In this paper, we explore the literature on cognitive heuristics and biases in light of virtue epistemology, specifically highlighting the two major positions—agent-reliabilism and agent-responsibilism —as they apply to dual systems theories of cognition and the role of motivation in biases. We investigate under which conditions heuristics and biases might be characterized as vicious and conclude that a certain kind of intellectual arrogance can be attributed to an inappropriate reliance on Type 1, or the improper function of Type 2, (...) cognitive processes. By the same token, the proper intervention of Type 2 processes results in the virtuous functioning of our cognitive systems. Moreover, the role of motivation in attenuating cognitive biases and the cultivation of certain epistemic habits points to the tenets of agent-responsibilism.. (shrink)

Epistemological pluralism is a recognized feature of nursing knowledge, which embraces both objective, scientific knowledge and situated knowledge that include subjective experience, values and affect, and is encountered in relationship. While there is a lively literature about describing and validating the need for pluralism in nursing's knowledge base, there has been less discussion of how to work with and across different kinds of knowing that are used in practice. In this paper, I describe Kasulis’ heuristic framework for understanding more clearly (...) what is entailed in different kinds of knowledge, and what some of their advantages and disadvantages might be. The framework was created by Thomas Kasulis, an American scholar of Japanese philosophy who identified broad orientations in Asian and Western philosophies that he characterized as ‘intimacy’ and ‘integrity’, respectively. Kasulis emphasized that his framework is a heuristic, a tool for making distinctions more clearly between different styles of thinking, that can manifest not only between cultural traditions from different parts of the world, but also between subcultures within one of the dominant orientations. He breaks his two orientations down by five distinguishing categories of objectivity, relating, affect, embodiment and transparency. In this paper, each category is described and discussed in relation to aspects of nursing knowledge. Looking at different epistemological viewpoints in this way helps to clarify their differences, and to explain the difficulty of reading across them, when they entail basic assumptions that are not commensurable with each other. Kasulis’ framework offers a new way of reading across viewpoints commonly seen in the epistemological pluralism of nursing. It is a tool that can sharpen critical discernment about what is at stake, what can be gained, and what might get missed while operating in either the intimacy or integrity orientation. (shrink)

(1995). Heuristics, hypotheses, and social influence: A new approach to the experimental simulation of social epistemology. Social Epistemology: Vol. 9, Simulating Science, pp. 57-69.

Heuristics can be regarded as justifying the actions and beliefs of problem-solving agents. I use an analysis of heuristics to argue that a symbiotic relationship exists between traditional epistemology and contemporary artificial intelligence. On one hand, the study of models of problem-solving agents usingquantitative heuristics, for example computer programs, can reveal insight into the understanding of human patterns of epistemic justification by evaluating these models'' performance against human problem-solving. On the other hand,qualitative heuristics embody the justifying ability of defeasible (...) rules, the understanding of which is provided by traditional epistemology. (shrink)

According to the standard interpretation of Lewis’s theory of predicate meaning (the U&N theory), the naturalness of meaning candidates should be stated metaphysically - as a length of definition in terms of fundamental properties. Recently, Weatherson has criticized the U&N theory and argued that the criterion of naturalness should be stated epistemologically - as the amount of evidence needed to form a belief. Despite the criticism, his attitude towards the U&N theory is quite relaxed. According to Weatherson, the U&N theory (...) can be used as a good heuristic for delivering the correct verdicts when doing applied semantics, i.e., when we try to determine the best meaning candidate for a particular predicate. In this paper, I try to show that the “good heuristic strategy” is of no use because A) there is no guarantee that the epistemological and the metaphysical criteria of naturalness deliver the same verdicts and B) even if they deliver the same verdicts, the difference in their theoretical backgrounds may affect arguments which rely on the verdicts. The difference will be shown by drawing on the example of Theodore Sider and his use of the U&N theory. (shrink)

Hostile epistemology is the study of how environmental features exploit our cognitive vulnerabilities. I am particularly interested in those vulnerabilities arise from the basic character of our epistemic lives. We are finite beings with limited cognitive resources, perpetually forced to reasoning a rush. I focus on two sources of unavoidable vulnerability. First, we need to use cognitive shortcuts and heuristics to manage our limited time and attention. But hostile forces can always game the gap between the heuristic and the (...) ideal. Second, we need to trust others, and trust makes us vulnerable. In particular, we need to trust experts whose expertise lies beyond our individual ability to vet. So we must rely on various imperfect signals and proxies, like institutional affiliation, to manage our trust. We are forced to use these imperfect and exploitable forms of reasoning, in order to cope with a cognitively overwhelming world. I present the hostile epistemology framework as a counterbalance to vice epistemology, which tends to locate responsibility for bad beliefs in the character of the believer. I draw two conclusions from my analysis. First: suppose we accept that that only communities and institutions can know about the world. This deeply social approach doesn’t solve the problem of expert identification. The individual still faces a problem: given their incomplete understanding, how should the individual pick which group to trust? Second: we might have hoped to get some kind of static picture of the right principles of reasoning — but hostile epistemology presents a different picture. We have to use risky heuristics and shortcuts, which hostile forces can game and exploit. We can respond by shifting to a different set of heuristics, but this simply shifts the location of our vulnerabilities. These new heuristics are also exploitable. There is no end to this, only a constant struggle to adapt. Limited beings in a hostile epistemic environment are locked in an unending epistemic arms race. (shrink)

