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)

It may be possible to scientifically test philosophical skepticism; at least this is what I shall maintain. The argument develops the naturalistic insight that there may be no particular reason to suppose that nature has selected Homo sapiens’ epistemic capacities such that we are ideally suited to forming a true theory of everything, or indeed, a true theory of much of anything. Just as chimpanzees are cognitively limited - there are many concepts, ideas, and theories beyond their grasp - so (...) too might our conception of the universe seem limited from the point of view of some creature more “evolved” than humans. On the other hand, some physicists (et al.) have argued that humans are on the verge of discovering a “final theory of everything”. Such epistemic “optimism” seems to directly contradict the idea that we might be cognitively limited. To adjudicate between these views I shall suggest the outlines of several “crucial tests” that involve attempting to create creatures who stand to us, with respect to intelligence and wisdom, as we do to apes. A positive result from any of these experiments will indicate that the skeptical view is correct, while failure to create “higher” intelligences lends support to the epistemic optimists’ position. 2. (shrink)

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

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)

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...

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)

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)

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)

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)

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)

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.

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)

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)

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.

The contributions to Testing Scientific Theories are unified by an interest 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. 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”. 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)

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)

If a machine attains consciousness, how could we find out? In this paper, I make three related claims regarding positive tests of machine consciousness. All three claims center on the idea that an AI can be constructed “ad hoc”, that is, with the purpose of satisfying a particular test of consciousness while clearly not being conscious. First, a proposed test of machine consciousness can be legitimate, even if AI can be constructed ad hoc specifically to pass this test. This is (...) underscored by the observation that many, if not all, putative tests of machine consciousness can be passed by non-conscious machines via ad hoc means. Second, we can identify ad hoc AI by taking inspiration from the notion of an ad hoc hypothesis in philosophy of science. Third, given the first and the second claim, the most reliable tests of animal consciousness turn out to be valid and useful positive tests of machine consciousness as well. If a non-ad hoc AI exhibits clusters of cognitive capacities facilitated by consciousness in humans which can be selectively switched off by masking and if it reproduces human behavior in suitably designed double dissociation tasks, we should treat the AI as conscious. (shrink)

Carnap described ways to test scientific hypotheses. However, Carnap acknowledged that confirmation can never be definite. This left open the issue about the criteria to accept hypotheses. On the other hand, Wang has developed a computer program working without sufficient knowledge or resources, which makes the action of the program akin to the manner the human mind thinks. Wang’s program includes quantitative indicators that can be assigned to the frequency and the confidence of sentences. The present paper tries to (...) link both approaches. The goal is to show how quantitative indicators such as those in Wang’s program can also be attributed to scientific hypotheses. Those indicators can help make decisions about the acceptance of the hypotheses. All of this allows proposing general characteristics for a possible algorithm to decide whether a particular hypothesis is admissible. (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)

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)

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)

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 (and non-human) model system. We introduce the Ant Colony Test (ACT) 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)

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 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)

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)

Inference to the Best Explanation has become the subject of a livelydebate in the philosophy of science. Scientific realists maintain, while scientificantirealists deny, that it is a compelling rule of inference. It seems that anyattempt to settle this debate empirically must beg the question against theantirealist. The present paper argues that this impression is misleading. A methodis described that, by combining Glymour's theory of bootstrapping and Hacking'sarguments from microscopy, allows us to test IBE without begging any antirealistissues.

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)

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 : 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. 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 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, 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)

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)

