Aristotelian ethics is widely accepted by many scholars as a practical science. However, this study showed that it is not after all a practical science but a speculative or theoretical science. Having employed textual analysis on Aristotle’s Nicomachean Ethics, it was found out that eudaimonia the Highest Good/Chief Good which is the ultimate goal of Ethics is achieved not through action but through contemplation. Contemplation is the act not of the will but of intellect. Hence, the (...) highest virtue or excellence of man is the fulfilment of highest faculty which is reason in contemplation of the Chief Good. The Chief Good, which is characterized by Aristotle as final, complete, and Self-Sufficient End is not physical and concrete but rather incorporeal and abstract because such qualities cannot be found among corporeal entities. Thus, Aristotelian ethics is metaphysics; it is neither concrete nor practical. Moreover, happiness cannot be the Chief Good because happiness is merely an activity, a quality, and a disposition and an activity cannot be identified as end which is desired for its own sake. Therefore, the Chief Good must be a substance and this substance is the Final Cause/the Necessary Being which is the End of all ends and the Good of all goods. KEYWORDS: Philosophy, Aristotle, Ethics, Nicomachean Ethics, Moral Philosophy, Metaphysics,Theoretical Science, Speculative Science, Descriptive Textual Analysis, Philippines. (shrink)

Contrary to the view maintained by many philosophers that science employs the deductive testing of hypotheses, observational natural sciences such as paleoanthropology and the earth sciences apply a scientific methodology consisting in the proposal of hypotheses which are best fitted to the available empirical data, i.e. which best explain the data. Observational natural sciences are predominantly empirical. They are grounded in observation, and they do not implement any Popperian deductive testing of hypotheses. Theoretical natural sciences such as mathematical (...) physics also apply inference to the best explanation for the introduction of significant concepts and hypotheses. The aim of this paper is to demonstrate that in contemporary science, the use of abductive reasoning continues to be as effective as ever. (shrink)

In this essay, I examine the nature of Chinese logic and Chinese sciences in the history of China. I conclude that Chinese logic is essentially analogical, and that the Chinese did not have theoretical sciences. I then connect these together and explain why the Chinese failed to develop theoretical sciences, even though they enjoyed an advanced civilization and great scientific and technological innovations. This is because a deductive system of logic is necessary for the development of theoretical (...) sciences, and analogical logic cannot provide the deductive connections between a theory and empirical observations required by a theoretical science. This also offers a more satisfactory answer to the long-standing Needham Problem. (shrink)

While the importance of Avicenna as a source of Aquinas’s thought is generally recognized, the details of that dependence are just now being worked out. This article presents Avicenna’s teaching on the “subjects” of the theoretical sciences—physics, mathematics, and metaphysics—as presented in his Introduction to the Book of Healing. Its influence on Aquinas’s commentary on Boethius’s De trinitate, q. 5, art. 1, is then presented. Comparing Avicenna with Thomas in this way shows the profound influence of Avicenna on Thomas’s (...) understanding of the range of the three kinds of theoretical sciences. (shrink)

With a never-before published paper by Lord Henry Cavendish, as well as a biography on him, this book offers a fascinating discourse on the rise of scientific attitudes and ways of knowing. A pioneering British physicist in the late 18th and early 19th centuries, Cavendish was widely considered to be the first full-time scientist in the modern sense. Through the lens of this unique thinker and writer, this book is about the birth of modern science.

The new phase of science evolution is characterized by totality of subject and object of cognition and technology (high-hume). As a result, forming of network structure in a disciplinary matrix modern are «human dimensional» natural sciences and two paradigmal «nuclei» (attraktors). As a result, the complication of structure of disciplinary matrix and forming a few paradigm nuclei in modern «human dimensional» natural sciences are observed. In the process of social verification integration of scientific theories into the existent system of (...) mental and valued options of spiritual culture takes place. The attribute of classical science – ethics neutrality of scientific knowledge becomes an unattainable ideal. One of the trends in the evolution of theoretical epistemology is the study of migration mechanisms of generation of scientific knowledge from the sphere of its own logic and methodology of science in the field of sociology - the consideration of this process, as the resulting system of interactions of social structures and institutions. Ensuing ideas and settings become the dominant worldview of philosophical and technological civilization. -/- . (shrink)

There is nowadays consensus in the community of didactics of science regarding the need to include the philosophy of science in didactical research, science teacher education, curriculum design, and the practice of science education in all educational levels. Some authors have identified an ever-increasing use of the concept of ‘theoretical model’, stemming from the so-called semantic view of scientific theories. However, it can be recognised that, in didactics of science, there are over-simplified transpositions of (...) the idea of model. In this sense, contemporary philosophy of science is often blurred or distorted in the science education literature. In this paper, we address the discussion around some meta-theoretical concepts that are introduced into didactics of science due to their perceived educational value. We argue for the existence of a ‘semantic family’, and we characterise four different versions of semantic views existing within the family. In particular, we seek to contribute to establishing a model-based didactics of science mainly supported in this semantic family. (shrink)

Hegel’s so-called system of philosophy is a speculative, i.e. meta-level or topical reflec­tion on the logical roles of concepts in world-related empirical knowledge. Its main in­sight is that the so-called explanations in the science are a result of a world-wide work on ‘the concept’, the translatable semantics of our languages, which form a relatively a priori and generic precondition for concrete assertions and their understanding.

The notion that manual gestures played an important role in the evolution of human language was strengthened by the discovery of mirror neurons in monkey area F5, the proposed homologue of human Broca's area. This idea is central to the thesis developed by Arbib, and lending further support to a link between motor resonance mechanisms and language/communication development is the case of autism and congenital blindness. We provide an account of how these conditions may relate to the aforementioned theory.