This paper evaluates the claim that it is possible to use nature’s variation in conjunction with retention and selection on the one hand, and the absence of ultimate groundedness of hypotheses generated by the human mind as it knows on the other hand, to discard the ascription of ultimate certainty to the rationality of human conjectures in the cognitive realm. This leads to an evaluation of the further assumption that successful hypotheses with specific applications, in other words heuristics, seem to (...) have a firm footing because they were useful in another context. I argue that usefulness evaluated through adaptation misconstrues the search for truth, and that it is possible to generate talk of randomness by neglecting aspects of a system’s insertion into a larger situation. The framing of the problem in terms of the elimination of unfit hypotheses is found to be unsatisfying. It is suggested that theories exist in a dimension where they can be kept alive rather than dying as phenotypes do. The proposal that the subconscious could suggest random variations is found to be a category mistake. A final appeal to phenomenology shows that this proposal is orphan in the history of epistemology, not in virtue of its being a remarkable find, but rather because it is ill-conceived. (shrink)

Is the ubiquity of contemporary popular music akin to a deliberate aggression to the hearing, making the listening experience devoid of any sense? If so, is there any strategy to morph this supposed confusion into meaningful stimuli? Relying on epistemology, we attempt at promoting the act of listening as a proper way of world-making and refer to Mark Reybrouck, Bruno Nettl, Steven Brown and Joseph Jordania—among others—to gather appropriate heuristic tools. In the last part of the essay, we advance (...) the concept of timbral quotation as an additional means to grasp meaningful cues in the timbrical richness of contemporary popular compositions. We shall sustain the particular fitness of this tool especially with regard to nowadays’ Western popular music, more and more timbre-centered rather than harmony-centered. (shrink)

The paper focuses on the philosophical challenges of governance over trustless ledgers, namely Bitcoin Layer 2 solutions in El Salvador. Blockchain adoption in El Salvador is an example of policy based on a ‘frontier epistemology’ (Nickles 2009 ), creating a situation where “facts are uncertain, values are in dispute, stakes are high, and decisions are urgent” (Funtowicz and Ravetz 1993 ). Trustless ledgers play a role of such ‘frontiers’ of knowledge and governance that support a variety of technocratic, heuristic, (...) and experimental policy approaches. They challenge the traditional knowledge frameworks and governance processes responsible for attempts to embed (align) predetermined ideologies (values and stakes) into the technology over standards. Instead, as amalgams of social, political, legal, and economic interventions, ledgers function simultaneously as a contract, a monetary system, a political value commitment, and a governance structure. By integrating facts, values, and stakes into algorithms, they define the frontiers of epistemology and governance in two opposing ways. On the one hand, trustless ledgers embody Augustine’s Civitas Dei (the City of God) as a new design (novum consilium) that promises a future world (futurum saeculum) (Augustine 1968 ). With a promise of a system, where everyone is ‘free’ to not being able to ‘sin’ (non posse peccare - delet the res non peccare), social agency is reduced to a code of a trustless infrastructure. On the other hand, ledgers support experimental (Sabel and Zeitlin 2012 ) and heuristic policymaking (Nickles 2009 ) that saves social agency and cuts ‘through traditional discovery/justification and descriptive/ normative distinctions’ (Nickles 2009 ). The distributed ledgers as governance experiments then redefine Civitas Terrena’s governance as a challenge of ‘heuristic appraisal’ (Nickles 2009 ), ‘directly deliberative polyarchy’ (Cohen and Sabel 1997 ), and ‘experimentalist governance’ (Sabel and Zeitlin 2012 ). To elaborate on the blockchain governance experiments, we will use two Bitcoin initiatives in El Salvador (Bitcoin City and Bitcoin Beach) and discuss them in the context of a broader adoption of blockchain in South America. (shrink)

I analyze the epistemic strategies used by paleontologists (between 1830–1930) to reconstruct features of ancient organisms from fossilized bodies and footprints by presenting two heuristics: (1) a “claim of harmony” which posits the harmonious interaction of natural objects in order for complex systems to be simplified and (2) the “kintsugi heuristic” which is used inter-theoretically to explore new claims of harmony. I apply these to three successive historical cases: Georges Cuvier’s laws of correlation, the panpsychist paleontology of Edward Drinker Cope, (...) and the single-character approach of Henry Fairfield Osborn. (shrink)

Despite the increasing recognition that heuristics may be involved in myriad scientific activities, much about how to use them prudently remains obscure. As typically defined, heuristics are efficient rules or procedures for converting complex problems into simpler ones. But this increased efficiency and problem-solving power comes at the cost of a systematic bias. As Wimsatt showed, biased modelling heuristics can conceal errors, leading to poor decisions or inaccurate models. This liability to produce errors presents a fundamental challenge to the philosophical (...) value of heuristic analyses. Heuristics may be powerful and efficient procedures, but their practical value for science and epistemology is significantly mitigated if we do not have a principled methodology for knowing how to use them wisely. In this essay, I extend Wimsatt’s analyses to argue that this challenge for a heuristic methodology can be met by appealing to second-order, or meta-, heuristics—that is, practical guidelines that prescribe the appropriate conditions for a first-order heuristic’s use. 1 Introduction2 Background3 Heuristics and Meta-heuristics4 A Hierarchical Model and Three Applications4.1 Decision making in emergency medicine4.2 Mathematical explanation in physics4.3 Resilience in ecological management5 Conclusion. (shrink)

