Duhem's and Quine's holistic theses, when properly understood, allow methodologically responsible ways of resolving a conflict between a theoretical system and experience; they only deny the possibility of doing it in an epistemically persuasive way. By developing a "string" model of scientific tests I argue that the pattern of interaction between the elements of a theoretical system arising in response to multiple adverse data can be helpful in locating a "weak spot" in it. Combining this model with anti-holistic arguments (...) of Popper, Greenwood, and Lakatos significantly reinforces their joint power. (shrink)

Sherri Roush ([2005]) and I ([2001], [2006]) have each argued independently that the most significant challenge to scientific realism arises from our inability to consider the full range of serious alternatives to a given hypothesis we seek to test, but we diverge significantly concerning the range of cases in which this problem becomes acute. Here I argue against Roush's further suggestion that the atomic hypothesis represents a case in which scientific ingenuity has enabled us to overcome the (...) problem, showing how her general strategy is undermined by evidence I have already offered in support of what I have called the 'problem of unconceived alternatives'. I then go on to show why her strategy will not generally (if ever) allow us to formulate and test exhaustive spaces of hypotheses in cases of fundamental scientific theorizing. (shrink)

Attempts by 20th century philosophers of science to define inductive concepts and methods concerning the support provided to scientific theories by empirical data have been unsuccessful. Although 20th century philosophers of science largely ignored statistical methods for testing theories, when they did address them they argued against rather than for their use. In contrast, this study demonstrates that traditional statistical methods used for validating computer simulation models provide tests of the scientific theories that those models may embody. This (...) study shows that these statistical methods are applicable regardless of whether the scientific theory or model is deterministic, stochastic, or chaos-based in nature. Traditional statistical methods, such as hypothesis testing, test theories by providing measures of their goodness-of-fit with the portion of the world the theories describe. Nothing more is needed to portray the agreement between theory and the world. Furthermore, the statistical measures of goodness-of-fit are not ampliative inductive measures. Therefore, the ultimate value and direction of the 20 th century ampliative inductive program within philosophy of science is thrown into question. This study also suggests that advanced statistical, visualization, and hybrid quantitative qualitative methods hold promise for offering scientists additional methods for testing scientific theories through validating their computer model representations. As a prerequisite to the above discussions, this study proves that scientific theories, when applied to concrete physical systems, can indeed be represented by computer models. (shrink)

Traditional attempts to delineate the distinctive rationality of modern science have taken it for granted that the purpose of empirical research is to test judgments. The choice of concepts to use in those judgments is therefore seen either a matter of indifference (Popper) or as important choice which must be made, so to speak, in advance of all empirical research (Carnap). I argue that scientific method aims precisely at empirical testing of concepts, and that even the simplest (...) class='Hi'>scientific ex- periment or observation results in conceptual change. (shrink)

We review the definition of the Full Bayesian Significance Test (FBST), and summarize its main statistical and epistemological characteristics. We review also the Abstract Belief Calculus (ABC) of Darwiche and Ginsberg, and use it to analyze the FBST’s value of evidence. This analysis helps us understand the FBST properties and interpretation. The definition of value of evidence against a sharp hypothesis, in the FBST setup, was motivated by applications of Bayesian statistical reasoning to legal matters where the sharp hypotheses (...) were defendants statements, to be judged according to the Onus Probandi juridical principle. (shrink)

A conventional experiment is proposed to resolve the realist/idealist debate by challenging the premise that double blinding and an attitude of objectivity in general deter the corroborative influence which preconceptions exert on perception. The possibility that objectivity enhances corroboration would not contradict empirical findings, and would account for the success of science.

It is generally accepted among philosophers of science that hypothesis testing is a key methodological feature of science. As far as philosophical theories of confirmation are con...