What are the features of a good scientific theory? Samuel Schindler's book revisits this classical question in the philosophy of science and develops new answers to it. Theoretical virtues matter not only for choosing theories 'to work with', but also for what we are justified in believing: only if the theories we possess are good ones can we be confident that our theories' claims about nature are actually correct. Recent debates have focussed rather narrowly on a theory's capacity (...) to predict new phenomena successfully, but Schindler argues that the justification for this focus is thin. He discusses several other theory properties such as testability, accuracy, and consistency, and highlights the importance of simplicity and coherence. Using detailed historical case studies and careful philosophical analysis, Schindler challenges the received view of theoretical virtues and advances arguments for the view that science uncovers reality through theory. (shrink)

MODERN ARISTOTELIAN SCHOLARSHIP is heavily indebted to the German scholars of the nineteenth century who produced the Berlin Academy editions of Aristotle's corpus and of his Greek commentators. The foundations for this massive project were laid around the middle of the century by people like Schwegler, who edited and commented on Aristotle's Metaphysics. Yet, while acknowledging our debt to such exemplary scholarship, I want to cast doubt on one of his proposed emendations to Metaphysics 6.1, which influenced later editors like (...) W. D. Ross and Werner Jaeger. (shrink)

Taking scientific practice as its starting point, this book charts the complex territory of models used in science. It examines what scientific models are and what their function is. Reliance on models is pervasive in science, and scientists often need to construct models in order to explain or predict anything of interest at all. The diversity of kinds of models one finds in science – ranging from toy models and scale models to theoretical and mathematical models (...) – has attracted attention not only from scientists, but also from philosophers, sociologists, and historians of science. This has given rise to a wide variety of case studies that look at the different uses to which models have been put in specific scientific contexts. By exploring current debates on the use and building of models via cutting-edge examples drawn from physics and biology, the book provides broad insight into the methodology of modelling in the natural sciences. It pairs specific arguments with introductory material relating to the ontology and the function of models, and provides some historical context to the debates as well as a sketch of general positions in the philosophy of scientific models in the process. (shrink)

The new phase of science evolution is characterized by totality of subject and object of cognition and technology (high-hume). As a result, forming of network structure in a disciplinary matrix modern are «human dimensional» natural sciences and two paradigmal «nuclei» (attraktors). As a result, the complication of structure of disciplinary matrix and forming a few paradigm nuclei in modern «human dimensional» natural sciences are observed. In the process of social verification integration of scientific theories into the existent system of (...) mental and valued options of spiritual culture takes place. The attribute of classical science – ethics neutrality of scientific knowledge becomes an unattainable ideal. One of the trends in the evolution of theoretical epistemology is the study of migration mechanisms of generation of scientific knowledge from the sphere of its own logic and methodology of science in the field of sociology - the consideration of this process, as the resulting system of interactions of social structures and institutions. Ensuing ideas and settings become the dominant worldview of philosophical and technological civilization. -/- . (shrink)

The new phase of science evolution is characterized by totality of subject and object of cognition and technology (high-hume). As a result, forming of network structure in a disciplinary matrix modern are «human dimensional» natural sciences and two paradigmal «nuclei» (attraktors). As a result, the complication of structure of disciplinary matrix and forming a few paradigm nuclei in modern «human dimensional» natural sciences are observed.

In the early days of natural language semantics, Donald Davidson issued a challenge to those, like Richard Montague, who would do semantics in a model-theoretic framework that gives a central role to a model-relative notion of truth. Davidson argued that no theory of this kind can claim to be an account of real truth conditions unless it first makes clear how the relativized notion relates to our ordinary non-relativized notion of truth. In the 1990s, Davidson’s challenge was developed by Etchemendy (...) into an argument against the model-theoretic account of logical consequence, one that also threatens the attempt to capture natural language entailment relations in modeltheoretic terms—one of the central desiderata of semantics. Nevertheless, the modeltheoretic framework has flourished within natural language semantics. But it has flourished without any consensus among semanticists as to how to answer Davidson’s challenge. The aim of this essay is to develop an answer. I argue that model-theoretic semantics is best understood as model-based science: a semantics for a natural language is a scientific model of truth conditions. This makes good sense of the way model-theoretic tools are used in natural language semantics. And it allows us to answer Davidson’s challenge by showing how a theory that employs a relativized notion of truth manages to tell us about ordinary truth conditions. Moreover, I argue that it helps us see how semantics can provide genuine explanations for natural language entailment and other truth-conditional phenomena. (shrink)

