The background of this paper (section 1) consists in a new account to foundation‐theoretic epistemology characterized by two features: (i) All beliefs are to be justified by deductive, inductive or abductive inferences from a minimalistic class of unproblematic (introspective or analytic) basic beliefs. (ii) Higher‐order justifications for these inferences are given by means of the novel method of optimality justifications. Optimality justifications are a new tool for epistemology (section 2). An optimality justification does not attempt todemonstratethat (...) a cognitive method is reliable (which is impossible), but pursues the more modest goal of demonstrating that the method isoptimalamong all accessible alternative methods for the given epistemic goal. The reasoning from the established optimality of a method to the acceptability of a particular belief generated by the method is accomplished by so‐called optimality principles. In sections 3–5, the method of optimality justifications is carried out in detail for three fundamental problems: justifying induction, logic, and theory‐generating abduction. (shrink)

Justificatory defenses apply to actions that are generally wrong and illegal—mainly since they harm people—when they are justified—usually since they prevent harm to others. A strict conception of justification limits justificatory defenses to actions that reflect all pertinent principles in the optimal manner. A more relaxed conception of justification applies to actions that do not reflect all pertinent principles optimally due to mistake but are not too far from this optimum. In the paper, I consider whether justificatory defenses (...) should reflect the strict conception of justification or a more relaxed conception of justification. This question is important since often the relevant actions are not strictly justified, while the alternative of an excuse is frequently irrelevant or does not provide an appropriate solution. Reflection on this question raises the following dilemma: On the one hand, the strict interpretation seems too harsh, especially with regard to legal liability. On the other hand, it is difficult to explain the basis for a more relaxed conception of justification. I conclude, first, that justification—and accordingly wrongfulness—is a matter of degree and that the strictly justified action is merely the peak of a continuum, and, second, that a practical reaction is in place only with regard to actions whose wrongness is above a minimal threshold. (shrink)

In this paper a new conception of foundation-oriented epistemology is developed. The major challenge for foundation-oriented justifications consists in the problem of stopping the justificational regress without taking recourse to dogmatic assumptions or circular reasoning. Two alternative accounts that attempt to circumvent this problem, coherentism and externalism, are critically discussed and rejected as unsatisfactory. It is argued that optimality arguments are a new type of foundation-oriented justification that can stop the justificational regress. This is demonstrated on the basis (...) of a novel result in the area of induction: the optimality of meta-induction. In the final section the method of optimality justification is generalized to deductive and abductive inferences. (shrink)

This paper examines the concept of coherence and its role in legal reasoning. First, it identifies some problem areas confronting coherence theories of legal reasoning about both disputed questions of fact and disputed questions of law. Second, with a view to solving these problems, it proposes a coherence model of legal reasoning. The main tenet of this coherence model is that a belief about the law and the facts under dispute is justified if it is “optimally coherent,” that is, if (...) it is such that an epistemically responsible legal decision-maker would have accepted it as justified by virtue of its coherence in like circumstances. Last, looking beyond the coherence theory, the paper explores the implications of the version of legal coherentism proposed for a general theory of legal reasoning and rationality. (shrink)

In the first section, five major attempts to solve the problem of induction and their failures are discussed. In the second section, an account of meta-induction is introduced. It offers a novel solution to the problem of induction, based on mathematical theorems about the predictive optimality of attractivity-weighted meta-induction. In the third section, how the a priori justification of meta-induction provides a non-circular a posteriori justification of object-induction, based on its superior track record, is explained. In the (...) fourth section, four important extensions and refinements of the method of meta-induction are presented. The final section, summarizes the major impacts of the program of meta-induction for epistemology, the philosophy of science and cognitive science. (shrink)

A new approach to Hume's problem of induction that justifies the optimality of induction at the level of meta-induction. Hume's problem of justifying induction has been among epistemology's greatest challenges for centuries. In this book, Gerhard Schurz proposes a new approach to Hume's problem. Acknowledging the force of Hume's arguments against the possibility of a noncircular justification of the reliability of induction, Schurz demonstrates instead the possibility of a noncircular justification of the optimality of induction, or, (...) more precisely, of meta-induction (the application of induction to competing prediction models). Drawing on discoveries in computational learning theory, Schurz demonstrates that a regret-based learning strategy, attractivity-weighted meta-induction, is predictively optimal in all possible worlds among all prediction methods accessible to the epistemic agent. Moreover, the a priori justification of meta-induction generates a noncircular a posteriori justification of object induction. Taken together, these two results provide a noncircular solution to Hume's problem. Schurz discusses the philosophical debate on the problem of induction, addressing all major attempts at a solution to Hume's problem and describing their shortcomings; presents a series of theorems, accompanied by a description of computer simulations illustrating the content of these theorems (with proofs presented in a mathematical appendix); and defends, refines, and applies core insights regarding the optimality of meta-induction, explaining applications in neighboring disciplines including forecasting sciences, cognitive science, social epistemology, and generalized evolution theory. Finally, Schurz generalizes the method of optimality-based justification to a new strategy of justification in epistemology, arguing that optimality justifications can avoid the problems of justificatory circularity and regress. (shrink)

The article aims to provide a justification for the claim that optimal development and becoming an optimiser are educational ideals that parents should pursue in raising their children. Optimal development is conceptualised as enabling children to grow into flourishing persons, that is persons who have developed their given possibilities to the full and optimally fulfil the domains that can be said to be objectively good for all people. This also comprises the development of children into persons who want to (...) become optimisers and pursue excellent aims in life, i.e. who pursue ideals. Optimal development is not only an ideal, it requires ideals too. With excellent examples of the objective goods that are good for all people, children are given examples of what it means to strive for the best and are thereby enabled to develop themselves to the full. Two main points of critique, namely that it leads to elitism and to neurotic perfectionism are discussed and rebutted. This leads to a defence of a form of realistic perfectionism. The article ends with a description of the way in which parents could aspire towards the ideal aim of realistic perfectionism. (shrink)

The principle of total evidence says that one should conditionalize one’s degrees of belief on one’s total evidence. In the first part, I propose a justification of this principle in terms of its epistemic optimality. The justification is based on a proof of I. J. Good and embedded into a new account of epistemology based on optimality-justifications. In the second part, I discuss an apparent conflict between the principle of total evidence and the political demands of (...) anti-discrimination. These demands require, for example, that information about the sex of the applicant for a job should not be included in the relevant evidence. I argue that if one assesses the applicant’s qualification in terms of those properties that are directly causally relevant for the job performance, then properties that are merely indirectly relevant, such as sex, race, or age, are screened off, i.e., become irrelevant. So, the apparent conflict disappears. (shrink)

Consider a set of shuffled observations drawn from a fixed probability distribution over some instance domain. What enables learning of inductive generalizations which proceed from such a set of observations? The scenario is worthwhile because it epistemically characterizes most of machine learning. This kind of learning from observations is also inverse and ill-posed. What reduces the non-uniqueness of its result and, thus, its problematic epistemic justification, which stems from a one-to-many relation between the observations and many learnable generalizations? The (...) paper argues that this role belongs to any complexity regularization which satisfies Norton’s Material Theory of Induction (MTI) by localizing the inductive risk to facts in the given domain. A prime example of the localization is the Lottery Ticket Hypothesis (LTH) about overparameterized neural networks. The explanation of MTI’s role in complexity regularization of neural networks is provided by analyzing the stability of Empirical Risk Minimization (ERM), an inductive rule that controls the learning process and leads to an inductive generalization on the given set of observations. In cases where ERM might become asymptotically unstable, making the justification of the generalization by uniform convergence unavailable, LTH and MTI can be used to define a local stability. A priori, overparameterized neural networks are such cases and the combination of LTH and MTI can block ERM’s trivialization caused by equalizing the strengths of its inductive support for risk minimization. We bring closer the investigation of generalization in artificial neural networks and the study of inductive inference and show the division of labor between MTI and the optimality justifications (developed by Gerhard Schurz) in machine learning. (shrink)