: Psychological explanations of philosophical intuitions can help us assess their evidentiary value, and our warrant for accepting them. To explain and assess conceptual or classificatory intuitions about specific situations, some philosophers have suggested explanations which invoke heuristic rules proposed by cognitive psychologists. The present paper extends this approach of intuition assessment by heuristics-based explanation, in two ways: It motivates the proposal of a new heuristic, and shows that this metaphor heuristic helps explain important but neglected intuitions: general factual intuitions (...) which have been highly influential in the philosophies of mind and perception but neglected in on-going debates in the epistemology of philosophy. To do so, the paper integrates results from three philosophically pertinent but hitherto largely unconnected strands of psychological research: research on intuitive judgement, analogy and metaphor, and memory-based processing, respectively. The paper shows that the heuristics-based explanation thus obtained satisfies the key requirements cognitive psychologists impose on such explanations, that it can explain the philosophical intuitions targeted, and that this explanation supports normative assessment of the intuitions' evidentiary value: It reveals whether particular intuitions are due to proper exercise of cognitive competencies or constitute cognitive illusions. (shrink)

After a few general observations on scientific activity, the author briefly comments on different versions of naturalism. Subsequently, he suggests that the birth of evolutionary biology and its successive developments may show how the natural world comes to be differently conceived as scientific advancements are accomplished. Then the main thesis is outlined by introducing the principles of a heuristic science-based naturalism not conclusively defining the real and the knowable. From the epistemological perspective, heuristic naturalism is meant to be framed in (...) critical realism, whereas from the ontological standpoint it may be framed in emergent monism, given that the latter can also underpin recent trends in investigation addressing human specificity. Finally, attention is turned to some implications of heuristically guided scientific activity with regard to the issues of divine action and of imago Dei. (shrink)

This article argues that heuristics play a key role in philosophy, in generating both our verdicts on proposed counterexamples to philosophical theories and philosophical paradoxes. Heuristics are efficient ways of answering questions, quick and easy to use, but imperfectly reliable. They have been studied by psychologists and cognitive scientists such as Gigerenzer and Kahneman, but their relevance to philosophical methodology has not been properly recognized. Several heuristics are discussed at length. Thepersistence heuristiccan be summarized in the slogan ‘Small changes don’t (...) matter’. Without it, updating would present an intractable problem for both natural and artificial intelligence. But our reliance on the persistence heuristic also makes us vulnerable to paradoxes of vagueness.Disquotational heuristicsof various kinds are considered. They play central roles in our ascriptions of truth, falsity, and belief, but they also generate semantic paradoxes such as the Liar and Frege puzzles about coreference. The use of an additive heuristic for combining reasons is also discussed. Our reliance on fallible heuristics in philosophy does not make philosophical knowledge impossible, just as our reliance on fallible heuristics in perception does not make perceptual knowledge impossible. Nevertheless, it should motivate us to take a more critical attitude to our data. By identifying and analyzing the heuristics on which we rely, we may be able to work out where they make us most vulnerable to error. (shrink)

In the first half of this dissertation, I develop a heuristic methodology for analyzing scientific solutions to the problem of underdetermination. Heuristics are rough-and-ready procedures used by scientists to construct models, design experiments, interpret evidence, etc. But as powerful as they are, heuristics are also error-prone. Therefore, I argue that they key to prudently using a heuristic is the articulation of meta-heuristics---guidelines to the kinds of problems for which a heuristic is well- or ill-suited. Given that heuristics will introduce certain (...) errors into our scientific investigations, I emphasize the importance of a particular category of meta-heuristics involving the search for robust evidence. Robustness is understood to be the epistemic virtue bestowed by agreement amongst multiple modes of determination. The more modes we have at our disposal, and the more these confirm the same result, the more confident can we be that a result is not a mere artifact of some heuristic simplification. Through an analysis of case-studies in the philosophy of biology and clinical trials, I develop a principled method for modeling and evaluating heuristics and robustness claims in a qualitative problem space. The second half of the dissertation deploys the heuristic methodology to address ethical and epistemological issues in the science of clinical trials. To that end, I develop a network model for the problem space of clinical research, capable of representing the various kinds of experiments, epistemic relationships, and ethical justifications intrinsic to the domain. I then apply this model to ongoing research with the antibacterial agent, moxifloxacin, for the treatment of tuberculosis, tracking its development from initially successful and promising in vitro and animal studies to its disappointing and discordant performance across five human efficacy trials. Given this failure to find a robust result with moxifloxacin across animal and human studies, what should researchers now do? While my final analysis of this case does not definitively answer that question, I demonstrate how my methodology, unlike a statistical meta-analysis, helps to clarify the directions for further research. (shrink)

Based on a rather simple thesis that we can learn from our mistakes, Karl Popper developed a falsificationist epistemology in which knowledge grows through falsifying, or criticizing, our theories. According to him, knowledge, especially scientific knowledge, progresses through conjectures that are controlled by criticism, or attempted refutations . As he puts it, ‘Criticism of our conjectures is of decisive importance: by bringing out our mistakes it makes us understand the difficulties of the problem which we are trying to solve. (...) This is how we become better acquainted with our problem, and able to propose more mature solutions: the very refutation of a theory ... is always a step forward that takes us nearer to the truth. And this is how we can learn from our mistakes’ . Since criticism plays such a crucial role in Popper's falsificationist methodology, it seems natural to envisage his heuristic as a helpful resource for developing critical thinking. However, there is much controversy in the psychological literature over the feasibility and utility of his falsificationism as a heuristic. In this paper, I first consider Popper's falsificationism within the framework of his critical rationalism, elucidating three core and interrelated concepts, viz. fallibilism, criticism, and verisimilitude. Then I argue that the implementation of Popper's falsificationism means exposing to criticism various philosophical presuppositions that work against criticism, such as essentialism, instrumentalism, and conventionalism; it also means combating what seems a common tendency of humans to be biased towards confirmation. I examine the confirmation bias, to which Popper did not give much attention: its pervasiveness and various guises, some theoretical explanations for it, and the role of teachers in undermining its strength and spread. Finally, I consider the question whether students can and should be taught to use disconfirmatory strategies for solving problems. (shrink)