Normal 0 21 false false false MicrosoftInternetExplorer4 st1:*{behavior:url } This part of the Soviet philosophy that corresponds approximately to theoretical philosophy and philosophy of science on the example of Estonia and proceeding from the University of Tartu is discussed. The author concentrates on the period of approximately 1960–1990, when he himself was engaged in the field, i.e. the time before 1960 is not included. The aim of this paper is not to provide an overview of the individual philosophers (...) in Estonia at the time and their works, but to give a more general description of the philosophy of the Soviet era. The Soviet and the East European philosophy of the time have received rather little critical treatment in literature in English. However, a few general overviews trying to prove that this Soviet and East European philosophical legacy is worth studying have still been published. This paper is focused on the question what kind of philosophical researches it was possible to engage oneself in under the abnormal conditions at the time and whether some starting points and problem issues in theseresearches might be viable also today. Estonian experience confirms the general conclusion of these authors who, analyzing the legacy of Marxism, have found that although Marxism is nowadays—not to mention how it existed in the Soviet totalitarian regime—mainly not considered a serious philosophy but rather an ideological basis of a failed political doctrine, it has nevertheless quite something to offer when treated in a more depoliticized manner, in the general context of philosophical quests. Teoreetiline ja teadusfilosoofia Nõukogude ajal: mõned märkused Eesti näitel 1960-1990 Vaatluse all on Eesti näitel ja lähtudes Tartu ülikoolist see osa Nõukogudeaegsest filosoofiast, mis vastab umbes teoreetilisele filosoofiale ja teadusfilosoofiale. Autor peatub ajavahemikul umbes 1960–1990, mil ta ka ise tegev oli, st 1960-ndate aastate eelset aega ei käsitleta. Artikli eesmärgiks ei ole ülevaate andmine Eestis sel ajal tegutsenud filosoofidest ja nende töödest, vaid Nõukogudeaegse filosoofia üldisem iseloomustamine. Nõukogude ja selleagset Ida-Euroopa filosoofiat on ingliskeelses kirjanduses üsna vähe kriitiliselt uuritud. Üksikuid ülevaateteoseid, milles on püütud näidata, etsee Nõukogude ja Ida-Euroopa filosoofiline pärand väärib uurimist, on siiski ilmunud. Käesolevas artiklis on keskendutud eelkõige küsimusele, mis laadi filosoofilise uurimistööga sai tolle aja ebanormaalsetes tingimustes tegelda ja kas mõned lähtekohad ja probleemipüstitused selles on elujõulised ka veel nüüd. Eesti kogemus kinnitab nende autorite üldist järeldust, kes marksismi pärandit uurides on leidnud, et kuigi marksismi tänapäeval — rääkimata sellest, missugune see oli Nõukogude totalitaarses režiimis — enamasti ei peeta tõsiseltvõetavaks filosoofiaks, vaid pigem läbikukkunud poliitilise õpetuse ideoloogiliseks aluseks, on tal siiski nii mõndagi öelda, kui teda käsitleda depolitiseeritumalt, filosoofiliste otsingute üldises kontekstis. Märksõnad: dialektiline materialism, dialektika, ‘eessõna-marksism’, filosoofia põhiküsimus, Nõukogude filosoofia, ‘ontologistid’ ja ‘epistemologistid’, praktika. (shrink)

Normal 0 21 false false false MicrosoftInternetExplorer4 st1:*{behavior:url(#ieooui) } /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;} This part of the Soviet philosophy that corresponds approximately to theoretical philosophy (...) and philosophy of science on the example of Estonia and proceeding from the University of Tartu is discussed. The author concentrates on the period of approximately 1960–1990, when he himself was engaged in the field, i.e. the time before 1960 is not included. The aim of this paper is not to provide an overview of the individual philosophers in Estonia at the time and their works, but to give a more general description of the philosophy of the Soviet era. The Soviet and the East European philosophy of the time have received rather little critical treatment in literature in English. However, a few general overviews trying to prove that this Soviet and East European philosophical legacy is worth studying have still been published. This paper is focused on the question what kind of philosophical researches it was possible to engage oneself in under the abnormal conditions at the time and whether some starting points and problem issues in these researches might be viable also today. Estonian experience confirms the general conclusion of these authors who, analyzing the legacy of Marxism, have found that although Marxism is nowadays—not to mention how it existed in the Soviet totalitarian regime—mainly not considered a serious philosophy but rather an ideological basis of a failed political doctrine, it has nevertheless quite something to offer when treated in a more depoliticized manner, in the general context of philosophical quests. Normal 0 21 false false false MicrosoftInternetExplorer4 st1:*{behavior:url(#ieooui) } /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;} Teoreetiline ja teadusfilosoofia Nõukogude ajal: mõned märkused Eesti näitel 1960-1990 (Resümee) Vaatluse all on Eesti näitel ja lähtudes Tartu ülikoolist see osa Nõukogudeaegsest filosoofiast, mis vastab umbes teoreetilisele filosoofiale ja teadusfilosoofiale. Autor peatub ajavahemikul umbes 1960–1990, mil ta ka ise tegev oli, st 1960-ndate aastate eelset aega ei käsitleta. Artikli eesmärgiks ei ole ülevaate andmine Eestis sel ajal tegutsenud filosoofidest ja nende töödest, vaid Nõukogudeaegse filosoofia üldisem iseloomustamine. Nõukogude ja selleagset Ida-Euroopa filosoofiat on ingliskeelses kirjanduses üsna vähe kriitiliselt uuritud. Üksikuid ülevaateteoseid, milles on püütud näidata, et see Nõukogude ja Ida-Euroopa filosoofiline pärand väärib uurimist, on siiski ilmunud. Käesolevas artiklis on keskendutud eelkõige küsimusele, mis laadi filosoofilise uurimistööga sai tolle aja ebanormaalsetes tingimustes tegelda ja kas mõned lähtekohad ja probleemipüstitused selles on elujõulised ka veel nüüd. Eesti kogemus kinnitab nende autorite üldist järeldust, kes marksismi pärandit uurides on leidnud, et kuigi marksismi tänapäeval — rääkimata sellest, missugune see oli Nõukogude totalitaarses režiimis — enamasti ei peeta tõsiseltvõetavaks filosoofiaks, vaid pigem läbikukkunud poliitilise õpetuse ideoloogiliseks aluseks, on tal siiski nii mõndagi öelda, kui teda käsitleda depolitiseeritumalt, filosoofiliste otsingute üldises kontekstis. Märksõnad: dialektiline materialism, dialektika, ‘eessõna-marksism’, filosoofia põhiküsimus, Nõukogude filosoofia, ‘ontologistid’ ja ‘epistemologistid’, praktika. (shrink)