In this paper, the contributions to the account of meta-induction (Schurz 2019) collected in this volume are critically discussed and thereby, new insights are developed. How broad and expandable the program of meta-induction is can be learned from Ortner’s contribution. New insights about the transition from the a priori justification of meta-induction to the a posteriori justification of object-induction emerge from the reflection of Shogenji’s paper. How meta-induction may be applied also to religious prophecies and that their meta-inductive (...) justification does not fail for a priori reasons but because of missing evidence for predictive success is learned from the discussion of Pitts’ contribution. That meta-induction does not rely on a particular prior distribution, while the no free lunch theorem depends implicitly on a uniform prior, is the major conclusion drawn from the discussion of Wolpert’s article. How the problem of induction is treated in different versions of the Bayesian account is learned from the discussion of Willliamson’s paper. That meta-induction can also be employed for abduction, and that abductive theory-revision can offer meta-inductive aggregation methods is a new insight emerging from the reflection of Aliseda’s contribution. (shrink)

I evaluate Schurz's proposed meta-inductive justification of induction, a refinement of Reichenbach's pragmatic justification that rests on results from the machine learning branch of prediction with expert advice. My conclusion is that the argument, suitably explicated, comes remarkably close to its grand aim: an actual justification of induction. This finding, however, is subject to two main qualifications, and still disregards one important challenge. The first qualification concerns the empirical success of induction. Even though, I argue, Schurz's argument (...) does not need to spell out what inductive method actually consists in, it does need to postulate that there is something like the inductive or scientific prediction strategy that has so far been significantly more successful than alternative approaches. The second qualification concerns the difference between having a justification for inductive method and for sticking with induction for now. Schurz's argument can only provide the latter. Finally, the remaining challenge concerns the pool of alternative strategies, and the relevant notion of a meta-inductivist's optimality that features in the analytic step of Schurz's argument. Building on the work done here, I will argue in a follow-up paper that the argument needs a stronger dynamic notion of a meta-inductivist's optimality. (shrink)

This article poses a challenge to Schurz’s proposed metainductive justification of induction. It is argued that Schurz’s argument requires a notion of optimality that can deal with an expanding pool of prediction strategies.

In the research ethics literature, there is strong disagreement about the ethical acceptability of placebo-controlled trials, particularly when a tested therapy aims to alleviate a condition for which standard treatment exists. Recently, this disagreement has given rise to debate over the moral appropriateness of the principle of clinical equipoise for medical research. Underlying these debates are two fundamentally different visions of the moral obligations that investigators owe their subjects.Some commentators and ethics documents claim that physicians, whether acting as care givers (...) or researchers, have the same duty of beneficence towards their patients and subjects: namely, that they must provide optimal medical care. In discussing placebo surgery in research on refractory Parkinson's disease, Peter Clark succinctly states this view: “The researcher has an ethical responsibility to act in the best interest of subjects.”. (shrink)

The account of meta-induction (G. Schurz, Hume’s problem solved: the optimality of meta-induction, MIT Press, Cambridge, 2019) proposes a two-step solution to the problem of induction. Step 1 consists in a mathematical a priori justification of the predictive optimality of meta-induction, upon which step 2 builds a meta-inductive a posteriori justification of object-induction based on its superior track record (Sect. 1). Sterkenburg (Br J Philos Sci, forthcoming. 10.1086/717068/) challenged this account by arguing that meta-induction can only (...) provide a (non-circular) justification of inductive predictions for now and for the next future, but not a justification of inductive generalizations (Sect. 2). This paper develops a meta-inductive method that does provide an a posteriori justification of inductive generalizations, in the form of exchangeability conditions (Sect. 3). In Sect. 4, a limitation of the proposed method is worked out: while the method can justify weakly lawlike generalizations, the justification of strongly lawlike generalizations (claimed to hold for all eternity) requires epistemic principles going beyond meta-induction based on predictive success. (shrink)

Often, when several norms are present and may be in conflict, individuals will display a self-serving bias, privileging the norm that best serves their interests. Xiao and Bicchieri (J Econ Psychol 31(3):456–470, 2010) tested the effects of inequality on reciprocating behavior in trust games and showed that—when inequality increases—reciprocity loses its appeal. They hypothesized that self-serving biases in choosing to privilege a particular social norm occur when the choice of that norm is publicly justifiable as reasonable, even if not optimal (...) for one of the parties. In line with the literature on motivated reasoning, this justification should find some degree of support among third parties. The results of our experimental survey of third parties support the hypothesis that biases are not always unilateral selfish assessments. Instead, they occur when the choice to favor a particular norm is supported by a shared sense that it is a reasonable and justifiable choice. (shrink)

In Sect. 1 it is argued that systems of logic are exceptional, but not a priori necessary. Logics are exceptional because they can neither be demonstrated as valid nor be confirmed by observation without entering a circle, and their motivation based on intuition is unreliable. On the other hand, logics do not express a priori necessities of thinking because alternative non-classical logics have been developed. Section 2 reflects the controversies about four major kinds of non-classical logics—multi-valued, intuitionistic, paraconsistent and quantum (...) logics. Its purpose is to show that there is no particular domain or reason that demands the use of a non-classical logic; the particular reasons given for the non-classical logic can also be handled within classical logic. The result of Sect. 2 is substantiated in Sect. 3, where it is shown (referring to other work) that all four kinds of non-classical logics can be translated into classical logic in a meaning-preserving way. Based on this fact a justification of classical logic is developed in Sect. 4 that is based on its representational optimality. It is pointed out that not many but a few non-classical logics can be likewise representationally optimal. However, the situation is not symmetric: classical logic has ceteris paribus advantages as a unifying metalogic, while non-classical logics can have local simplicity advantages. (shrink)

Within the evidence-based medicine construct, clinical expertise is acknowledged to be both derived from primary experience and necessary for optimal medical practice. Primary experience in medical practice, however, remains undervalued. Clinicians’ primary experience tends to be dismissed by EBM as unsystematic or anecdotal, a source of bias rather than knowledge, never serving as the “best” evidence to support a clinical decision. The position that clinical expertise is necessary but that primary experience is untrustworthy in clinical decision-making is epistemically incoherent. Here (...) we argue for the value and utility of knowledge gained from primary experience for the practice of medicine. Primary experience provides knowledge necessary to diagnose, treat, and assess response in individual patients. Hierarchies of evidence, when advanced as guides for clinical decisions, mistake the relationship between propositional and experiential knowledge. We argue that primary experience represents a kind of medical knowledge distinct from the propositional knowledge produced by clinical research, both of which are crucial to determining the best diagnosis and course of action for particular patients. (shrink)

Setting aside various foundational moral entanglements, I will offer an argument for the protection of intellectual property based on individual self-interest and prudence. In large part, this argument will parallel considerations that arise in a prisoner’s dilemma game. After sketching the salient features of a prisoner’s dilemma, I will briefly examine the nature of intellectual property and how one can view content creation, exclusion, and access as a prisoner’s dilemma. In brief, allowing content to be unprotected in terms of free (...) access leads to a sub-optimal outcome where creation and innovation are suppressed. Finally, I will argue that adopting the institutions of copyright, patent, and trade secret is one way we can avoid these sub-optimal results. (shrink)