It is commonly hypothesized that scientists are more likely to engage in data falsification and fabrication when they are subject to pressures to publish, when they are not restrained by forms of social control, when they work in countries lacking policies to tackle scientific misconduct, and when they are male. Evidence to test these hypotheses, however, is inconclusive due to the difficulties of obtaining unbiased data. Here we report a pre-registered test of these four hypotheses, conducted on (...) papers that were identified in a previous study as containing problematic image duplications through a systematic screening of the journal PLoS ONE. Image duplications were classified into three categories based on their complexity, with category 1 being most likely to reflect unintentional error and category 3 being most likely to reflect intentional fabrication. We tested multiple parameters connected to the hypotheses above with a matched-control paradigm, by collecting two controls for each paper containing duplications. Category 1 duplications were mostly not associated with any of the parameters tested, as was predicted based on the assumption that these duplications were mostly not due to misconduct. Categories 2 and 3, however, exhibited numerous statistically significant associations. Results of univariable and multivariable analyses support the hypotheses that academic culture, peer control, cash-based publication incentives and national misconduct policies might affect scientific integrity. No clear support was found for the “pressures to publish” hypothesis. Female authors were found to be equally likely to publish duplicated images compared to males. Country-level parameters generally exhibited stronger effects than individual-level parameters, because developing countries were significantly more likely to produce problematic image duplications. This suggests that promoting good research practices in all countries should be a priority for the international research integrity agenda. (shrink)

The scientific realism debate in philosophy of science raises some intriguing methodological issues. Scientific realism posits a link between a scientific theory's observational and referential success. This opens the possibility of testing the thesis empirically, by searching for evidence of such a link in the record of theories put forward in the history of science. Many realist philosophers working today propose case study methodology as a way of carrying out such a test. This article argues that (...) a qualitative method such as case study methodology is not adequate for this purpose, for two reasons: to test scientific realism is to pose an effects‐of‐causes question, and observational and referential success are quantities that theories possess to a greater or lesser degree. The article concludes that an empirical test of scientific realism requires a quantitative method. (shrink)

Rich with historical and cultural value, these works are published unaltered from the original University of Minnesota Press editions.

The contributions to Testing Scientific Theories are unified by an in-terest in responding to criticisms directed by Glymour against existing models of confirmation—chiefly H-D and Bayesian schemas—and in assessing and correcting the "bootstrap" model of confirmation that he proposed as an alternative in Theory and Evidence (1980). As such, they provide a representative sample of objections to Glymour's model and of the wide range of new initiatives in thinking about scientific confirmation that it has influenced. The effect is (...) a sense of engagement and focus, and of significant advance at least in articulation of the problems that require solution; as Earman observes, "it is . . . heartening to report that the various opposing camps learned from each other" (p. vi).' In what follows I am concerned to assess what has been learned both critically, about Glymour's model, and constructively about the resources of the alternatives he challenges. My thesis is that while the theories emerging in this debate do deal with a wider range of scientific practice than before, their remaining limitations raise important questions about the ambitions and criteria of adequacy that have traditionally governed philosophical inquiry in this area. (shrink)

Kuhn's theory of paradigm reveals a pattern of scientific progress, in which normal science alternates with scientific revolution. But Kuhn underrated too much the function of scientific test in his pattern, because he focuses all his attention on the hypothetico-deductive schema instead of Bayesian schema. This paper employs Bayesian schema to re-examine Kuhn's theory of paradigm, to uncover its logical and rational components, and to illustrate the tensional structure of logic and belief, rationality and irrationality, in (...) the process of scientific revolution. (shrink)

A form of context-appropriate verificationism is proposed that distinguishes between scientific theories as evolving systems of ideas and operationally-specified, testable formal-empirical models. Theories undergo three stages (modes): a formative, exploratory, heuristic phase of theory conception, a developmental phase of theory-pruning and refinement, and a mature, rigorous phase of testing specific, explicit models. The first phase depends on Feyerabendian open possibility, the second on theoretical plausibility and internal coherence, and the third on testability (falsifiability, predictive efficacy). Multiple perspectives produce variety (...) necessary for theory formation, whereas explicit agreement on evaluative criteria is essential for testing. Hertzian observer-mechanics of empirical-deductive scientific models are outlined that use semiotic operations of measurement/evaluation, computation, and physical action/construction. If models can be fully operationalized, then they can be intersubjectively verified (tested) irrespective of metaphysical, theoretical, value-, or culture-based disagreements. Verificationism can be expanded beyond simple predictive efficacy to incorporate testing for pragmatic, functional efficacy in engineering, medicine, and design contexts. Such a more open, pragmatist, operationalist, epistemically-constructivist perspective is suggested in which verification is contingent on the type of assertion (e.g., heuristic, analytic, empirical, pragmatic), its intended purpose, degree and reliability of model-based evidence, and existence of alternate, competing predictive models. Suggestions for epistemological hygiene amidst the world-wide pandemic of misinformation and propaganda are offered. (shrink)

Duhem—Quine underdetermination plays a constructive role in epistemology by pinpointing the impact of non-empirical virtues or cognitive values on theory choice. Underdetermination thus contributes to illuminating the nature of scientific rationality. Scientists prefer and accept one account among empirical equivalent alternatives. The non-empirical virtues operating in science are laid open in such theory choice decisions. The latter act as an epistemological test tube in making explicit commitments to how scientific knowledge should be like.