Posterior a Hiroshima y Nagasaki se hizo visible hacia dónde conducirían la obtención y uso de conocimientos y creación de artefactos que no se correspondieran a las metas de subsistencia y mejoramiento humanos, emergieron movimientos y estudios relacionados con los impactos sociales de la ciencia y la tecnología. Surgió en ese contexto el campo denominado Ciencia- Tecnología- Sociedad (CTS), centrado en las complejas interrelaciones que la ciencia y la tecnología y la sociedad. El presente texto tiene el objetivo de profundizar (...) en el trabajo de fundamentación teórica a partir del reconocimiento de algunas ideas como: la relación de los seres humanos con sus entornos es socio- tecno- cognitiva, la interacción conocimiento- sociedad es contradictoria, y es preciso reconocer la complejidad del conocimiento CTS. Por último, una nueva propuesta, en las circunstancias actuales un acrónimo más abarcador que el de CTS puede ser SOCITEI (So: sociedad, CI: conocimiento, Te: tecnología, In: innovación). After Hiroshima and Nagasaki the destiny of the obtaining and use of knowledge as well as the creation of artifacts that were not according to the goals of human subsistence and improvement became visible, movements and studies related to the social impacts of science and technology emerged. The field called science - technology - society (CTS) (Spanish acronym) arose in that context, focused on the complex interrelationships in science technology and society. This text aims to deepen the work of theoretical foundation in recognition of some ideas like: the relationship of human beings with their environments is socio-techno - cognitive, interaction knowledge - society is contradictory, and we must recognize the complexity of knowledge CTS. Finally, in the new circumstances a new proposal a more encompassing acronym than the CTS can be SOCITEI (SO: society, CI: knowledge, TE: technology, IN: innovation) (Spanish acronyms). (shrink)

The distinction between historiography and the social sciences.

This paper argues that the medical conception of health as absence of disease is a value-free theoretical notion. Its main elements are biological function and statistical normality, in contrast to various other ideas prominent in the literature on health. Apart from universal environmental injuries, diseases are internal states that depress a functional ability below species-typical levels. Health as freedom from disease is then statistical normality of function, i.e., the ability to perform all typical physiological functions with at least typical (...) efficiency. This conception of health is as value-free as statements of biological function. The view that health is essentially value-laden, held by most writers on the topic, seems to have one of two sources: an assumption that health judgments must be practical judgments about the treatment of patients, or a commitment to "positive" health beyond the absence of disease. I suggest that the assumption is mistaken, the commitment possibly misdescribed. (shrink)

In this article I develop a model of theoretical understanding in science. This is a philosophical theory that specifies the conditions that are both necessary and sufficient for a scientist to satisfy the construction ‘S understands theory T ’. I first consider how this construction is preferable to others, then build a model of the requisite conditions on the basis of examples from elementary physics. I then show how this model of theoretical understanding can be made philosophically (...) robust and provide a more sophisticated account than we see from models of a similar kind developed by those working in the psychology of physics and artificial intelligence. 1 Introduction2 The Explicandum/Analysandum3 Analysis of ‘S understands T’ 4 The Inferential Model4.1 Which problems are we talking about?4.2 Does the solution have to be true?4.3 Does each cycle have to be correct for S to understand T?4.4 What is problem-solving reliability?4.5 Does every specific inference of a cycle have to be correct?4.6 Does each inference have to use a principle that is part of the theory?5 Theoretical Understanding and Conceptual Expertise: Empirical Considerations6 Conclusion: Inferential Model of Scientific Understanding and Our Traditional Problems. (shrink)

A simple explanation of theoreticity says that a term is theoretical if and only if it refers to nonobservational entities. Paradigmatic examples of such entities are electrons, neutrinos, gravitational forces, genes etc. There is yet another explanation of theoreticity: a theoretical term is one whose meaning becomes determined through the axioms of a scientific theory. The meaning of the term ‘force’, for example, is seen to be determined by Newton’s laws of motion and further laws about special forces, (...) such as the law of gravitation. Theoreticity is a property that is commonly applied to both expressions in the language of science, and referents and concepts of such expressions. Objects, relations and functions as well as concepts thereof may thus qualify as theoretical in a derived sense. (shrink)

An introduction to the model-theoretic approach in the philosophy of science is given and it is argued that this program is further enhanced by the introduction of partial structures. It is then shown that this leads to a natural and intuitive account of both "iconic" and mathematical models and of the role of the former in science itself.

Philosophers of science traditionally have ignored the details of scientific research, and the result has often been theories that lack relevance either to science or to philosophy in general. In this volume, leading philosophers of biology discuss the limitations of this tradition and the advantages of the "naturalistic turn"—the idea that the study of science is itself a scientific enterprise and should be conducted accordingly. This innovative book presents candid, informal debates among scholars who examine the benefits (...) and problems of studying science in the same way that scientists study the natural world. Callebaut achieves the effect of face-to-face engagement through separate interviews with participants. Contributors include William Bechtel, Robert Brandon, Richard M. Burian, Donald T. Campbell, Patricia Churchland, Jon Elster, Ronald N. Giere, David L. Hull, Philip Kitcher, Karin Knorr Cetina, Bruno Latour, Richard Levins, Richard C. Lewontin, Elisabeth Lloyd, Helen Longino, Thomas Nickles, Henry C. Plotkin, Robert J. Richards, Alexander Rosenberg, Michael Ruse, Dudley Shapere, Elliott Sober, Ryan Tweney, and William Wimsatt. "Why can't we have both theoretical ecology and natural histories, lovingly done?"—Philip Kitcher "Don't underestimate the arrogance of philosophers!"—Elisabeth Lloyd. (shrink)

This book brings together eleven case studies of inductive risk-the chance that scientific inference is incorrect-that range over a wide variety of scientific contexts and fields. The chapters are designed to illustrate the pervasiveness of inductive risk, assist scientists and policymakers in responding to it, and productively move theoretical discussions of the topic forward.