White (2015) proposes an a priori justification of the reliability of inductive prediction methods based on his thesis of induction-friendliness. It asserts that there are by far more induction-friendly event sequences than induction-unfriendly event sequences. In this paper I contrast White's thesis with the famous no free lunch (NFL) theorem. I explain two versions of this theorem, the strong NFL theorem applying to binary and the weak NFL theorem applying to real-valued predictions. I show that both versions refute the (...) thesis of induction-friendliness. In the conclusion I argue that an a priori justification of the reliability of induction based on a uniform probability distribution over possible event sequences is impossible. In the outlook I consider two alternative approaches: (i) justification externalism and (ii) optimality justifications. (shrink)

As our epistemic ambitions grow, the common and scientific endeavours are becoming increasingly dependent on Machine Learning (ML). The field rests on a single experimental paradigm, which consists of splitting the available data into a training and testing set and using the latter to measure how well the trained ML model generalises to unseen samples. If the model reaches acceptable accuracy, an a posteriori contract comes into effect between humans and the model, supposedly allowing its deployment to target environments. Yet (...) the latter part of the contract depends on human inductive predictions or generalisations, which infer a uniformity between the trained ML model and the targets. The paper asks how we justify the contract between human and machine learning. It is argued that the justification becomes a pressing issue when we use ML to reach ‘elsewheres’ in space and time or deploy ML models in non-benign environments. The paper argues that the only viable version of the contract can be based on optimality (instead of on reliability which cannot be justified without circularity) and aligns this position with Schurz’s optimality justification. It is shown that when dealing with inaccessible/unstable ground-truths (‘elsewheres’ and non-benign targets), the optimality justification undergoes a slight change, which should reflect critically on our epistemic ambitions. Therefore, the study of ML robustness should involve not only heuristics that lead to acceptable accuracies on testing sets. The justification of human inductive predictions or generalisations about the uniformity between ML models and targets should be included as well. Without it, the assumptions about inductive risk minimisation in ML are not addressed in full. (shrink)

The justification of democracy, while widely debated, is hindered by a sub-optimal conceptual framework. For a start, there is confusion about the basic terms in the discussion. Many theorists claim to support either the ‘intrinsic’ or the ‘instrumental’ value of democracy, but it is unclear what this exactly means. Can democracy have other kinds of values? What does it mean to value democracy intrinsically? As a result, at certain points, scholars are talking past one another and their assessments of (...) their respective approaches to democracy are less clear than what they intended. This paper develops a conceptual framework of the values of democracy. I use this framework to classify theories of democracy under three main groups: theories that value democracy intrinsically, instrumentally, or contributorily (necessarily and non-necessarily). Through this analysis, the points of engagement among the different approaches will emerge and flawed arguments about democracy will be revealed. (shrink)

Procedural justifications of democracy emphasize inclusiveness and respect and by doing so come into conflict with instrumental justifications that depend on voters’ competence. This conflict raises questions about jury theorems and makes their standing in democratic theory contested. We show that a type of no-regret learning called meta-induction can help to satisfy the competence assumption without excluding voters or diverse opinion leaders on an a priori basis. Meta-induction assigns weights to opinion leaders based on their past predictive performance to determine (...) the level of their inclusion in recommendations for voters. The weighting minimizes the difference between the performance of meta-induction and the best opinion leader in hindsight. The difference represents the regret of meta-induction whose minimization ensures that the recommendations are optimal in supporting voters’ competence. Meta-induction has optimal truth-tracking properties that support voters’ competence even if it is targeted by mis/disinformation and should be considered a tool for supporting democracy in hyper-plurality. (shrink)

The justification of induction is of central significance for cross-cultural social epistemology. Different ‘epistemological cultures’ do not only differ in their beliefs, but also in their belief-forming methods and evaluation standards. For an objective comparison of different methods and standards, one needs (meta-)induction over past successes. A notorious obstacle to the problem of justifying induction lies in the fact that the success of object-inductive prediction methods (i.e., methods applied at the level of events) can neither be shown to be (...) universally reliable (Hume's insight) nor to be universally optimal. My proposal towards a solution of the problem of induction is meta-induction. The meta-inductivist applies the principle of induction to all competing prediction methods that are accessible to her. By means of mathematical analysis and computer simulations of prediction games I show that there exist meta-inductive prediction strategies whose success is universally optimal among all accessible prediction strategies, modulo a small short-run loss. The proposed justification of meta-induction is mathematically analytical. It implies, however, an a posteriori justification of object-induction based on the experiences in our world. In the final section I draw conclusions about the significance of meta-induction for the social spread of knowledge and the cultural evolution of cognition, and I relate my results to other simulation results which utilize meta-inductive learning mechanisms. (shrink)

The subject of my dissertation is "rationality". In this book I undertake a comprehensive, systematic and independent treatment of the problem of rationality. This furthers progress toward a general theory of rationality, one that represents and defends a uniform conception of reason. The structure and general outline are as follows: Part I: General Definition of the Concept; Part II: Rationality in the Theoretical Realm; Part III: Rationality in the Practical Realm (parts II and III are divided respectively into A. Relative (...) Reasons and B. Absolute Reasons); Part IV: Grounds for the Principle of Reason. My aim in this work is to prove that a conception of rationality as justification of our usage of language is more significant than has been classically recognized, without, however, reducing the concept of rationality. After a definition of the term is provided in the first chapter by means of language analysis, the following three questions are dealt with in the subsequent chapters: a) Exhaustion of rationality in relative reasons—i.e., is reasoning exhausted by reference to existing views and goals, or does rationality also exist in a strong sense? The latter would be the case if the views and goals referred to the relative conception must themselves be justified de novo. I argue that such an absolute justification of views and goals cannot be provided. To this end, in the theoretical domain, I discuss a question prominent in the debate over the rationality of worldviews, namely the question of whether the standards of theoretical rationality are merely culturally relative (chapter V.). Here I arrive at the position that standards of theoretical rationality are only transcultural insofar as there are goals which are not themselves culturally-dependent. With regard to practically fundamental goals, the core standards of modern science can be justified. This justification strategy therefore requires that such goals be established. In practical terms, first I address (in Chapter VII) the so-called "final justification" of norms problem. Here I discuss above all the transcendental-pragmatic proposal and the contractualist conception. According to my view, neither succeed in providing a final rational grounding for norms. That grounding pertains instead to the rationale for objectives, and Chapter VIII demonstrates that even a final justification of objectives is impossible. This does not mean, however, that a person's goals cannot be criticized as irrational. But the warrant in this case depends on the rules that govern the genesis of desires being accepted by the subject. b) If substantive rationality does not exist because no absolute grounding for opinions and goals can obtain, then the question of how strong or weak the concept of rationality is acquires further weight. On that basis, relative theoretical and practical rationality is examined in detail. I aim with this analysis of (relative) rationality to apprehend the structural parallelism between rationality in both the practical and the theoretical domain, and therefore to defend a uniform conception of reason or rationality. This is accomplished by identifying a concept that exhibits the same structure in both theoretical and practical domains: the term "rational" is applied to actions and opinions in order to claim, first of all, that they are "well-founded." For example, one must inquire into the precise rational justification for opinions or actions. To determine the individually necessary and jointly sufficient conditions required for an opinion or action to be rational, one must first provide a formal characterization of the rationality of those opinions or actions. What is to count as a rational ground can only be explained by formal procedures and results achievable via those procedures. To be more specific, I claim that the process of opinion formation and practical reflection is subject to rational justification based on internalist rules. The rules governing theoretical rationality can have their content transformed in a further move, if one takes the result of the process of rational opinion-formation as the product of an epistemological determination, that is, as a decision about which opinion to hold that is made on the basis of epistemological or prudential goals. Implicit in this position is the controversial idea that one can actually decide to believe something. The rules of practical reason are the rules that guide the rational selection of objectives and actions. The structural parallelism of theoretical and practical rationality consists, therefore, in the fact that both refer to mental processes that are controlled by rules which one freely accepts and follows. In both cases, these rules are to be understood as governing the rational choice of a mental or physical action. c) Therefore, the question of whether rationality—being rational—can in turn be grounded by reasons can be answered in the following way: The rules of rationality can only be justified with reference to a person’s goals, as the best strategy for achieving those goals. If someone does not desire the optimal realization of his goals, there is no other way of arguing directly for rationality. One can only attempt to demonstrate—if the person is open to argument—that it is typically in the person's own best interest to adhere to the rules of rationality. (shrink)