How is a scientific theory, especial a classical physical theory, tested? This problem has a long history. In this paper I’ll propose a theory of testing based on but differentiated from Giere’s studies on the structure of scientific theories. I will show, from both theoretical and historical perspectives, that a scientific theory can always be understood as one contains a classified model population, including both higher-level models and realizable models, and that scientists always test a theory (...) through its realizable models. To transmit the consequences of testing realizable models to a higher-level model is a very complicated mechanism. Therefore, it is unlikely that a whole theory could ever be completely confirmed or falsified, even if some of its realizable models havebeen conclusively confirmed or falsified. Finally, I’ll illustrate such a theory of testing can give an adequate account of the testing history of a scientific theory, for example, the Newtonian theory. This theory of testing is a rational reconstruction, in Lakatosian sense, of the process of scientific testing. (shrink)

Theory of Mind (ToM), the cognitive capacity to attribute internal mental states to oneself and others, is a crucial component of social skills. Its formal study has become important, witness recent research on reasoning and information update by intelligent agents, and some proposals for its formal modelling have put forward settings based on Epistemic Logic (EL). Still, due to intrinsic idealisations, it is questionable whether EL can be used to model the high-order cognition of ‘real’ agents. This manuscript proposes a (...) framework that takes visibility, memory, perspective and communication as the main factors underpinning mental attributions. This is more in-line with findings in cognitive science and allows us to model well-known False-Belief Tasks that are typically used in testing people's ToM. We discuss some of the framework's technical features, arguing why it does justice to empirical observations. (shrink)

Laudan's normative naturalism' claims to account for the success of science by construing theories and other claims as methodological rules interpreted as defeasible hypothetical imperatives for securing cognitive ends. We ask two questions regarding the adequacy for medicine of Laudan's meta- methodology. First, although Laudan denies that general aims can be assigned to a science, we show that this is not the case for medicine. Second, we argue that Laudan's account yields mixed results as a tool for evaluating methodological rules (...) in medicine. These shortcomings call into question the adequacy of normative naturalism as a meta-methodology for science. (shrink)

Even after several decades of human drug development, there remains an absence of published, substantial, comprehensive data to validate the use of animals in preclinical drug testing, and to point to their pr...

En este trabajo se plantea, en primer lugar, la conveniencia de distinguir en el proceso de la contrastación empirica de hipótesis y teorías entre observación cientifíca y percepción y, en segundo lugar, se muestra como el munda procesado a través de la percepción se erige en base o soporte empírico del conocimiento científico. Una de las consecuencias del trabajo es que Ia tesis de “la carga teórica" de Ia observación ha sido mal planteada, al dar par sentado que esa carga (...) teórica afecta tambien al procesamiento perceptivo de los outputs proporeionados al científico por el instrumental de observación.This paper first suggests that, in analyses of the empirical testing of hypotheses and theories, scientific observation should be distinguished from perception; and goes on to say that the world, as processed by perception, is the basis or empirical foundation of scientific knowledge. This thesis that observation is “theory-laden” has been flawed by its being articulated as applying not only to scientific observation but also to the perceptional processing of the output provided to the scientists by observational instruments. (shrink)

Kuhn 's contribution should be viewed as posing a number of important problems, not as a full-fledged theory of the structure of science. Kuhn 's alleged theory-ladenness of observations is examined as a test case in the light of Hintikka's interrogative model of inquiry. A certain superficial theory-ladenness is built into that model. Moreover, the model provides a deeper analysis of theory-ladenness via the two-levelled character of experimental science. A higher-level and a lower-level inquiry rely on different kinds of (...) initial premises and operate with different kinds of "answers" by nature. The model also throws light on the alleged theory-ladenness of meaning. (shrink)