There is a large literature on social epistemology, some of which is concerned with expert knowledge. Formal representations of the aggregation of decisions, estimates, and the like play a larger role in these discussions. Yet these discussions are neither sufficiently social nor epistemic. The assumptions minimize the role of knowledge, and often assume independence between observers. This paper presents a more naturalistic approach, which appeals to a model of epistemic gain from others, as mutual consilience—a genuinely social notion of (...) epistemology. Using the example of Michael Polanyi’s account of science as an illustration, it introduces the notion of double heuristics: that individuals, each with their own heuristics, each with cognitive biases and limitations, are aggregated by a decision procedure, like voting, and this second order procedure produces its own heuristic, with its own cognitive biases and limitations. An example might be the limited ability of democracies to assimilate expert knowledge. (shrink)

We argue that the interaction of biased media coverage and widespread employment of the recognition heuristic can produce epistemic injustices. First, we explain the recognition heuristic as studied by Gerd Gigerenzer and colleagues, highlighting how some of its components are largely external to, and outside the control of, the cognitive agent. We then connect the recognition heuristic with recent work on the hypotheses of embedded, extended, and scaffolded cognition, arguing that the recognition heuristic is best understood as an instance of (...) scaffolded cognition. In section three, we consider the double-edged sword of cognitive scaffolding. On the one hand, scaffolds can reduce the internal processing demands on cognitive agents while increasing their access to information. On the other hand, the use of scaffolding leaves cognitive agents increasingly vulnerable to forming false beliefs or failing to form beliefs at all about particular topics. With respect to the recognition heuristic, agents rely on third parties (such as the media) to report not just what’s true but also what’s important or valuable. This makes cognitive agents relying on these third parties vulnerable to two erroneous influences: 1) because they don’t recognize something, it isn’t important or valuable, and 2) because they do recognize something, it is important or valuable. Call the latter the Kardashian Inference and the former the Darfur Inference. In section four, we use Fricker’s (2007) concept of epistemic injustice to characterize the nature and harm of these false inferences, with special emphasis on the Darfur Inference. In section five, we use data-mining and an empirical study to show how Gigerenzer’s population estimation task is liable to produce Darfur Inferences. We conclude with some speculative remarks on more important Darfur Inferences, and how to avoid them by scaffolding better. One primary way to accomplish this it to shift the burden of embodying the virtue of epistemic justice from the hearer or consumer of media to the media themselves. (shrink)

On Folk Epistemology explores how we ascribe knowledge to ourselves and others. Empirical evidence suggests that we do so early and often in thought as well as in talk. Since knowledge ascriptions are central to how we navigate social life, it is important to understand our basis for making them. -/- A central claim of the book is that factors that have nothing to do with knowledge may lead to systematic mistakes in everyday ascriptions of knowledge. These mistakes are (...) explained by an empirically informed account of how ordinary knowledge ascriptions are the product of cognitive heuristics that are associated with biases. In developing this account, Mikkel Gerken presents work in cognitive psychology and pragmatics, while also contributing to epistemology. For example, Gerken develops positive epistemic norms of action and assertion and moreover, critically assesses contextualism, knowledge-first methodology, pragmatic encroachment theories and more. Many of these approaches are argued to overestimate the epistemological significance of folk epistemology. In contrast, this volume develops an equilibristic methodology according to which intuitive judgments about knowledge cannot straightforwardly play a role as data for epistemological theorizing. Rather, critical epistemological theorizing is required to interpret empirical findings. Consequently, On Folk Epistemology helps to lay the foundation for an emerging sub-field that intersects philosophy and the cognitive sciences: The empirical study of folk epistemology. (shrink)

A heuristic is a rule of thumb. In psychology, heuristics are relatively simple rules for making judgments. A fast heuristic is easy to use and allows one to make judgments quickly. A frugal heuristic relies on a small fraction of the available evidence in making judgments. Typically, fast and frugal heuristics (FFHs) have, or are claimed to have, a further property: They are very reliable, yielding judgments that are about as accurate in the long run as ideal non-fast, non-frugal rules. (...) This paper introduces some well-known examples of FFHs, raises some objections to the FFH program, and looks at the implications of those parts of the FFH program about which we can have some reasonable degree of confidence. (shrink)

If A confirms H and B confirms H, it seems reasonable to infer that A&B confirms H. However, this inference is not valid; it is only a heuristic. I show that the level of confirmation A and B each give to H by itself implies nothing about the level of confirmation that A&B gives to H. Any combination of values is possible for P(H), P(H|A), P(H|B) and P(H|AB) is possible. Still, I show the heuristic leads from true premises to true (...) conclusions whenever A and B are statistically independent or correlated,which includes most situations where we evaluate evidence. There is risk, though, when one does not consider how A and B interact; one can miss anti-correlations that lead the heuristic to fail. The problem is exacerbated when groups of people are motivated to support a favored hypothesis. Each person finds evidence that confirms the hypothesis and contributes that evidence to the group’s discourse (e.g. through a climate change denial website). The temptation to focus solely on the number of individual pieces of evidence can lead people to ignore whether the evidence fits together. In combination with cognitive biases, this can lead to serious errors. (shrink)