We all have experiences in which it “seems clear” to us that something is true. This kind of clear experience can play significant roles in determining whether we believe something to be true. But what are the significant roles? So far, the literature has focused on optimal cases where a person's clear experience might provide prima facie justification for their belief. This article will develop the hypothesis that, in less optimal cases, these clear experiences can be epistemically damaging. Specifically, (...) it will argue that, in certain cases, such experiences may causally compel belief even in the face of counterevidence. (shrink)

This paper starts with an examination of the major problems of foundation-oriented epistemology in Sect. 2. Then, in Sects. 3–4, it is argued that the externalistic re-definition of knowledge deprives this concept from useful applications to human’s epistemic practice. From the viewpoint of cultural evolution, the condition of justification is the most important ingredient of knowledge. An alternative foundation-oriented conception of knowledge called third-person internalism is developed in Sect. 2 and Sect. 5. It combines insights of externalism with the (...) requirement of second-order justification. The application of third-person internalism to contextualistic positions leads to an important constraint on contextualism (Sect. 6). The final section (Sect. 7) sketches new prospects for a foundation-oriented epistemology which are based on epistemic optimality arguments. (shrink)

The meaning and justification of the requirement of total evidence are examined. It is argued that there are several significantly different interpretations of the requirement, but each interpretation makes the requirement highly suspect. For any of the usual interpretations of the requirement, it would be quite unreasonable to conduct inquiry in such a way as to fulfill it. It is then suggested that the rational inquirer should seek the optimal amount of evidence, rather than all the evidence. This raises (...) the problems surrounding the idea of scientific or epistemic utility. (shrink)

This book scrutinizes recent work in phonological theory from the perspective of Chomskyan generative linguistics and argues that progress in the field depends on taking seriously the idea that phonology is best studied as a mental computational system derived from an innate base, phonological Universal Grammar. Two simple problems of phonological analysis provide a frame for a variety of topics throughout the book. The competence-performance distinction and markedness theory are both addressed in some detail, especially with reference to phonological acquisition. (...) Several aspects of Optimality Theory, including the use of Output-Output Correspondence, functionalist argumentation and dependence on typological justification are critiqued. The authors draw on their expertise in historical linguistics to argue that diachronic evidence is often mis-used to bolster phonological arguments, and they present a vision of the proper use of such evidence. Issues of general interest for cognitive scientists, such as whether categories are discrete and whether mental computation is probabilistic are also addressed. The book ends with concrete proposals to guide future phonological research.The breadth and depth of the discussion, ranging from details of current analyses to the philosophical underpinnings of linguistic science, is presented in a direct style with as little recourse to technical language as possible. (shrink)

The conclusions derived by Keynes in his Treatise on Probability (1921) concerning induction, analogical reasoning, expectations formation and decision making, mirror and foreshadow the main conclusions of cognitive science and psychology.The problem of weight is studied within an economic context by examining the role it played in Keynes' applied philosophy work, The General Theory (1936). Keynes' approach is then reformulated as an optimal control approach to dealing with changes in information evaluation over time. Based on this analysis the problem of (...) inductive justification, from a societal perspective, is not, What can we rationally believe will occur in the economic future, given our past experiences? but Can we make the future so as to attain specific economic goals with practical certainty? An answer requires that restrictions be placed on the methodological individualist approach and the acceptance of a restricted holistic approach. (shrink)

This article accounts for how Kant’s understanding of enlightenment gives normative, communicative structure to public reason as a practice. Kantian public reason is argued to be collegial. As public reasoners promoting our enlightenment, we should seek optimal scrutiny from a generally unrestricted, intellectually and epistemically diverse audience. To receive this scrutiny, we should communicate in a way that facilitates this audience’s ability to scrutinise our views – situating others as our colleagues – which in turn facilitates their promotion of their (...) own enlightenment. As a practice in which we help others promote their enlightenment by helping them help us promote ours, Kantian public reason is argued to be cooperative. But intriguingly, Kant offers a sufficient justification for this cooperative communication on first-personal grounds. The article details some of Kant’s more concrete thoughts on how we should communicate as public reasoners, and concludes by appraising his parsimonious justification of collegial communication as a resource for addressing contemporary concerns about public discourse. (shrink)

This article argues for the thesis that there is only one basic form of rationality, which is applied in different areas. First of all, there is one meaning of the term "rational" which applies to all situations in which the term is used: "justified." If "rational" means simply "justified", then rationality can be broken down into as many types as there are kinds of justification. Two distinctions between kinds of justification seem particularly plausible: 1. relative vs. absolute justifications (...) and 2. theoretical justifications of opinions vs. practical justifications of actions. Taken together, these two distinctions yield a division into four types of rationality. I maintain, however, that these two distinctions collapse upon more careful examination. In this article I will simply assume that no form of ultimate justification is convincing; thus, the first distinction does not apply. Against the second distinction I try to argue in this paper that theoretical rationality represents a form of practical rationality. The idea of an optimal choice of aims, actions, and opinions, which nonetheless differs from the orthodox model of practical rationality, thus proves to be the comprehensive central ingredient of the concept of rationality. (shrink)

Public health ethics is a subfield of bioethics that focuses on population health. This study aims to conform the principles of biomedical ethics to Islamic values in the context of public health. It culturally helps to optimize health care delivery. The approach is based on the method of immanent critique. The principle of the common good in Islam has a rational justification to draw public interests and ward off harms. The rule of “no harm”, with an emphasis on the (...) preferability of preventing harm to increase benefits, is consistent with the principle of utility, intending to produce a maximum balance of benefit over harm in the context of public health. Thus, on the one hand, the government is obliged to prevent harm and improve public benefits and, on the other hand, as a steward of health and with reference to the article “limitation of the ownership dominance”, it has the right to protect public health with the least justifiable harm. Islam attention to human dignity, individual justice and good will in the rule of goodness implies that Islam, beyond distributive justice, knows that human flourishing and the cultivation of moral virtues are a requisite for the realization of social justice. The present study discusses about the adjustment of the principles of PHE to the principles of the Islamic jurisprudence and, at the same time, it explains why the optimal PH in Muslim societies requires research in order to define accurate indicators of benefit and harm based on the teachings of revelation and reason. (shrink)