_The Test Drive_ deals with the war perpetrated by highly determined reactionary forces on science and research. How does the government at once promote and prohibit scientific testing and undercut the importance of experimentation? To what extent is testing at the forefront of theoretical and practical concerns today? Addressed to those who are left stranded by speculative thinking and unhinged by cognitive discourse, _The Test Drive_ points to a toxic residue of uninterrogated questions raised by Nietzsche, Husserl (...) and Derrida. Ranging from the scientific probe to modalities of testing that include the limits of friendship or love, this work explores the crucial operations of an uncontestable legitimating machine. Avital Ronell offers a tour-de-force reading of legal, pharmaceutical, artistic, scientific, Zen, and historical grids that depend upon different types of testability, involving among other issues what it means to put oneself to the test. (shrink)

This paper examines the effects of a decrease in auditor litigation risk in a setting that isolates a change in auditor litigation risk from changes in auditor reputation. _StoneRidge Investment Partners v. Scientific Atlanta_ is a 2008 U.S. Supreme Court ruling that restricted secondary actor liability in class action suits, resulting in a decrease in class actions that listed auditors as defendants. We document that the _StoneRidge_ decision is associated with a negative CAR for clients of Big 4 auditors (...) and industry specialist auditors, in particular those associated with high-litigation risk, low cash, and past incidences of modified going concern opinions. These findings are consistent with investor perception of lower potential payoffs from secondary defendants in class action suits, in particular auditors, following the _StoneRidge_ decision. We also document that auditors are more (less) likely to accept (reject) risky clients and charge lower audit fees to risky clients after _StoneRidge_, consistent with a decrease in auditor litigation risk that increases auditor risk tolerance. Finally, we provide evidence that audit firms issue fewer going concern opinions following _StoneRidge_, consistent with a decrease in litigation risk leading to lower audit quality_._ Our results are relevant to policy makers as they consider the disciplinary role of litigation on audit markets. (shrink)

1. Overview and organizing themes 2. Historical Review: Aristotle to Mill 3. Logic of method and critical responses 3.1 Logical constructionism and Operationalism 3.2. H-D as a logic of confirmation 3.3. Popper and falsificationism 3.4 Meta-methodology and the end of method 4. Statistical methods for hypothesis testing 5. Method in Practice 5.1 Creative and exploratory practices 5.2 Computer methods and the ‘third way’ of doing science 6. Discourse on scientific method 6.1 “The scientific method” in science education and (...) as seen by scientists 6.2 Privileged methods and ‘gold standards’ 6.3 Scientific method in the court room 6.4 Deviating practices 7. Conclusion Bibliography Academic Tools Other Internet Resources Related Entries . (shrink)

The development of physical theory is one of our greatest intellectual achievements. Its products--the currently prevailing theories of physics, astronomy, and cosmology--have proved themselves to possess intrinsic beauty and to have enormous explanatory and predictive power. This anthology of primary readings chronicles the birth and maturation of five such theories (the heliocentric theory, the electromagnetic field theory, special and general relativity, quantum theory, and the big bang theory) in the words of the scientists who brought them to life. It is (...) the first historical account that captures the rich substance of these theories, each of which represents a fascinating story of the interplay of evidence and insight--and of dialogue among great minds. Readers sit in with Copernicus, Kepler, and Galileo as they overturn the geocentric universe; observe the genius of Faraday and Maxwell as they "discover" the electromagnetic field; look over Einstein's shoulder as he works out the details of relativity; listen in as Einstein and Bohr argue for the soul of quantum mechanics in the Completeness Debate; and watch as Hubble and others reveal the history of the universe. The editors' approach highlights the moments of discovery that rise from scientific creativity, and the presentation humanizes the scientific process, revealing the extent to which great scientists were the first to consider the philosophical implications of their work. But, most significantly, the editors offer this as their central thesis: although each was ushered in by a revolution, and each contains counterintuitive elements that delayed its acceptance, these five theories exhibit a continuous rational development that has led them to a permanent place in the worldview of science. Accessible to the general reader yet sufficiently substantive that working scientists will find value in it, The Tests of Time offers an intimate look into how physical theory has been developed, by the brilliant people who have developed it. (shrink)