This book explores new findings on the long-neglected topic of theory construction and discovery, and challenges the orthodox, current division of scientific development into discrete stages: the stage of generation of new hypotheses; the stage of collection of relevant data; the stage of justification of possible theories; and the final stage of selection from among equally confirmed theories. The chapters, written by leading researchers, offer an interdisciplinary perspective on various aspects of the processes by which theories rationally should, and descriptively (...) are, built. They address issues such as the role of problem-solving and heuristic reasoning in theory-building; how inferences and models shape the pursuit of scientific knowledge; the relation between problem-solving and scientific discovery; the relative values of the syntactic, semantic, and pragmatic view of theories in understanding theory construction; and the relation between ampliative inferences, heuristic reasoning, and models as a means for building new theories and knowledge. Through detailed arguments and examinations, the volume collectively challenges the orthodox view’s main tenets by characterizing the ways in which the different “stages” are logically, temporally, and psychologically intertwined. As a group, the chapters provide several attempts to answer long-standing questions about the possibility of a unified conceptual framework for building theories and formulating hypotheses. (shrink)

In response to the COVID‐19 pandemic philosophers and governments have proposed scarce resource allocation guidelines. Their purpose is to advise healthcare professionals on how to ethically allocate scarce medical resources. One challenging feature of the pandemic has been the large numbers of patients needing mechanical ventilatory support. Guidelines have paradigmatically focused on the question of what doctors should do if they have fewer ventilators than patients who need respiratory support: which patient should get the ventilator? There is, however, an important (...) higher level allocation problem. Namely, how are we to ethically distribute newly obtained ventilators across hospitals: which hospital should get the ventilator(s)? In this paper, we identify a set of principles for allocating newly obtained ventilators across hospitals. We focus particularly on low and middle income countries, who frequently have limited pre‐existing intensive care capacity, and have needed to source additional ventilators. We first provide some background. Second, we argue that the main population healthcare aim during the COVID‐19 pandemic should be to save the most lives. Next, we assess a series of potential heuristics or principles that could be used to guide allocation: allocation to the most densely populated cities, random allocation, allocation based on the ratio of patients to ICU personnel, prioritisation in terms of intrahospital mortality, prioritisation of younger populations, and prioritisation in terms of population mortality. We conclude by providing a plausible ranking of the principles, while noting a number of epistemological challenges, in terms of how they best further the aim of increasing the probability of saving the most lives. (shrink)

Approaching science by considering the epistemological virtues which scientists see as constitutive of good science, and the way these virtues trade-off against one another, makes it possible to capture action that may be lost by approaches which focus on either the theoretical or institutional level. Following Wimsatt (1984) I use the notion of heuristics and biases to help explore a case study from the history of biology. Early in the 20th century, mutation theorists and natural historians fought over the role (...) that isolation plays in evolution. This debate was principally about whether replication was the central scientific virtue (and hence the ultimate goal of science to replace non-experimental evidence with experimental evidence) or whether consilience of inductions was the central virtue (and hence, as many kinds of evidence as possible should be pursued). (shrink)

This monograph addresses the question of the increasing irrelevance of philosophy, which has seen scientists as well as philosophers concluding that philosophy is dead and has dissolved into the sciences. It seeks to answer the question of whether or not philosophy can still be fruitful and what kind of philosophy can be such. The author argues that from its very beginning philosophy has focused on knowledge and methods for acquiring knowledge. This view, however, has generally been abandoned in the last (...) century with the belief that, unlike the sciences, philosophy makes no observations or experiments and requires only thought. Thus, in order for philosophy to once again be relevant, it needs to return to its roots and focus on knowledge as well as methods for acquiring knowledge. Accordingly, this book deals with several questions about knowledge that are essential to this view of philosophy, including mathematical knowledge. Coverage examines such issues as the nature of knowledge; plausibility and common sense; knowledge as problem solving; modeling scientific knowledge; mathematical objects, definitions, diagrams; mathematics and reality; and more. This monograph presents a new approach to philosophy, epistemology, and the philosophy of mathematics. It will appeal to graduate students and researchers with interests in the role of knowledge, the analytic method, models of science, and mathematics and reality. (shrink)

Sensitivity-type principles are prominent in epistemology. They have the promise to explain our intuitive and considered reactions to a wide range of important cases in everyday life, science and philosophy. Despite this promise, philosophers have raised a number of very serious objections to the principles. Accordingly, I propose a different type of sensitivity account which, I believe, gets around these serious objections. An important feature of the new approach is that the principle I propose need not be true. Rather, (...) it should be understood as a cognitive heuristic that tells us when something is not known—a type of doubt. A second feature is that the principle does not care about what one’s belief would be like in counter-factual situations. Instead, it cares about what the bases or causes for the belief would be like in those situations. (shrink)

We discuss two philosophical explanations of the epistemic side-effect effect: the doxastic heuristic account (Alfano et al. The Monist 95 (2): 264–289, 2012) and the consequence account (Paprzycka-Hausman Synthese 197: 5457–5490, 2020). We argue that the doxastic heuristic account has problems with explaining knowledge attributions in cases where the probability that the side effect will occur is low and where the side effect does not ultimately occur. It can explain why there is a difference between the harm and the help (...) cases but it cannot explain why people are willing to attribute knowledge in the harm cases. Such attributions can be explained on the consequence account, which takes knowledge attributions in norm-violation cases to be due to the increased salience of a consequence-awareness claim (knowledge that a possible consequence of the chairman’s action is that the environment would be harmed). We report the results of a new study that tests the predictions of both accounts. In some conditions, people attribute knowledge of the side effect even in cases where the chairman does not have the relevant belief. This result directly contradicts the central tenet of the doxastic heuristic account. Linear regression models of knowledge attribution that correspond to the two accounts were compared. The addition of different justification options significantly contributes to the predictive power of the statistical model. The consequence account can explain the pattern of justifications better than the doxastic heuristic account. Our findings support the consequence account and pose a challenge to the proponents of the doxastic heuristic account. (shrink)