This article highlights a use of analogies in science that so far has received relatively little systematic discussion: providing reasons for pursuing a model or theory. Using the development of the liquid drop model as a test case, I critically assess two extant pursuit worthiness accounts: that analogies justify pursuit by supporting plausibility arguments and that analogies can serve as a guide to potential theoretical unification. Neither of these fit the liquid drop model case. Instead, I develop an (...) alternative account, based on the idea that analogies facilitate the transfer of a well-understood modelling strategy to a new domain. 1Introduction2Case Study: The Development of the Liquid Drop Model3Plausibility Accounts 3.1Bartha on plausibility and analogical inference3.2Plausibility and the drop analogy4Analogies as a Guide to Unification5Generative Accounts 5.1Analogy-based modelling strategies5.2Did analogies play a merely generative role?6A New Pursuit Worthiness Account of Analogies 6.1Transferring understanding-with through analogies6.2Understanding-with and the liquid drop model7Conclusion. (shrink)

Contents Preface General Introduction 1 | Science and Pseudoscience Introduction Karl Popper, Science: Conjectures and Refutations Thomas S. Kuhn, Logic of Discovery or Psychology of Research? Imre Lakatos, Science and Pseudoscience Paul R. Thagard, Why Astrology Is a Pseudoscience Michael Ruse, Creation-Science Is Not Science Larry Laudan, Commentary: Science at the Bar---Causes for Concern Commentary 2 | Rationality, Objectivity, and Values in Science Introduction Thomas S. Kuhn, The Nature and Necessity of Scientific Revolutions (...) Thomas S. Kuhn, Objectivity, Value Judgment, and Theory Choice Ernan McMullin, Rationality and Paradigm Change in Science Larry Laudan, Kuhn’s Critique of Methodology Helen E. Longino, Values and Objectivity Kathleen Okruhlik, Gender and the Biological Sciences Commentary 3 | The Duhem-Quine Thesis and Underdetermination Introduction Pierre Duhem, Physical Theory and Experiment W. V. Quine, Two Dogmas of Empiricism Donald Gillies, The Duhem Thesis and the Quine Thesis Larry Laudan, Demystifying Underdetermination *Colin Howson and Peter Urbach, The Duhem Problem Commentary 4 | Induction, Prediction, and Evidence Introduction Peter Lipton, Induction Karl Popper, The Problem of Induction Wesley C. Salmon, Rational Prediction Carl G. Hempel, Criteria of Confirmation and Acceptability Peter Achinstein, Explanation v. Prediction: Which Carries More Weight? *Nelson Goodman, The New Riddle of Induction Commentary 5 | Confirmation and Relevance: Bayesian Approaches Introduction Wesley C. Salmon, Rationality and Objectivity in Science *Deborah G. Mayo, A Critique of Salmon’s Bayesian Way *Alan Chalmers, The Bayesian Approach Paul Horwich, Therapeutic Bayesianism Commentary 6 | Models of Explanation Introduction Rudolf Carnap, The Value of Laws: Explanation and Prediction Carl G. Hempel, Two Basic Types of Scientific Explanation Carl G. Hempel, The Thesis of Structural Identity Carl G. Hempel, Inductive-Statistical Explanation Peter Railton, A Deductive-Nomological Model of Probabilistic Explanation *Philip Kitcher, Explanatory Unification *James Woodward, The Manipulability Conception of Causal Explanation Commentary 7 | Laws of Nature Introduction A. J. Ayer, What Is a Law of Nature? Fred I. Dretske, Laws of Nature D. H. Mellor, Necessities and Universals in Natural Laws Nancy Cartwright, Do the Laws of Physics State the Facts? Commentary 8 | Intertheoretic Reduction Introduction Ernest Nagel, Issues in the Logic of Reductive Explanations Paul K. Feyerabend, How to Be a Good Empiricist *Jerry A. Fodor, Special Sciences Philip Kitcher, 1953 and All That: A Tale of Two Sciences Commentary 9 | Empiricism and Scientific Realism Introduction Grover Maxwell, The Ontological Status of Theoretical Entities Bas C. van Fraassen, Arguments Concerning Scientific Realism Alan Musgrave, Realism versus Constructive Empiricism Larry Laudan, A Confutation of Convergent Realism *Juha T. Saatsi, On the Pessimistic Induction and Two Fallacies Ian Hacking, Experimentation and Scientific Realism David B. Resnik, Hacking’s Experimental Realism *Martin Carrier, What Is Right with the Miracle Argument Arthur Fine, The Natural Ontological Attitude Alan Musgrave, NOA’s Ark---Fine for Realism Commentary Glossary Bibliography Name Index Subject Index. (shrink)

Aspects of the controversy concerning the theoretical status of some recent thinking on human cognition are discussed; in particular, the concept of ?unconscious knowledge?, the ?functionalist? analysis of the mental; the problem of the domains of explananda, given the recalcitrant difficulty in providing warrantable and generalizable criteria for individuating components of an organism's ?behavior'; the problem of the polymorphous character of various mental predicates and their misconceived treatment as ?state? or ?process? descriptors; the possible ?over?intellectualizing? of central?nervous?system processes, and (...) the availability of an alternative program for the ?middle?ground? between common?sense reasoning and neuroscientific research in the study of ?mind?. Throughout the discussion, a broadly neo?Wittgensteinian approach is advanced. (shrink)

The doctrine that the character of our perceptual knowledge is plastic, and can vary substantially with the theories embraced by the perceiver, has been criticized in a recent paper by Fodor. His arguments are based on certain experimental facts and theoretical approaches in cognitive psychology. My aim in this paper is threefold: to show that Fodor's views on the impenetrability of perceptual processing do not secure a theory-neutral foundation for knowledge; to show that his views on impenetrability are almost (...) certainly false; and to provide some additional arguments for, and illustrations of, the theoretical character of all observation judgments. (shrink)

Churchland's paper "Perceptual Plasticity and Theoretical Neutrality" offers empirical, semantical and epistemological arguments intended to show that the cognitive impenetrability of perception "does not establish a theory-neutral foundation for knowledge" and that the psychological account of perceptual encapsulation that I set forth in The Modularity of Mind "[is] almost certainly false". The present paper considers these arguments in detail and dismisses them.