Uncertainty and instability haunt us every day in today’s new reality. The purpose is a theoretical justification and empirical study of the hardiness of the personality in critical conditions of life. Psychodiagnostic complex of hardiness is indicated as a factor of personality adaptation. High average and high levels of hardiness are characteristics of an independently developed personality with a high ability to adapt. It has been established that the average level of hardiness contributes to the optimal experience of situations (...) of uncertainty and involves a person’s choice of coping strategies to counteract the new difficulties in professional and personal life. It has been substantiated that respondents who have high rates of hardiness have a higher level of adaptation efficiency. It has been stated that “risk acceptance” as the component of hardiness of participants of the “Work and Travel” program is more pronounced than in the respondents of other samples. It has been proved that empirical research of semantic psychological parameters of personality hardiness in critical conditions of life allowed to draw significant conclusions. It is noted that the results of the study need to be operationalized in training, educational and developmental and psycho-correctional practices. It is emphasized that the obtained empirical results should be used in the training of applicants for psychological specialties. (shrink)

This paper develops a model of individual decision-making under bounded rationality in which discretionary cognitive adjustment creates a durable stock that complements choice of action. While it increases utility, adjustment also entails a cost, because focusing attention optimally is effortful and mental resources are scarce. Associated behavioral phenomena are categorized based on whether the operative motivation in adjusting is forward-looking utility maximization or justification of prior action. The theory is in line with prior conceptions of cognitive dissonance, but also (...) offers a more empirically consistent explanation of the endowment effect, persuasive advertising, and sunk-cost effects than existing accounts. (shrink)

Principles-based biomedical ethics has been a dominant paradigm for the teaching and practice of biomedical ethics for over three decades. Attractive in its conceptual and linguistic simplicity, it has also been criticized for its lack of moral content and justification and its lack of attention to relationships. This book identifies the modernist and postmodernist worldviews and philosophical roots of principlism that ground the moral minimalism of its common morality premise. Building on previous work by prominent Christian bioethicists, an alternative (...) covenantal ethical framework is presented in our contemporary context. Relationships constitute the core of medicine, and understanding the ethical meaning of those relationships is important in providing competent and empathic care. While the notion of covenant is articulated through the richness of meaning taught in the Christian Scriptures, covenantal commitment is also appreciated in Islamic, Jewish, and even pagan traditions as well. In a world of increasing medical knowledge and consequent complexity of care, such commitment can help to resist enticements toward the pursuit of self-interest. It can also improve relationships among caregivers, each of whose specific expertise must be woven into a matrix of care that constitutes optimal medical practice for each vulnerable and needy patient. (shrink)

This article suggests a ‘best alternative' justification of induction (in the sense of Reichenbach) which is based on meta-induction . The meta-inductivist applies the principle of induction to all competing prediction methods which are accessible to her. It is demonstrated, and illustrated by computer simulations, that there exist meta-inductivistic prediction strategies whose success is approximately optimal among all accessible prediction methods in arbitrary possible worlds, and which dominate the success of every noninductive prediction strategy. The proposed justification of (...) meta-induction is mathematically analytical. It implies, however, an a posteriori justification of object-induction based on the experiences in our world. *Received November 2005; revised March 2008. †To contact the author, please write to: Department of Philosophy, University of Duesseldorf, Universitaetsstrasse 1, Geb. 23.21, Duesseldorf, Germany D-40225; e-mail: [email protected]. (shrink)

The modal argument for the existence of a Cartesian human soul proposed by Richard Swinburne more than thirty years ago, if slightly adjusted and interpreted correctly, becomes a plausible argument for anyone who accepts modal arguments. The difficulty consists in a relatively weak justification of the second premise, of the real possibility of a disembodied existence, as a result of which the argument does not provide a real proof. The argument is best understood in the following terms: Special divine (...) action is excluded from the metaphysical possibilities and only the natural possibilities are considered; the “conceivable” possibility of the existence of a person without a body is interpreted as a metaphysical possibility, and inductive support for its reality is provided by apparent first-person-conceivability of a disembodied existence, detailed descriptions of out-of-body and near-death experiences, a priori trust in introspection in psychology and the cognitive sciences, and by the unity of consciousness and the possibility of its extension to peripersonal space; statements about having a soul or being a material substance are excluded from the domain of the premises; and finally, one accepts the Kripkean principle that having a body or a soul is an essential component of a person. If these conditions are met, the argument is valid, and the conclusion is made more plausible by Swinburne’s modal argument than it would be without it.Argumentum modale pro animae humanae “Cartesianae” existentia, quod R. Swinburne ante plures quam 30 annos proposuit, acceptabile reddi potest cuicumque argumenta modalia non generatim respuenti, si paululum emendetur recteque intelligatur. Omnis huius argumenti diffi cultas consistit in iustifi catione debiliore secundae eius praemissae, quo pacto argumentum ineffi cax redditur. Argumentum vero optime intelligetur his quattuor punctis animadversis: Primo, possibilitas metaphysica non nisi possibilitates naturales comprehendere intelligatur, omni speciali Dei ingerentia exclusa. Secundo, personae possibilitas “conceptibilis” sine corpore existendi intelligatur ut realis possibilitas metaphysica. Cui realitati argumenta favent inductiva tum ex possibilitate imaginandi existentiam sine corpore; tum ex minutatim enarratis testimoniis experiendi status “extra corpus” et “prope mortem”; tum ex fi de fundamentali veritatis introspectionis in psychologia scientiis que cognitivis; tum ex unitate conscientiae ac possibilitate eam in spatium extra corpus extendendi. Tertio, e praemissarum congerie assertiones excludantur quibus homo animam habere vel substantiam materialem esse assumeretur. Quarto, principium S. Kripkii accipiatur, scil. corporis vel animae habitum personae essentialem esse debere. His omnibus servatis argumentum Swinburnii validum evadit, conclusionem suam plus credibilem reddens quam secus esset. (shrink)

Ziel des Beitrages ist, die Bedeutung der Mysterien für das Denken des jungen Nietzsche, der unauffällig, aber dezidiert die Kernbegriffe seines Philosophierens - das Apollinische und das Dionysische, die Tragödie, die ästhetische Rechtfertigung der Welt - mit einer 'Geheimlehre' vervindet, auszuloten. Eine textnah Interpretation seiner Aussagen zur apollinischen bzw. dionysischen Mysterienordung zeigt, dass die tragische griechische Kultur im Mysterienvorgang als kultischem un institutionellem Geschehen begründet ist. Aus Nietzsches Analyse dieser die Metaphysik des Willens exemplarisch zum Ausdruck bringenden Kultur geht hervor, (...) dass ohne Mysterien der Wille sich nicht optimal entfalten kann. Diese Einsicht überträgt Nietzsche auch in die Sprache seines Philosophierens.The aim of the article is to fathom the meaning of mystery cults in Nietzsche's early thinking. in a discreet manner, he associates the key concepts of his philosophy - the Apollonian and the Dionysian, the tragedy, the aesthetic justification of the world - with a 'secret doctrine'. A close reading of his writings on the Apollonian and Dionysian 'mystery order' shows that the tragic Greek culture is founded on the mysteris as cultic and institutional happenings. Nietzsche's analysis of this culture, which gives expression to the metaphysics of the will in an exemplary fashion, reveals that without mystery cults the will cannot unfold itself optimally . Nietzsche translates this insight also into the language of his philosophy. (shrink)