Feminist philosophers have discussed the prospects for assessing values empirically, particularly given the ongoing threat of sexism and other oppressive values influencing science and society. Some advocates of such tests now champion a “values as evidence” approach, and they criticize Helen Longino’s contextual empiricism for not holding values to the same level of empirical scrutiny as other claims. In this paper, we defend contextual empiricism by arguing that many of these criticisms are based on mischaracterizations of Longino’s position, overstatements of (...) certain claims, and false dichotomies. Her contextual empiricism not only allows for the empirical support and disconfirmation of values, but Longino explicitly discusses when values can be empirically adjudicated and emphasizes the crucial role of the community for standards of evidence. We support contextual empiricism and elaborate a less direct account of “values as heuristics” by reviewing Longino’s theory of evidence and then using a case study from Elisabeth Lloyd on the biology of female orgasm, demonstrating the disconfirmation of androcentric values in evolutionary science. Within Longino’s and Lloyd’s contextual empiricism, values do not get treated as empirical evidence to be directly assessed by individuals, but rather values are heuristic tools to build models whose use can be validated or invalidated by communities based on their empirical fruitfulness in the logic and pragmatics of research questions in specific historical and cultural contexts. (shrink)

Economic competitive advantage depends on innovation, which in turn requires pushing back the frontiers of various kinds of knowledge. Although understanding how knowledge grows ought to be a central topic of epistemology, epistemologists and philosophers of science have given it insufficient attention, even deliberately shunning the topic. Traditional confirmation theory and general epistemology offer little help at the frontier, because they are mostly retrospective rather than prospective. Nor have philosophers been highly visible in the science and technology policy (...) realm, despite philosophy’s being a normative discipline. This paper suggests a way to address both deficits. Creative scientists, technologists, business managers, and policy makers face similar problems of decision-making at their respective frontiers of knowledge. These areas should therefore be fertile ground for both epistemologists and philosophers concerned with policy. Here I call attention to the importance of heuristic appraisal for “frontier epistemology” and to policy formation. Evaluation of the comparative promise or expected fertility of available options comprises a cluster of activities that cut across traditional discovery/justification and descriptive/normative distinctions. The study of weak modes of reasoning and evaluation is especially relevant to socio-economic policy. (shrink)

Starting from an overview of approaches to naturalized epistemology, the paper shows, firstly, that Quine's programme yields a sceptical paradox. This means that Quine's attempt to defeat scepticism itself yields a rather strong argument for scepticism and thus against his own programme of naturalized epistemology. Secondly, it is shown that this paradox can be solved by an approach called reflexive-heuristic naturalism. Finally, the paper also raises some fundamental problems which the solution proposed has to leave open.

In his debates with Daniel Kahneman and Amos Tversky, Gerd Gigerenzer puts forward a stricter standard for the proper representation of judgment heuristics. I argue that Gigerenzer’s stricter standard contributes to naturalized epistemology in two ways. First, Gigerenzer’s standard can be used to winnow away cognitive processes that are inappropriately characterized and should not be used in the epistemic evaluation of belief. Second, Gigerenzer’s critique helps to recast the generality problem in naturalized epistemology and cognitive psychology as the (...) methodological problem of identifying criteria for the appropriate specification and characterization of cognitive processes in psychological explanations. I conclude that naturalized epistemologists seeking to address the generality problem should turn their focus to methodological questions about the proper characterization of cognitive processes for the purposes of psychological explanation. (shrink)

My first aim in this article is to describe the origin of the notion of culture of knowledge due to the research activities carried out at the University of Frankfurt by the Research Group Culture of Knowledge and Social Change since 1999. In this context we examined the relation between knowledge and society and proposed the notion of culture of knowledge as a key-concept to emphasize that knowledge does always appear in a specific historical form, and can be investigated only (...) as a social practice. This key-concept turned out to be a helpful heuristic construct and had therefore a widespread diffusion as a general and extremely flexible category which can shed light on mutual relations between knowledge and culture in several historical contexts. Secondly, I will compare the approach taken in the culture of knowledge with other contextualist approaches of contemporary research areas like History of Science and Theory of Culture to show that it is particularly helpful in terms of connecting different fields. Finally, I will drive attention to a basic question concerning the approach of theculture of knowledge which remains still unanswered. The Frankfurter Research Group considered it as a model of knowledge alternative to all those positions in History of Science and Theory of Culture that assume the universal, trans-historical, and trans-cultural validity of fundamental forms of knowledge and cognitive abilities. I will discuss whether and to what extent these positions are really alternative, and for this purpose I will focus on a central point: whether the thesis of a radical historicity of knowledge undermines the very idea of universal rationality and to what extent. (shrink)

This chapter attempts to consolidate some of the lessons of Ameliorative Psychology with some handy heuristics and illustrative injunctions. It explores the empirical research that shows how to enhance the accuracy of diagnostic reasoning, reduce overconfidence, avoid the regression fallacy, improve policy assessments, and restrain the unbridled story-telling surrounding rare or unusual events. For problems tractable to voluntary reasoning strategies, the simple strategies recommended in the chapter can improve reasoning at low cost and high fidelity.