According to scientific realists, the predictive success of mature theories provides a strong epistemic basis for thinking that such theories are approximately true. However, we know that many theories once regarded as well-confirmed and predictively successful were eventually replaced with successor theories, and some claim this undermines the epistemic confidence we should have in the approximate truth of current science. Selective scientific realists in turn argue that if one can show that the predictive success of some rejected theory (...) T is a function of theoretical claims consistent with current science, then T’s failure doesn’t undermine the claim that current successful theories are approximately true. As such, Selective Scientific Realism (SSR) can be tested through historical examples. Showing that the predictive success of a failed theory is the result of theoretical features later rejected provides a counterexample to SSR. Conversely, SSR is supported if its explanation of the predictive success of failed theories--namely, that the factors which lead to predictive success in the failed theory survive in the successor theory--is able to handle a wide array of historical cases. (shrink)

The appearance of consciousness in the universe remains one of the major mysteries unsolved by science or philosophy. Absent an agreed-upon definition of consciousness or even a convenient system to test theories of consciousness, a confusing heterogeneity of theories proliferate. In pursuit of clarifying this complicated discourse, we here interpret various frameworks for the scientific and philosophical study of consciousness through the lens of social insect evolutionary biology. To do so, we first discuss the notion of a forward (...) test versus a reverse test, analogous to the normal and revolutionary phases of the scientific process. Contemporary theories of consciousness are forward tests for consciousness, in that they strive to become a means to classify the level of consciousness of arbitrary states and systems. Yet no such theory of consciousness has earned sufficient confidence such that it might be actually used as a forward test in ambiguous settings. What is needed now is thus a legitimate reverse test for theories of consciousness, to provide internal and external calibration of different frameworks. A reverse test for consciousness would ideally look like a method for referencing theories of consciousness to a tractable model system. We introduce the Ant Colony Test as a rigorous reverse test for consciousness. We show that social insect colonies, though disaggregated collectives, fulfill many of the prerequisites for conscious awareness met by humans and honey bee workers. A long lineage of philosophically-neutral neurobehavioral, evolutionary, and ecological studies on social insect colonies can thus be redeployed for the study of consciousness in general. We suggest that the ACT can provide insight into the nature of consciousness, and highlight the ant colony as a model system for ethically performing clarifying experiments about consciousness. (shrink)

Broadly speaking, the contemporary scientific realist is concerned to justify belief in what we might call theoretical truth, which includes truth based on ampliative inference and truth about unobservables. Many, if not most, contemporary realists say scientific realism should be treated as ‘an overarching scientific hypothesis’ (Putnam 1978, p. 18). In its most basic form, the realist hypothesis states that theories enjoying general predictive success are true. This hypothesis becomes a hypothesis to be tested. To justify our (...) belief in the realist hypothesis, realists commonly put forward an argument known as the ‘no-miracles argument’. With respect to the basic hypothesis this argument can be stated as follows: it would be a miracle were our theories as successful as they are, were they not true; the only possible explanation for the general predictive success of our scientific theories is that they are true. (shrink)

Science education is generally perceived as a key facilitator in cultivating a scientifically literate society. In the last decade, however, this conventional wisdom has been challenged by evidence that greater scientific literacy and critical thinking skills may in fact inadvertently aggravate polarization on scientific matters in the public sphere. Supporting an alternative “scientific update hypothesis,” in a series of studies (total N = 2087), we show that increased science’s epistemology literacy might have consequential population-level effects on the (...) public’s alignment with scientific results. In one exploratory study and a pre-registered national online survey, we first show that understanding scientific epistemology predicts refusal of pseudoscientific beliefs and higher scores in a methodology of science test. We also find and replicate a propensity for epistemologically literate citizens to endorse the norm of belief updating and the communicated scientific consensus following both ideologically congruent and incongruent scientific results. Notably, after 2 months of first being presented with scientific results on politically controversial issues, a one standard deviation higher score in epistemological literacy is associated with a 14% increase in the odds of individuals switching their beliefs to align with the scientifically communicated consensus. We close by discussing how, on the face of ideological incongruity, a general understanding of scientific epistemology might foster the acceptance of scientific results, and we underscore the need for a more nuanced appreciation of how education, public comprehension of scientific knowledge, and the dynamics of polarization intersect in the public sphere. (shrink)