Models are of central importance in many scientific contexts. The centrality of models such as the billiard ball model of a gas, the Bohr model of the atom, the MIT bag model of the nucleon, the Gaussian-chain model of a polymer, the Lorenz model of the atmosphere, the Lotka-Volterra model of predator-prey interaction, the double helix model of DNA, agent-based and evolutionary models in the social sciences, or general equilibrium models of markets in their respective domains are cases in point. (...) Scientists spend a great deal of time building, testing, comparing and revising models, and much journal space is dedicated to introducing, applying and interpreting these valuable tools. In short, models are one of the principal instruments of modern science. -/- Philosophers are acknowledging the importance of models with increasing attention and are probing the assorted roles that models play in scientific practice. The result has been an incredible proliferation of model-types in the philosophical literature. Probing models, phenomenological models, computational models, developmental models, explanatory models, impoverished models, testing models, idealized models, theoretical models, scale models, heuristic models, caricature models, didactic models, fantasy models, toy models, imaginary models, mathematical models, substitute models, iconic models, formal models, analogue models and instrumental models are but some of the notions that are used to categorize models. While at first glance this abundance is overwhelming, it can quickly be brought under control by recognizing that these notions pertain to different problems that arise in connection with models. For example, models raise questions in semantics (what is the representational function that models perform?), ontology (what kind of things are models?), epistemology (how do we learn with models?), and, of course, in philosophy of science (how do models relate to theory?; what are the implications of a model based approach to science for the debates over scientific realism, reductionism, explanation and laws of nature?). (shrink)

Many introductions to this field start with the problem of justifying scientific knowledge but Alexander Bird begins by examining the subject matter, or metaphysics, of science. Using topical scientific debates he vividly elucidates what it is for the world to be governed by laws of nature. This idea provides the basis for explanations and causes and leads to a discussion of natural kinds and theoretical entities. With this foundation in place he goes on to consider the epistemological issues (...) of how science arrives at knowledge, favouring a treatment of scientific reasoning based on inference to the best explanation. Drawing on contemporary work in epistemology, Bird argues that scepticism about induction should not be a problem for science and examines the consequences of this position for controversies surrounding the ideas of scientific progress and scientific revolution. Bird's insightful treatment makes Philosophy of Science an ideal text for undergraduate courses. The guides to further reading provided in each chapter help the reader pursue interesting topics and facilitate the use of the book in conjunction with primary sources. (shrink)

Scientific results are often presented as ‘surprising’ as if that is a good thing. Is it? And if so, why? What is the value of surprise in science? Discussions of surprise in science have been limited, but surprise has been used as a way of defending the epistemic privilege of experiments over simulations. The argument is that while experiments can ‘confound’, simulations can merely surprise (Morgan, 2005). Our aim in this paper is to show that the discussion of (...) surprise can be usefully extended to thought experiments and theoretical derivations. We argue that in focusing on these features of scientific practice, we can see that the surprise-confoundment distinction does not fully capture surprise in science. We set out how thought experiments and theoretical derivations can bring about surprises that can be disruptive in a productive way, and we end by exploring how this links with their future fertility. (shrink)

This Editorial summarizes the papers in a Frontiers in Communication Research Topic that looks at science journalism’s mediating role between the production of scientific knowledge and its public uptake. The four papers in the Research Topic consider science communication and journalism from the perspective of philosophy of science and epistemology. Framing the Research Topic is a conceptual analysis of the multiple aims of science communication and an assessment of empirical evidence to date regarding whether these aims (...) are being met. The other papers consider the practices of science journalism, the public reception of science information, and how the process of science is presented in three major mass media outlets. (shrink)

The role played by the concept of genetic coding in biology is discussed. I argue that this concept makes a real contribution to solving a specific problem in cell biology. But attempts to make the idea of genetic coding do theoretical work elsewhere in biology, and in philosophy of biology, are probably mistaken. In particular, the concept of genetic coding should not be used (as it often is) to express a distinction between the traits of whole organisms that are (...) coded for in the genes, and the traits that are not. (shrink)

Rudolf Carnap delivered the hitherto unpublished lecture ‘Theoretical Concepts in Science’ at the meeting of the American Philosophical Association, Pacific Division, at Santa Barbara, California, on 29 December 1959. It was part of a symposium on ‘Carnap’s views on Theoretical Concepts in Science’. In the bibliography that appears in the end of the volume, ‘The Philosophy of Rudolf Carnap’, edited by Paul Arthur Schilpp, a revised version of this address appears to be among Carnap’s forthcoming papers. (...) But although Carnap started to revise it, he never finished the revision,1 and never published the unrevised transcript. Perhaps this is because variants of the approach to theoretical concepts presented for the first time in the Santa Barbara lecture have appeared in other papers of his (cf. the editorial footnotes in Carnap’s lecture). Still, I think, the Santa Barbara address is a little philosophical gem that needs to see the light of day. The document that follows is the unrevised transcript of Carnap’s lecture.2 Its style, then, is that of an oral presentation. I decided to leave it as it is, making only very minor stylistic changes—which, except those related to punctuation, are indicated by curly brackets.3 I think that reading this lecture is a rewarding experience, punctuated as the lecture is with odd remarks and autobiographical points. One can almost envisage.. (shrink)

Metaphysicians often claim that some metaphysical theory should (or shouldn’t) be believed because it exhibits (or fails to exhibit) theoretical virtues such as simplicity. Metaphysicians also sometimes claim that the legitimacy of these sorts of appeals to theoretical virtues are vindicated by the similar appeals to theoretical virtues which scientists make in scientific theory choice. One objection to this methodological move is to claim that the metaphysician misdescribes the role that theoretical virtues play within science. (...) In this paper I defend the metaphysician’s use of theoretical virtues against this objection. (shrink)