In order to prove the validity of logical rules, one has to assume these rules in the metalogic. However, rule-circular ‘justifications’ are demonstrably without epistemic value. Is a non-circular justification of a logical system possible? This question attains particular importance in view of lasting controversies about classical versus non-classical logics. In this paper the question is answered positively, based on meaning-preserving translations between logical systems. It is demonstrated that major systems of non-classical logic, including multi-valued, paraconsistent, intuitionistic and quantum (...) logics, can be translated into classical logic by introducing additional intensional operators into the language. Based on this result it is argued that classical logic is representationally optimal. In sec. 6 it is investigated whether non-classical logics can be likewise representationally optimal. The answer is predominantly negative but partially positive. Nevertheless the situation is not symmetric, because classical logic has important ceteris paribus advantages as a unifying metalogic. (shrink)

Splitting livers allows two people (usually an adult and a child) to receive a liver transplant from one donated adult liver, but the risks to the adult recipient are greater than if they had received the equivalent whole liver. It has been suggested, therefore, that splitting livers harms adult recipients. Without liver splitting, however, there would be few livers available for children, and paediatric waiting time and waiting list mortality would significantly increase. In this paper, we argue that although splitting (...) livers makes adults worse off, this should be considered sub-optimal benefit rather than harm. We explore justifications for sub-optimally benefitting adults in this way and consider alternatives to the current approach. We argue that splitting livers masks the more fundamental problem of low paediatric donation rates and that increasing the number of paediatric donations would improve the situation for both adult and paediatric liver patients. (shrink)

Akama et al. [1] systematically studied an arithmetical hierarchy of the law of excluded middle and related principles in the context of first-order arithmetic. In that paper, they first provide a prenex normal form theorem as a justification of their semi-classical principles restricted to prenex formulas. However, there are some errors in their proof. In this paper, we provide a simple counterexample of their prenex normal form theorem [1, Theorem 2.7], then modify it in an appropriate way which still (...) serves to largely justify the arithmetical hierarchy. In addition, we characterize a variety of prenex normal form theorems by logical principles in the arithmetical hierarchy. The characterization results reveal that our prenex normal form theorems are optimal. For the characterization results, we establish a new conservation theorem on semi-classical arithmetic. The theorem generalizes a well-known fact that classical arithmetic is $\Pi _2$ -conservative over intuitionistic arithmetic. (shrink)

The referral is the key source of information that enables radiologists and radiographers to provide quality services. However, the frequency of suboptimal referrals is widely reported. This research reviews the literature to illuminate the challenges suboptimal referrals present to the delivery of care in radiology departments. The concept of suboptimal referral includes information, that is; missing, insufficient, inconsistent, misleading, hard to interpret or wrong. The research uses the four ethical principles ofnon-maleficence, beneficence, AutonomyandJusticeas an analytic framework.Suboptimal referrals can causeharmby hindering (...) safe contrast-media administration, proper radiation protection by justification of procedures, and compassionate patient care. Suboptimal referrals also hinder promoting patientbenefitsfrom the correct choice of imaging modality and protocol, an optimal performed examination, and an accurate radiology report. Additionally, patientautonomyis compromised from the lack of information needed to facilitate benefit–risk communication. Finally, suboptimal referrals challengejusticebased on lack of reasonable patient prioritising and the unfairness caused by unnecessary examinations.These findings illuminate how suboptimal referrals can inhibit good health and well-being for patients in relation to safety, missed opportunities, patient anxiety and dissatisfaction. The ethical challenges identified calls for solutions. Referral-decision support tools and artificial intelligence may improve referral quality, when implemented. Strategies addressing efforts of radiology professionals are inevitable, including gatekeeping, shared decision-making and inter-professional communication; thereby raising awareness of the importance of good referral quality and promoting commitment to ethical professional conduct. (shrink)