The historic material culture produced by American Cold War nuclear weapons testing includes objects of scientific inquiry that can be generally categorized as being either ephemeral or enduring. Objects deemed to be ephemeral were of a less substantial nature, being impermanent and expendable in a nuclear test, while enduring objects were by nature more durable and long-lasting. Although all of these objects were ultimately subject to disappearance, the processes by which they were transformed, degraded, or destroyed prior to (...) their disappearing differ. Drawing principally upon archaeological theory, this paper proposes a functional dichotomy for categorizing and studying the historical trajectories of nuclear weapons testing technoscience artifacts. In examining the transformation patterns of steel towers and concrete blockhouses in particular, it explores an associated loss of scientific method that accompanies a science object's disappearance. (shrink)

Larry Laudan has challenged the realist to come up with a program that submits realism to "those stringent empirical demands which the realist himself minimally insists on when appraising scientific theories." This paper shows how the realist can go about taking up Laudan on this challenge; and, in such a way that the realist hypothesis actually ends up being confirmed, by any empirical standards. In other words, it is shown that we can test for convergent realism, just as (...) readily as Laudan can test for a connection between theories that are controlled by the cannons of science and their subsequent reliability. (shrink)

In “A Confutation of Convergent Realism,” Larry Laudan presents the realist with these fascinating challenges:What,then,of realism itself as a ‘scientific’ hypothesis?…If realism has made some novel predictions or been subjected to carefully controlled tests, one does not learn about it from the literature of contemporary realism. (1981, p. 46.)He then goes on to say:No proponent of realism has sought to show that realism satisfies those stringent empirical demands which the realist himself minimally insists on when appraising scientific theories. (...) (1981, p. 46)Not only do I fully endorse what Laudan says in these passages, I think it is time to take him up on these challenges.Laudan’s position has been that scientific progress can be explained without having to appeal to verisimilitude. Instead, we explain the success of a scientific theory in terms of its subjugation to the cannons of experimental controls: those theories that have been put through proper testing during the course of their formulation are the ones that are most likely to be reliable. (1984, pp. 96-101). (shrink)

Penelope Maddy and Elliott Sober recently attacked the confirmational indispensability argument for mathematical realism. We cannot count on science to provide evidence for the truth of mathematics, they say, because either scientific testing fails to confirm mathematics (Sober) or too much mathematics occurs in false scientific theories (Maddy). I present a pragmatic indispensability argument immune to these objections, and show that this argument supports mathematical realism independently of scientific realism. Mathematical realism, it turns out, may be even (...) more firmly established than scientific realism. (shrink)

Contemporary regulation of food safety incorporates principles of quality management and systemic performance objectives that used to characterize private standards. Conversely, private standards are covering ground that used to be the realm of regulation. The nature of the two is becoming increasingly indistinguishable. The case study of the Ugandan fish export industry highlights how management methods borrowed from private standards can be applied to public regulation to achieve seemingly conflicting objectives. In the late 1990s, the EU imposed repeated bans on (...) fish imported from Uganda on the basis of food safety concerns. However, the EU did not provide scientific proof that the fish were actually “unsafe.” Rather, the poor performance of Uganda’s regulatory and monitoring system was used as justification. Only by fixing “the system” and performing the ritual of laboratory testing for all consignments for export to the EU did the Ugandan industry regain its status as a “safe” source of fish. Yet, gaps and inconsistencies abound in the current Ugandan fish safety management system. Some operations are by necessity carried out as “rituals of verification.” Given the importance of microbiological tests and laboratories in the compliance system, “alchemic rituals” provide an appropriate metaphor. These rituals are part and parcel of a model that reassures the EU fish-eating public that all is under control in Uganda from boat to point of export. As a consequence, actual non-compliance from boat to landing site allows the fishery to survive as an artisanal operation. (shrink)

This book brings together ten previously published essays on the philosophy of economics and economic methodology. The general theme is the application of Karl Popper's philosophy of science to economics -- not only by Popper himself but also by other members of the "Popperian school." There are three major issues that surface repeatedly: the applicability of Popper's falsificationist philosophy of science; the applicability of I. Lakatos's "methodology of scientific research programs" to economics; and the question of Popper's "situational analysis" (...) approach to social science. (shrink)