Note: Sections at a more advanced level are indicated by ∞. Preface ix Acknowledgments x Introduction 1 I Nicolaus Copernicus: The Loss of Centrality 3 1 Ptolemy and Copernicus 3 2 A Clash of Two Worldviews 4 2.1 The geocentric worldview 5 2.2 Aristotle’s cosmology 5 2.3 Ptolemy’s geocentrism 9 2.4 A philosophical aside: Outlook 14 2.5 Shaking the presuppositions: Some medieval developments 17 3 The Heliocentric Worldview 20 3.1 Nicolaus Copernicus 21 3.2 The explanation of the seasons 25 3.3 (...) Copernicus and the Copernican turn 28 3.3.1 A philosophical aside: From empirical adequacy to theoretical validity 32 3.4 Copernicus consolidated: Kepler and Galileo 32 4 Copernicus was not a Scientifi c Revolutionary 37 4.1 The Copernican method 39 4.2 The relativity of motion 42 5 The Transition to Newton 43 5.1 On hypotheses 45 6 Some Philosophical Lessons 47 6.1 The loss of centrality 48 6.2 Was Copernicus a realist? 51 6.2.1 Lessons for instrumentalism and realism 52 6.3 Modern realism 55 6.4 The underdetermination of theories by evidence 58 6.4.1 The Duhem--Quine thesis 59 ∞ 6.4.2 The power of constraints 61 ∞ 6.5 Theories, models, and laws 64 ∞ 6.5.1 Theories and models 64 ∞ 6.5.2 Laws of nature, laws of science 68 ∞ 6.5.3 Philosophical views of laws 69 ∞ 6.5.3.1 The inference view 69 ∞ 6.5.3.2 The regularity view 70 ∞ 6.5.3.3 The necessitarian view 73 ∞ 6.5.3.4 The structural view 75 7 Copernicus and Scientifi c Revolutions 77 8 The Anthropic Principle: A Reversal of the Copernican Turn? 83 Reading List 87 Essay Questions 91 II Charles Darwin: The Loss of Rational Design 93 1 Darwin and Copernicus 93 2 Views of Organic Life 94 2.1 Teleology 94 2.1.1 The Great Chain of Being 97 2.1.2 Design arguments 99 2.1.3 Jean Baptiste Lamarck 104 3 Fossil Discoveries 106 3.1 Of bones and skeletons 108 3.2 The antiquity of man 110 4 Darwin’s Revolution 112 4.1 The Darwinian view of life 114 4.1.1 Principles of evolution 116 4.2 The descent of man 119 5 Philosophical Matters 124 5.1 Philosophical presuppositions: Mechanical worldview, determinism, materialism 125 5.2 From biology to the philosophy of mind 129 5.2.1 Empiricism 129 5.2.2 Philosophy of mind 132 5.2.3 Emergent minds 134 5.3 The loss of rational design 136 5.4 Intelligent design 139 6 A Question of Method 143 6.1 Darwinian inferences 143 6.2 Philosophical empiricism 147 6.3 Some principles of elimination 149 ∞ 6.4 Essential features of eliminative induction 150 6.5 Falsifi ability or testability? 155 6.6 Explanation and prediction 157 ∞ 6.7 Some models of scientifi c explanation 159 ∞ 6.7.1 Hempel’s models 160 ∞ 6.7.2 Functional models 161 ∞ 6.7.3 Causal models 163 6.7.3.1 A counterfactual-interventionist account 163 6.7.3.2 A conditional model of causation 165 ∞ 6.7.4 Structural explanations 169 6.8 A brief return to realism 172 6.9 Darwin and scientifi c revolutions 174 6.9.1 Philosophical consequences 176 Reading List 177 Essay Questions 183 III Sigmund Freud: The Loss of Transparency 185 1 Copernicus, Darwin, and Freud 185 2 Some Views of Humankind 187 2.1 Enlightenment views of human nature 188 2.2 Nietzsche’s view of human nature 190 3 Scientism and the Freudian Model of Personality 191 3.1 Freud’s model of the mind 192 3.1.1 A summary of psychoanalytic theory 192 3.1.2 Analogy with physics 195 3.1.3 Freud as an Enlightenment thinker 200 3.1.4 The scientifi c status of the Freudian model 202 3.1.4.1 Freud’s methods 202 ∞ 3.1.4.2 The method of eliminative induction, again 205 3.1.5 Freud stands between the empirical and the hermeneutic models 208 3.1.6 The role of mind in the social world 209 4 The Social Sciences beyond Freud 210 4.1 Two standard models of the social sciences -- some history 210 4.1.1 The naturalistic model 211 4.1.2 The hermeneutic model 213 4.2 Essential features of social science models 218 4.2.1 Essential features of the naturalistic model 218 4.2.2 Essential features of the hermeneutic model 221 4.3 Questions of methodology 224 ∞ 4.3.1 What is Verstehen? 225 ∞ 4.3.2 Weber’s methodology of ideal types 229 ∞ 4.3.3 Verstehen and objectivity 234 ∞ 4.4 Causation in the social sciences 236 ∞ 4.4.1 Weber on causation 236 ∞ 4.4.2 On the existence of social laws 239 4.4.3 Explanation and prediction in the social sciences 242 4.4.4 Underdetermination 243 4.4.5 Realism and relativism 244 ∞ 4.4.6 Reductionism and functionalism 248 5 Evolution and the Social Sciences 253 5.1 Sociobiology -- the fourth revolution? 254 5.2 Evolutionary psychology 257 6 Freud and Revolutions in Thought 261 6.1 Revolutions in thought vs. revolutions in science 263 Reading List 263 Essay Questions 269 Name Index 271 Subject Index 274. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Ignorance, Knowledge, and Omniscience: At and Beyond the Limits of Faith and Reason after Shinran:Reflections on The Boundaries of Knowledge in Buddhism, Christianity, and Science, with Special Attention to Dennis HirotaAmos YongAlthough published in the series Religion, Theologie und Naturwissenschaft, Paul Numrich's edited volume is really about epistemology in religion and science, in particular about human knowing in Buddhist and Christian traditions shaped by the world of (...) science on the one hand, and how such knowing might also inform scientific knowledge on the other hand.1 The panoply of positions is presented by both Buddhist and Christian thinkers.From the Buddhist side, the following arguments are sketched:• that religion and science are complementary modes of knowing and that "understanding the true nature of the physical world" opens up "the way to enlightenment" (Trinh Xuan Thuan).2• that Buddhism is both continuous with (and hence deserving of serious consideration amidst) the epistemic discourses of modernity in many respects and yet also discontinuous with (and hence capable for critically interrogating) modernity's epistemology in other respects as well (David L. McMahan).3• that a Shin Buddhist approach to human knowledge—which in this chapter is brought into dialogue with Martin Heidegger's (1889-1976) notion of truth—opens up to a Kuhnian philosophy of science that emphasizes how paradigmatic shifts occur when new perspectives replace older frameworks (Dennis Hirota).4• that the questions raised by theoretical and quantum physics provide a scientific framework for discussing fundamental epistemological, ontological, and metaphysical questions that Buddhists and Christians might otherwise disagree about (Mark T. Unno).5From the Christian side, the following theses are explored: [End Page 201]• that boundary constraints confront not only working scientists but also Buddhists and Christians, and that these constraints can thus serve as a springboard for a science and religion "trilogue" (Paul O. Ingram).6• that the mystery of creative becoming (God, in traditional Christian terms) is the dynamic backdrop to the ongoing human quest for knowledge (Gordon D. Kaufman).7• that it is at the boundaries of knowledge that genuine creativity occurs (not only scientific creativity but also theological creativity emerges, i.e., the apophatic tradition of Eastern Orthodoxy or the theory of coincidentia oppositorum of Nicholas of Cusa [1401-1464]), and where, as a result of such creative approaches, distinct fields of inquiry open up and different domains of knowledge emerge (Antje Jackelén).8• that theological discourse is paradoxical precisely because such discourse marks the fluid boundaries demarcating sense and nonsense (Tom Christenson).9And, befitting a volume on the encounter between religion (i.e., Buddhism and Christianity) and science, there is a concluding chapter from a physicist on the limits of scientific knowledge that both is encouraged by the gains made by science (presuming a critical realist approach to science's modeling of reality) and yet also is honest about there being much more to learn on small and big questions (John R. Albright).10The foregoing summaries do not do justice to the complexity and sophistication of the chapters in the book. However, they provide a broader context for my interactions with Dennis Hirota's chapter on Shinran's (1173-1263) epistemology and its implications for both religious and scientific knowledge. As an evangelical Christian, I am particularly intrigued by the challenges confronting a Shin Buddhist approach to the sciences, even as I am hopeful that such a consideration will precipitate creative insights both for the Buddhist-Christian encounter and for the religion-science dialogue. I am all the more motivated since I have long been convinced that the religion-science dialogue has been dominated by generically religious approaches and that it is time for more particularistic or even confessional positions to be registered in the discussion.11 I am optimistic that the specificity of the Shin tradition will provide both complementary and contrasting perspectives to the contemporary Buddhist encounter with science that has so far been dominated by the broadly Tibetan approaches of His Holiness the Fourteenth Dalai Lama (1935-) and those in his circle of dialogue partners,12 and that this will in turn open up new trajectories—even initiate new paradigms, as Hirota suggests—for the Buddhist... (shrink)