In this essay, I argue that Ted Poston's theory of explanatory coherentism is well-suited as a tool for causal explanation in the health sciences, particularly in epidemiology. Coherence has not only played a role in epidemiology for more than half a century as one of Hill's viewpoints, it can also provide background theory for the development of explanatory systems by integrating epidemiologic evidence with a diversity of other error-independent data. I propose that computational formalization of Hill's viewpoints in an explanatory (...) coherentist framework would provide an excellent starting point for a formal epistemological (knowledge-theoretical) project designed to improve causal explanation in the health sciences. As an example, I briefly introduce Paul Thagard's ECHO system and offer my responses to possible objections to my proposal. (shrink)

This article attempts to comprehend the problem within the methodology of science. The authors compare the concepts of creativity and heuristics and suggest a semantic differentiation between them, and also offer their own viewpoint on the main types of activity corresponding to these concepts. The problem of creativity is associated with the characteristics that a person must have in order to solve tasks and problems. The authors consider the relationship between the problem and the task, as well as some major (...) techniques to tackle them. Here they substantiate the idea of a wider adaptation of randomization as a special tactic, that is, going beyond the narrow framework of mathematical statistics and empirical research. In this context, the authors introduce the notion of “epistemological randomization”, designed to denote the following of open rationality without abandoning the rational way of solving scientific problems. This technique is viewed as a phenomenon related to the counterfactual thinking. The last part of the article proposes a typology of personalities as problem and task solvers – adaptive, heuristic and creative personalities. It is assumed that the “heuristic” personality aims to complete tasks, which, unlike problems, have a final solution, while the “creative” personality aims to expand the problem field. The latter type is characterized as capable and inclined to use the “epistemological randomization”, the techniques of lateral thinking and other techniques that suggest several methods of solving problems and tasks at once. (shrink)

SummaryCertain revolutionary changes in medicine—measurement, chemistry, genetics—have led to recasting both the criteriology and the conceptualization of the terms of discourse. But advances along this path rest no longer on naive observation but intimately and inextricably involve modeling, that is, a system of inference which derives no immediate warrant from the primordial data of the senses. This system is not totally new in quality, since all “fact” involves interpretation of data; nor is it entirely new in having heuristic value in (...) unearthing, or calling attention to, unsuspected evidence. But it differs in two major respects. First, it requires patterns of surmise which can no longer be immediately corroborated at all stages by naive means but rest more and more on internal theoretical consistency and confirmatory predictions to be verified by other sophisticated and indirect means. Second, it is leading to fundamental upheavals in even the broad perception of human biology, undermining well-established groupings and exposing certain classical fields of inquiry as meaningless. The problem yet to be confronted in this field is how an epistemology of the model (in this sense) is to be constructed. The model is useless (as the whole scientific endeavor is useless) if it has not a more economical structure than the totality of the raw data, even if the success of this economy is in some degree factitious (“robustness”). On the other hand, the model is also useless unless it has heuristic value and helps in adjudicating among competing interpretations (“power”). A good model will help also to distinguish relevant aspects of the data from the irrelevancies ascribed to error. The paradigmatic function of the model, then, defines certain “sufficient statistics” which condense the relevant features of the data. In fact a close analogy can be developed between the methodology of statistical inference and nosology. Both are necessarily tentative, and healthy development of both, in practice, is iterative; that is, the evidence and the model are mutually correcting and lead to advancement one of another. (shrink)

We discuss the role of linguistic metaphors as a cognitive frame for the understanding of genetic information processing. The essential similarity between language and genetic information processing has been recognized since the very beginning, and many prominent scholars have noted the possibility of considering genes and genomes as texts or languages. Most of the core terms in molecular biology are based on linguistic metaphors. The processing of genetic information is understood as some operations on text – writing, reading and editing (...) and their specification (encoding/decoding, proofreading, transcription, translation, reading frame). The concept of gene reading can be traced from the archaic idea of the equation of Life and Nature with the Book. Thus, the genetics itself can be metaphorically represented as some operations on text (deciphering, understanding, codebreaking, transcribing, editing, etc.), which are performed by scientists. At the same time linguistic metaphors portrayed gene entities also as having the ability of reading. In the case of such “bio-reading” some essential features similar to the processes of human reading can be revealed: this is an ability to identify the biochemical sequences based on their function in an abstract system and distinguish between type and its contextual tokens of the same type. Metaphors seem to be an effective instrument for representation, as they make possible a two-dimensional description: biochemical by its experimental empirical results and textual according to the cognitive models of comprehension. In addition to their heuristic value, linguistic metaphors are based on the essential characteristics of genetic information derived from its dual nature: biochemical by its substance, textual (or quasitextual) by its formal organization. It can be concluded that linguistic metaphors denoting biochemical objects and processes seem to be a method of description and explanation of these heterogeneous properties. (shrink)

How do we get new knowledge? Following the maverick tradition in the philosophy of science, Carlo Cellucci gradually came to the conclusion that logic can only fulfill its role in mathematics, science and philosophy if it helps us to answer this question. He argues that mathematical logic is inadequate and that we need a new logic, framed in a naturalistic conception of knowledge and philosophy - the heuristic conception. This path from logic to a naturalistic conception of knowledge and philosophy (...) explains the title, From a Heuristic Point of View, which recalls the celebrated collection of essays, From a Logical Point of View, by Willard Van Orman Quine, the father of modern naturalized epistemology. The word 'heuristic' points to Cellucci's favorite theme and the main difference between him and Quine: the emphasis on discovery and building a 'logic' for generating new knowledge. This book is a collection of essays from leading figures in this field who discuss, criticize, or expand on the main topics in Cellucci's work, dealing with some of the most challenging questions in logic, science and philosophy. (shrink)