Our understanding of implicit bias and how to measure it has yet to be settled. Various debates between cognitive scientists are unresolved. Moreover, the public’s understanding of implicit bias tests continues to lag behind cognitive scientists’. These discrepancies pose potential problems. After all, a great deal of implicit bias research has been publicly funded. Further, implicit bias tests continue to feature in discourse about public- and private-sector policies surrounding discrimination, inequality, and even the purpose of science. We aim to do (...) our part by reconstructing some of the recent arguments in ordinary language and then revealing some of the operative norms or values that are often hidden beneath the surface of these arguments. This may help the public learn more about the science of implicit bias. It may also help both laypeople and scientists reflect on the values, interests, and stakeholders involved in establishing, justifying, and communicating scientific research. (shrink)

The accelerating advances in the fields of neuroscience, artificial intelligence, and robotics have been garnering interest and raising new philosophical, ethical, or practical questions that depend on whether or not there may exist a scientific method of probing consciousness in machines. This paper provides an analytic review of the existing tests for machine consciousness proposed in the academic literature over the past decade, and an overview of the diverse scientific communities involved in this enterprise. The tests put forward (...) in their work typically fall under one of two grand categories: architecture and behaviour. Each category has its strengths and weaknesses. Architecture tests' main advantage is that they could apparently test for qualia, a feature that has been receiving increasing attention in recent years. Behaviour tests are more synthetic and more practicable, but give a stronger role to ex post human interpretation of behaviour. We show how some disciplines and places have affinities towards certain type of tests, and which tests are more influential according to scientometric indicators. (shrink)

The classical notion of scientific objectivity is a property of propositional truth. It is the property of being open to testing and inspection, in principle, by all men, although in practice perhaps, the testing of a scientific claim is restricted to the members of a community of professional experts. It is, moreover, the property of being stable in time, true eternally as it were; for objective truth is thought to express what is so independently of human interests, initiatives, (...) bias, social circumstances and historical environment. Often there is the added connotation that what is so is pictured not in its relationship to man, but absolutely, as it were, in itself, or in its relations to the rest of nature, where nature is taken to have an essence independently of the meaning conferred on nature by Dasein. All this is expressed as truth-invariance relative to synchronous communities of knowers whether sympatric or allopatric : truth-invariance relative to allochronous communities of knowers, and truth-invariance relative to the physical transformations and substitutions which define the objective content of a scientific law or theory. (shrink)

Scientific discovery is often regarded as romantic and creative - and hence unanalyzable - whereas the everyday process of verifying discoveries is sober and more suited to analysis. Yet this fascinating exploration of how scientific work proceeds argues that however sudden the moment of discovery may seem, the discovery process can be described and modeled. Using the methods and concepts of contemporary information-processing psychology (or cognitive science) the authors develop a series of artificial-intelligence programs that can simulate the (...) human thought processes used to discover scientific laws. The programs - BACON, DALTON, GLAUBER, and STAHL - are all largely data-driven, that is, when presented with series of chemical or physical measurements they search for uniformities and linking elements, generating and checking hypotheses and creating new concepts as they go along. "Scientific Discovery examines the nature of scientific research and reviews the arguments for and against a normative theory of discovery; describes the evolution of the BACON programs, which discover quantitative empirical laws and invent new concepts; presents programs that discover laws in qualitative and quantitative data; and ties the results together, suggesting how a combined and extended program might find research problems, invent new instruments, and invent appropriate problem representations. Numerous prominent historical examples of discoveries from physics and chemistry are used as tests for the programs and anchor the discussion concretely in the history of science. Pat Langley is an Associate Professor in the Department of Information and Computer Science at the University of California, Irvine.Herbert Simon is a Professor in the Departments of Psychology, Computer Science, and Philosophy at Carnegie-Mellon University. Gary L. Bradshaw is an Assistant Professor in the Department of Psychology and Institute of Cognitive Science at the University of Colorado, Boulder. Jan M. Zytkow is an Associate Professor in the Computer Science Department at Wichita State University. (shrink)

This paper argues that clinicians are sometimes justified in not testing diagnoses or in not subjecting them to a full battery of tests. In deciding whether to conduct a test, a clinician may consider and weigh several different factors, including her confidence in her initial diagnosis, the specificity and sensitivity of the test, the consequences of making a false diagnosis, the pain, harm, and inconvenience caused by the test, and the costs of the test to the (...) patient and society. This view suggests that diagnoses are fundamentally different from scientific hypotheses in that they are not always subjected to the same evidential standards. (shrink)