The aim of this study is to justify the belief that there are biological normative mechanisms that fulfill non-trivial causal roles in the explanations (as formulated by researchers) of actions and behaviors present in specific systems. One example of such mechanisms is the predictive mechanisms described and explained by predictive processing (hereinafter PP), which (1) guide actions and (2) shape causal transitions between states that have specific content and fulfillment conditions (e.g. mental states). Therefore, I am guided by a specific (...) theoretical goal associated with the need to indicate those conditions that should be met by the non-trivial theory of normative mechanisms and the specific models proposed by PP supporters. In this work, I use classical philosophical methods, such as conceptual analysis and critical reflection. I also analyze selected studies in the field of cognitive science, cognitive psychology, neurology, information theory and biology in terms of the methodology, argumentation and language used, in accordance with their theoretical importance for the issues discussed in this study. In this sense, the research presented here is interdisciplinary. My research framework is informed by the mechanistic model of explanation, which defines the necessary and sufficient conditions for explaining a given phenomenon. The research methods I chose are therefore related to the problems that I intend to solve. In the introductory chapter, “The concept of predictive processing”, I discuss the nature of PP as well as its main assumptions and theses. I also highlight the key concepts and distinctions for this research framework. Many authors argue that PP is a contemporary version of Kantianism and is exposed to objections similar to those made against the approach of Immanuel Kant. I discuss this thesis and show that it is only in a very general sense that the PP framework is neo-Kantian. Here we are not dealing with transcendental deduction nor with the application of transcendental arguments. I argue that PP is based on reverse engineering and abduction inferences. In the second part of this chapter, I respond to the objection formulated by Dan Zahavi, who directly accuses this research framework of anti-realistic consequences. I demonstrate that the position of internalism, present in the so-called conservative PP, does not imply anti-realism, and that, due to the explanatory role played in it by structural representations directed at real patterns, it is justified to claim that PP is realistic. In this way, I show that PP is a non-trivial research framework, having its subject, specific methods and its own epistemic status. Finally, I discuss positions classified as the socalled radical PP. In the chapter “Predictive processing as a Bayesian explanatory model” I justify the thesis according to which PP offers Bayesian modeling. Many researchers claim that the brain is an implemented statistical probabilistic network that is an approximation of the Bayesian 7 rule. In practice, this means that all cognitive processes are to apply Bayes' rule and can be described in terms of probability distributions. Such a solution arouses objections among many researchers and is the subject of wide criticism. The purpose of this chapter is to justify the thesis that Bayesian PP is a non-trivial research framework. For this purpose, I argue that it explains certain phenomena not only at the computational level described by David Marr, but also at the level of algorithms and implementation. Later in this chapter I demonstrate that PP is normative modeling. Proponents of the use of Bayesian models in psychology or decision theory argue that they are normative because they allow the formulation of formal rules of action that show what needs to be done to make a given action optimal. Critics of this approach emphasize that such thinking about the normativity of Bayesian modeling is unjustified and that science should shift from prescriptive to descriptive positions. In a polemic with Shira Elqayam and Jonathan Evans (2011), I show that the division they propose into prescriptivism and Bayesian descriptivism is apparent, because, as I argue, there are two forms of prescriptivism, i.e. the weak and the strong. I argue that the weak version is epistemic and can lead to anti-realism, while the strong version is ontic and allows one to justify realism in relation to Bayesian models. I argue that a weak version of prescriptivism is valid for PP. It allows us to adopt anti-realism in relation to PP. In practice, this means that you can explain phenomena using Bayes' rule. This does not, however, imply that they are Bayesian in nature. However, the full justification of realism in relation to the Bayesian PP presupposes the adoption of strong prescriptivism. This position assumes that phenomena are explained by Bayesian rule because they are Bayesian as such. If they are Bayesian in nature, then they should be explained using Bayesian modeling. This thesis will be substantiated in the chapters “Normative functions and mechanisms in the context of predictive processing” and “Normative mechanisms and actions in predictive processing”. In the chapter “The Free Energy Principle in predictive processing”, I discuss the Free Energy Principle (hereinafter FEP) formulated by Karl Friston and some of its implications. According to this principle, all biological systems (defined in terms of Markov blankets) minimize the free energy of their internal states in order to maintain homeostasis. Some researchers believe that PP is a special case of applying this principle to cognition, and that predictive mechanisms are homeostatic mechanisms that minimize free energy. The discussion of FEP is important due to the fact that some authors consider it to be important for explanatory purposes and normative. If this is the case, then FEP turns out to be crucial in explaining normative predictive mechanisms and, in general, any normative biological mechanisms. To define the explanatory possibilities of this principle, I refer to the discussion of its supporters on the issue they define as the problem of continuity and discontinuity between life and mind. A critical analysis of this discussion and the additional arguments I have formulated have allowed me to revise the explanatory ambitions of FEP. I also reject the belief that this principle is necessary to explain the nature of predictive mechanisms. I argue that the principle formulated and defended by Friston is an important research heuristic for PP analysis. 8 In the chapter “Normative functions and mechanisms in predictive processing”, I start my analyzes by formulating an answer to the question about the normative nature of homeostatic mechanisms. I demonstrate that predictive mechanisms are not homeostatic. I defend the view that a full explanation of normative mechanisms presupposes an explanation of normative functions. I discuss the most important proposals for understanding the normativity of a function, both from a systemic and teleosemantic perspective. I conclude that the non-trivial concept of a function must meet two requirements which I define as explanatory and normative. I show that none of the theories I have invoked satisfactorily meets both of these requirements. Instead, I propose a model of normativity based on Bickhard's account, but supplemented by a mechanistic perspective. I argue that a function is normative when: (1) it allows one to explain the dysfunction of a given mechanism; (2) it contributes to the maintenance of the organism's stability by shaping and limiting possible relations, processes and behaviors of a given system; and when (3) (according to the representational and predictive functions) it enables explaining the attribution of logical values of certain representations / predictions. In such an approach, a mechanism is normative when it performs certain normative functions and when it is constitutive for a specific action or behavior, despite the fact that for some reason it cannot realize it either currently or in the long-term. Such an understanding of the normativity of mechanisms presupposes the acceptance of the epistemic hypothesis. I argue that this hypothesis is not cognitively satisfactory, and therefore the ontic hypothesis should be justified, which is directly related to adopting the position of ontic prescriptivism. For this reason, referring to the mechanistic theory of scientific explanations, I formulate an ontical interpretation of the concept of a normative mechanism. According to this approach, a mechanism or a function is normative when they perform such and such causal roles in explaining certain actions and behaviors. With regard to the normative properties of predictive mechanisms and functions, this means that they are the causes of specific actions an organism carries out in the environment. In this way, I justify the necessity of accepting the ontic hypothesis and rejecting the epistemic hypothesis. The fifth chapter, “Normative mechanisms and actions in predictive processing”, is devoted to the dark room problem and the related exploration-exploitation trade-off. A dark room is the state that an agent could be in if it minimized the sum of all potential prediction errors. I demonstrate that, in accordance with the basic assumption of PP about the need for continuous and long-term minimization of prediction errors, such a state should be desirable for the agent. Is it really so? Many authors believe it is not. I argue that the test of the value of PP is the possibility of a non-trivial solution of this problem, which can be reduced to the choice between active and uncertainty-increasing exploration and safe and easily predictable exploitation. I show that the solution proposed by PP supporters present in the literature does not enable a fully satisfactory explanation of this dilemma. Then I defend the position according to which the full explanation of the normative mechanisms, and, subsequently, the solution to the dilemma of exploration and exploitation, involves reference to the existence of constraints present in the environment. The constraints 9 include elements of the environment that make a given mechanism not only causal but also normative. They are therefore key to explaining the predictive mechanisms. They do not only play the role of the context in which the mechanism is implemented, but, above all, are its constitutive component. I argue that the full explanation of the role of constraints in normative predictive mechanisms presupposes the integration of individual models of specific cognitive phenomena, because only the mechanistic integration of PP with other models allows for a non-trivial explanation of the nature of normative predictive mechanisms that would have a strong explanatory value. The explanatory monism present in many approaches to PP makes it impossible to solve the problem of the dark room. Later in this chapter, I argue that the Bayesian PP is normative not because it enables the formulation of such and such rules of action, but because the predictive mechanisms themselves are normative. They are normative because they condition the choice of such and such actions by agents. In this way, I justify the hypothesis that normative mechanisms make it possible to explain the phenomenon of agent motivation, which is crucial for solving the dark room problem. In the last part of the chapter, I formulate the hypothesis of distributed normativity, which assumes that the normative nature of certain mechanisms, functions or objects is determined by the relations into which these mechanisms, functions or objects enter. This means that what is normative (in the primary sense) is the relational structure that constitutes the normativity of specific items included in it. I suggest that this hypothesis opens up many areas of research and makes it possible to rethink many problems. In the “Conclusion”, I summarize the results of my research and indicate further research perspectives. (shrink)

Joseph Heath defends competitive markets and conceptualizes business ethics with reference to Pareto efficiency, which he takes to be the “implicit morality of the market.” His justification for markets is that they generate Pareto efficient outcomes, meaning that markets optimally satisfy consumer preferences. And, for Heath, business ethics is the set of normative constraints—regulation and beyond-compliance norms—needed to preserve that outcome. The present paper accepts Heath’s claim that the economic justification for markets is ethical, in that satisfying consumer (...) preferences is a good. But, contra Heath, the ethical consideration at work is a consequentialist one; and acknowledging this consequentialism exposes limitations of Heath’s “market failures” approach to business ethics. We suggest two limitations, and we expect many will accept our argument that Heath’s conception of business ethics is too narrow. The present paper outlines two broader implications. First, acknowledging that the justification for markets is ethical eliminates the apparent—and false—conflict between purportedly amoral economic activity on one hand and ethical considerations on the other; instead, business ethics is a matter of weighing the consequentialist ethical benefit of economic activity and markets against other moral arguments/other ethical considerations. Second, Heath restricts business ethics to the constraints needed to protect the market’s ability to efficiently satisfy consumer preferences, constraints he calls “efficiency imperatives”; this restriction supports the widespread tendency to think that all social problems are economic; and, a business ethics so-conceived diminishes the perceived importance of noneconomic values—this attitude is dangerous. (shrink)

According to the Feigl–Reichenbach–Salmon–Schurz pragmatic justification of induction, no predictive method is guaranteed or even likely to work for predicting the future; but if anything will work, induction will work—at least when induction is employed at the meta-level of predictive methods in light of their track records. One entertains a priori all manner of esoteric prediction methods, and is said to arrive a posteriori at the conclusion, based on the actual past, that object-level induction is optimal. Schurz’s refinements largely (...) solve the notorious short-run problem. A difficulty is noted, however, related to short-run worries but based on localized disagreement about the past, a feature characteristic of real debates (especially early modern) involving induction in intellectual history. Given the evidence about past events, _unfiltered by induction_, meta-induction might support a partly non-inductive method—especially as judged by proponents of esoteric prediction methods, who presumably believe that their methods have worked. Thus induction is justified meta-inductively in contexts where it was uncontroversial, while not obviously justified in key contexts where it has been disputed. This objection, momentarily sensed by Reichenbach regarding clairvoyance, is borne out by the Stoics’ use of meta-induction to justify both science and divination and by ancient Hebrew examples of meta-induction. Schurz’s recently introduced criteria for acceptance of testimony play a crucial role in arriving at object-level induction using meta-induction, but one might question them. Given the need for judgment in accepting testimony, it is unclear that the subjectivity of Howson’s Bayesian answer to Hume’s problem is overcome. (shrink)