The medical specialty of psychiatry should possess a basic science in which pathologies are considered deviations from normal brain physiology. Historically, psychoanalytic pathogenesis was considered separately from brain physiology. It was not scientific because observations could not be refuted. Countering this, Eli Robins's legacy stemmed partly from his having been damaged by a psychoanalyst. It eschewed pathogenesis. Attempting to integrate psychiatry with medicine more generally, Robins and colleagues refocused on empiricism, although they acknowledged the brain's centrality. Here I hold (...) that the term biology used in the context of psychiatry should broadly encompass social facets of organismal function. The term sociophysiology may best describe the central basic science of psychiatry because it alludes to brain functions used for the person's social realm. Disruptions of such functions result in deviant behaviors and unpleasant feelings which psychiatrists diagnose and treat. Future study encompassing top-down and bottom-up research should include genome-neural-behavioral analyses. (shrink)

Traditionally, interdisciplinarity has been taken to require conceptual or theoretical integration. However, in the emerging field of sustainability science this kind of integration is often lacking. Indeed sometimes it is regarded as an obstacle to interdisciplinarity. Drawing on examples from sustainability science, we show that problem-feeding, i.e. the transfer of problems, is a common and fruitful-looking way of connecting disparate disciplines and establishing interdisciplinarity. We identify two species of problem-feeding: unilateral and bilateral. Which of these is at (...) issue depends on whether solutions to the problem are fed back to the discipline in which the problem originated. We suggest that there is an interesting difference between the problem-feeding approach to interdisciplinarity and the traditional integrative perspective suggested by among others Erich Jantsch and his colleagues. The interdisciplinarity resulting from problem-feeding between researchers can be local and temporary and does not require collaboration between proximate disciplines. By contrast, to make good sense of traditional integrative interdisciplinarity we must arguably associate it with a longer-term, global form of close, interdisciplinary collaboration. (shrink)

Steen Brock paints a cross-disciplinary picture of the philosophical and scientific background for the rise of the quantum theory. He accounts for the unity of Kantian metaphysics of Nature, the Helmholtzian principles, and the Hamiltonian methods of modern pre-quantum physics. Brock shows how Planck's vision of a generalization of classical physics implies that the original quantum mechanics of Heisenberg can be regarded as a successful attempt to maintain this modern unity of physics.However, for Niels Bohr, the unity of science (...) and metaphysics did not end in the world of physics. The development of quantum physics had general implications both for other sciences and for various philosophical issues. Brock discusses these matters with respect to recent topics within the philosophy of science and major interpretations of Bohr's ideas. The author invites the reader to follow a long andwinding route of thought which, in the end, culminates in Bohr's ideas of complementarity, culture and Spirit. (shrink)