This article examines the connections among heuristics, the epistemological and ontological presuppositions that underlie theorizing, and substantive explanations in sociology. It develops and contrasts three heuristics: “doing as knowing” (DK), “categorizing as knowing” (CK), and “praxis as knowing” (PK). These are each composed of four dimensions: the theory of knowledge, the theory of reality, the theory of the growth of knowledge, and the theory of knowledge producers. The article then shows the importance of heuristics for empirical work by demonstrating how (...) they shape explanations in the sociological subfield of the historical sociology of knowledge. The essay draws two main conclusions: it argues that PK offers a more useful basis for developing explanations in sociology than either of the two alternatives (DK and CK) that currently shape substantive work; furthermore, it claims that the exposition of heuristic assumptions is an important task for sociology. (shrink)

This paper considers a central objection to evolutionary epistemology. The objection is that biological and epistemic development are not analogous, since while biological variation is blind, epistemic variation is not. The generation of hypotheses, unlike the generation of genotypes, is not random. We argue that this objection is misguided and show how the central analogy of evolutionary epistemology can be preserved. The core of our reply is that much epistemic variation is indeed directed by heuristics, but these heuristics (...) are analogous to biological preadaptations which account for the evolution of complex organs. We also argue that many of these heuristics or epistemic preadaptations are not innate but were themselves generatedby a process of blind variation and selective retention. (shrink)

This title was first published in 2002. This book builds on contemporary discussion of 'mysticism' and religious experience by examining the process and content of 'religious knowing' in classical and modern Advaita. Drawing from the work of William Alston and Alvin Plantinga, Thomas Forsthoefel examines key streams of Advaita with special reference to the conditions, contexts, and scope of epistemic merit in religious experience. Forsthoefel uniquely employs specific analytical categories of contemporary Western epistemologies as heuristics to examine the cognitive dimension (...) of religious experience in Indian Vedanta. Showing the developing nuances in the analysis of religious experience in the thought of Shankara and his immediate disciples (Suresvara and Padmapada) as well as in the teaching of Ramana Maharshi, an understudied but important South Indian saint of the 20th century, this book offers a substantial contribution to studies of Indian philosophy as well as to contemporary philosophy of religion. Using the tools of exegesis and comparative philosophy, Forsthoefel argues for a careful justification of claims following religious experience, even if such claims involve, as they do in the Advaita, a paradoxical 'knowing beyond knowledge'. (shrink)

Frege puzzles exploit cognitive differences between co-referential terms. Traditionally, they were handled by some version of Frege’s distinction between sense and reference, which avoided disruptive consequences for epistemology. However, the Fregean programme did not live up to its original promise, and was undermined by the development of theories of direct reference; for semantic purposes, its prospects now look dim. In particular, well-known analogues of Frege puzzles concern pairs of uncontentious synonyms; attempts to deal with them by distinguishing idiolects or (...) postulating ‘narrow contents’ or elaborate forms of context-sensitivity are inadequate or semantically implausible. Although ascriptions of knowledge, belief, and other attitudes are ubiquitous in epistemology, epistemologists have not properly come to terms with the surprising consequences of anti-Fregean semantic accounts of attitude ascriptions. In ‘A Puzzle about Belief ’, Saul Kripke shows that natural-seeming disquotational principles for ascribing belief lead to apparently unacceptable consequences, including outright contradictions, in problem cases. Such disquotation principles, I argue, are best regarded not as conceptual connections but just as heuristics in the psychological sense, quick and easy ways of assessing belief ascriptions, usually accurate under normal conditions but far from 100% reliable. I discuss similar heuristics for ascribing knowledge and other attitudes. That the principles have a merely heuristic status need not be pre-theoretically manifest to their users. This view vindicates Kripke’s conclusion that it would be wrong-headed to draw semantic conclusions from Frege puzzles. I discuss the epistemological consequences of an anti-Fregean approach to Frege puzzles, including for Kripke’s cases of the contingent a priori and the necessary a posteriori, but also for evidence, for epistemic modalities, and for epistemic and subjective conceptions of probability. Anna Mahtani’s recent identification of Frege puzzles for the ex ante Pareto Principle as used in welfare economics provides an interesting example. I suggest a model-building methodology as the most promising way of handling at least some of the difficulties. A final issue is the choice between different anti-Fregean approaches to semantics, from very coarse-grained intensional approaches on which sentences express functions from possible worlds to truth-values to more fine-grained hyperintensional approaches on which sentences express functions from possible or impossible worlds to truth-values or else Russellian structured propositions. Some of the hyperintensional theories violate semantic compositionality. More generally, since our attitude ascriptions rely on heuristics, they should be expected to exhibit some level of error; although hyperintensional approaches may be able slightly to reduce the level of postulated error, they do so at the cost of vastly increased theoretical complexity, and so have weak explanatory power. Methodologically, a simple intensional approach does better. (shrink)

People don't always speak the truth. When they don't, we do better not to trust them. Unfortunately, that's often easier said than done. People don't usually wear a ‘Not to be trusted!’ badge on their sleeves, which lights up every time they depart from the truth. Given this, what can we do to figure out whom to trust, and whom not? My aim in this paper is to offer a partial answer to this question. I propose a heuristic—the “Humility Heuristic”—which (...) is meant to help guide our search for trustworthy advisors. In slogan form, the heuristic says: people worth trusting admit to what they don't know. I give this heuristic a precise probabilistic interpretation, offer a simple argument for it, defend it against some potential worries, and demonstrate its practical worth by showing how it can help address some difficult challenges in the relationship between experts and laypeople. (shrink)