In the 1970s, R.D. MacElroy coined the term ‘extremophile’ to describe microorganisms that thrive under extreme conditions (MacElroy 1974). This hybrid word transliterates to ‘love of extremes’ and has been studied as a straightforward concept for the past 40 years. In this paper, we discuss several ways the term has been understood in the scientific literature, each of which has different consequences for the distribution and importance of extremophiles. They are, briefly, Human-Centric, at the Edge of life’s habitation of Morphospace, (...) by appeal to Statistical Rarity, described by Objective Limits, and at the Limits of Impossibility for metabolic processes. Importantly, these concepts have co-existed, unacknowledged and conflated, for decades. Confusion and equivocation threaten to follow from the wildly varied inclusion or exclusion of organisms as extremophiles depending on the concept used. Under some conceptions, entire kinds of extremophiles become meaningless. Since our understanding of how life works is shaped by what we take to be its extremes, clarifying extremophily is key for many large-scale projects in biology, ecology, biotechnology and astrobiology. In what follows, we proceed as if a noncontroversial account of life is possible and that it is possible to find complex chemistry in the Universe that is similar enough to Life on Earth such that both may be considered instances of ‘life’ (but see Mariscal & Doolittle 2018). We raise, but do not address, the questions of whether the distribution of Life on Earth is representative of what we may find elsewhere in the Universe, whether the same kinds of extremophiles would exist given a replay of the tape of life. Additionally, each of these concepts assumes life based on some sort of biochemistry in this universe, effectively setting aside claims made by some artificial life proponents that their digital organisms are genuine examples of life (Langton 1989, Ray 1995). On the distinction between extremophilic and extremotolerant, we note that all accounts accept the latter as a broader category than the former, since ‘phily’ means love and tolerance is a prerequisite for love under any conception. Indeed, there will be many extremely impoverished environments where tolerance is the only option and thriving is precluded, e.g. Bacillus marismortui was extracted and grown from 250-million-year-old salt crystals in the Permian Salado Formation in an inactive yet persistent state (Vreeland et al., 2000). We also note that extremophily, as a functional category, is potentially applicable at many levels of the biological hierarchy. Extremophily at one level does not necessarily extend to higher and lower levels. For instance, a microorganism in isolation might be quite intolerant to certain environmental conditions yet flourish when subjected to the same conditions as a community or natural biofilm. Alternatively, a protein molecule might be quite stable or active under certain conditions even if the optimal environment for the organism containing it is far more mesophilic. There is an industry of artificially selecting organisms and proteins to adapt to extreme environments (see van den Burg & Eijsink 2002), providing some justification to consider ‘functioning at extremes’ as a worthwhile category of investigation. Finally, we also note certain physico-chemical ranges are rarely considered with respect to extremophily – timespan, size, nutrient availability (Hoehler & Jørgensen 2013), etc. – as well as some biological parameters – abundance, isolation, competition, etc. Perhaps scientific interest must also come into play as to the reason these criteria are not considered relevant. We return to this issue later. In the next section, we give five definitions of extremophily, show their benefits, drawbacks, and unintended yet unavoidable consequences. These arguments are summarized in Table 1 and represented visually in Figures 1 and 2. Given research on polyextremophiles, it seems Figure 2 is a more plausible representation of the state of current knowledge than Figure 1 (Harrison et al. 2013). Life is patchily distributed across various dimensions, which may reflect its contingent history, poor sampling, or (perhaps) fundamental limits. Figure 3 shows the conceptual flowchart for all of these views. In the following section, we take a step back to ask whether we should choose between these definitions and how such a judgment could be made. We argue for a limited pluralism, in which some, but not all, of the concepts are acceptable relative to certain practical and theoretical aims. (shrink)

Indicators of the reliability of informants are essential for social learning in a society that is initially dominated by ignorance or superstition. Such reliability indicators should be based on meta-induction over records of truth-success. This is the major claim of this paper, and it is supported in two steps. One needs a non-circular justification of the method of meta-induction, as compared to other learning methods. An approach to this problem has been developed in earlier papers and is reported in (...) section 2. It is based on the predictive optimality of meta-inductive learning, under the assumption that objective success records are globally available. The rest of the paper develops an extension of this approach, so-called local meta-induction. Here individuals can access only success records of individuals in their immediate epistemic neighborhood. It is shown that local meta-inductive learning can spread reliable information over the entire population, and has clear advantages compared to success-independent social learning methods such as peer-imitation and authority-imitation.Send article to KindleTo send this article to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle. Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply. Find out more about the Kindle Personal Document Service.META-INDUCTION IN EPISTEMIC NETWORKS AND THE SOCIAL SPREAD OF KNOWLEDGEVolume 9, Issue 2Gerhard SchurzDOI: https://doi.org/10.1017/epi.2012.6Your Kindle email address Please provide your Kindle [email protected]@kindle.com Available formats PDF Please select a format to send. By using this service, you agree that you will only keep articles for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services. Please confirm that you accept the terms of use. Cancel Send ×Send article to Dropbox To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about sending content to Dropbox. META-INDUCTION IN EPISTEMIC NETWORKS AND THE SOCIAL SPREAD OF KNOWLEDGEVolume 9, Issue 2Gerhard SchurzDOI: https://doi.org/10.1017/epi.2012.6Available formats PDF Please select a format to send. By using this service, you agree that you will only keep articles for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services. Please confirm that you accept the terms of use. Cancel Send ×Send article to Google Drive To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about sending content to Google Drive. META-INDUCTION IN EPISTEMIC NETWORKS AND THE SOCIAL SPREAD OF KNOWLEDGEVolume 9, Issue 2Gerhard SchurzDOI: https://doi.org/10.1017/epi.2012.6Available formats PDF Please select a format to send. By using this service, you agree that you will only keep articles for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services. Please confirm that you accept the terms of use. Cancel Send ×Export citation Request permission. (shrink)

Epistemology aims to understand the concept of knowledge. To understand what knowledge is it is necessary to understand what justified belief is. This is not because justified belief is necessary for knowledge in every case; I consider cases of knowledge without justified belief later. But in most cases of knowledge, justified belief is necessary for knowledge. The concept or concepts of justification focus the interest of epistemologists. The other components of knowledge, which include at least true belief, are investigated (...) in general metaphysics and in philosophy of mind. Further, our only approach to truth in our beliefs is through justified believing. These considerations underscore the peculiarity of some recent developments in epistemology. Reflection on Gettier examples, examples of social factors influencing knowledge, and examples of discriminative capacities influencing knowledge have led some epistemologists to turn away from concepts of justification and toward concepts of reliability, discrimination among relevant alternatives, and optimal explanation. [...] I shall offer an account of knowledge, the multi-perspectival account, in which most any traditional concept of justification can be employed, but which relates justification to knowledge in a more illuminating way than a typical justified, true belief approach does... (shrink)