Este artículo analiza el Test de Turing, uno de los métodos más famosos y controvertidos para evaluar la existencia de vida mental en la Filosofía de la Mente, revelando dos mitos filosóficos comúnmente aceptados y criticando su dogma. En primer lugar, se muestra por qué Turing nunca propuso una definición de inteligencia. En segundo lugar, se refuta que el Test de Turing involucre condiciones necesarias o suficientes para la inteligencia. En tercer lugar, teniendo presente el objetivo y el tipo de (...) evidencia que recopila, se considera si el Test de Turing cuenta como un experimento científico a la luz de la concepción de Fodor. Finalmente, se argumenta que Turing simpatiza con una forma de Conductismo, confundiendo la simulación -un proceso epistémico que, gobernado por la verosimilitud, es eficaz cuando alguien es causado a creer que el computador es inteligente- con la duplicación de la inteligencia en cuanto propiedad, lo que ocurre a nivel ontológico. Tal confusión implica un dogma y explica por qué, a pesar de haber sido propuesto como una solución final a la problemática de si las máquinas programadas piensan, el Test de Turing ha tenido precisamente el efecto contrario en más de cinco décadas, estimulando el debate filosófico en torno a la naturaleza de lo mental.Debunking two commonly held myths and fleshing out its dogma, this article deals with the Turing Test, one of the most famous and controversial methods to assess the existence of mental life in the Philosophy of Mind. Firstly, I show why Turing never gave a definition of intelligence. Secondly, I dispute claims that the Turing Test provides a necessary or sufficient condition of intelligence. Thirdly, in view of its aim and the sort of evidence it offers, I consider whether or not Turing's test can be regarded as a scientific experiment in light of Fodor's theory. Finally, I argue that Turing is committed to a form of behaviourism and, further, confuses simulation -an epistemic process which, being governed by verisimilitude, is successful when someone is caused to believe that the computer is intelligent-with the duplication of intelligence qua property, which takes place at an ontological level. This confusion involves a dogma and explains why, despite being devised as the final solution to the dilemma of whether or not programmed machines think, the Turing Test has precisely had the opposite effect for longer than five decades, stimulating the philosophical discussion on the nature of mind. (shrink)

Data production in experimental sciences depends on localised experimental systems, but the epistemic properties of data transcend the contingencies of the processes that produce them. Philosophers often believe that experimental systems instantiate but do not produce the epistemic properties of data. In this paper, we argue that experimental systems' local functioning entails intrinsic capacities to produce the epistemic properties of data. We develop this idea by applying Derrida's model of arche-writing to study a case of theory-oriented experimental practice. Derrida's model (...) relativises or dissolves the conceptual distinction between the moment of data production and a subsequent moment of data dissemination. It thus has consequences for understanding both data production (despite being intrinsically local, data production a priori generates transferrable and modellable information) and data dissemination (when modelling information, researchers needs to refer this information to the context of its production). We study a case of data production in a non-exploratory experimental system designed to test a pre-existing hypothesis in visual neuroscience. A case of theory-oriented experimental practice should allow us to identify the autonomous functioning of experimental systems in data production more clearly, insofar as it allows us to study the limits of pre-existing theory in the activities of these systems. We suggest that pre-existing concepts, hypotheses and theories condition the relevance but not the production of experimental data. (shrink)

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)

Thomas Kuhn’s theory of paradigm reveals a pattern of scientific progress, in which normal science alternates with scientific revolution, but he underrated too much the function of scientific test in his pattern. Wesley C. Salmon pointed out that, on criticizing the so-called testing pattern of science, Kuhn focused all his attention on a single testing model, namely hypothetico–deductive (H–D) schema. However, as a matter of fact, many philosophers of science had already abandoned that schema and (...) taken Bayesian schema as a proper testing model. The main difference between Bayesian schema and the H–D schema lies in that the former is a testing model for more than one theory while the latter just for a single theory. Since Kuhn, multi-theoretical testing model has become aconsensus among experts, that is, a theory and its rivals should be faced with testing together, rather than a theory being tested in isolation. Kuhn was correct in finding the H–D schema not appropriate to scientific test, but didn’t catch the propriety of Bayesian schema in this field. This led to his disapproval of the logic or method of scientific test. I agrees largely with Salmon’s appraisal of Kuhn’s view on scientific test, and gives a further argument for it. I’ll employs Bayesian schema to re-examine Kuhn’s theory of paradigm, uncover its logical, or rational, components, and thereby illustrate the tension structure of logic and belief, rationality and irrationality, and comparability and incommensurability in the process of scientific revolution. (shrink)

Historians of biology have argued that much of the dynamics of experimental disciplines such as genetics or molecular biology can be understood from studying experimental systems and model organisms alone . Such accounts contrast sharply with more traditional philosophies of science which viewed scientific research essentially as a process of inventing and testing theories. I present a case from the history of biochemistry which can be viewed from both the experimental systems perspective and from the methodology of theory (...) testing. I argue that not only are the two perspectives fully compatible, but they are both necessary for a complete account of the research process. (shrink)

Frente a la tesis de la "carga teórica", se muestra como en el proceso de contrastación de hipótesis y teorías es conveniente distinguir entre observación científica y percepción y, luego, se defiende que en los procesos de percepción no están implicados los conceptos teóricos de la ciencia sino conceptos de otro nivel, los que toman cuerpo en la codificación de la estimulación sensorial procedente de los ítems identificados perceptivamente. De donde se sigue que el mundo identificado a través de los (...) procesos de percepción es la base o soporte empírico del conocimiento científico. (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)