Edited by a leading exponent of the school, this book offers--in the words of the movement's founders--logical positivism's revolutionary theories on meaning and metaphysics, the nature of logic and mathematics, the foundations of knowledge ...

Every Thing Must Go aruges that the only kind of metaphysics that can contribute to objective knowledge is one based specifically on contemporary science as it ...

Sober has reconstructed the biological design argument in the framework of likelihoodism, purporting to demonstrate that it is defective for intrinsic reasons. We argue that Sober’s restriction on the introduction of auxiliary hypotheses is too restrictive, as it commits him to rejecting types of everyday reasoning that are clearly valid. Our account shows that the design argument fails, not because it is intrinsically untestable but because it clashes with the empirical evidence and fails to satisfy certain theoretical desiderata (in particular, (...) unification). Likewise, Sober’s critique of the arguments from imperfections and from evil against design is off the mark. (shrink)

This book argues that the only kind of metaphysics that can contribute to objective knowledge is one based specifically on contemporary science as it really is, and not on philosophers' a priori intuitions, common sense, or simplifications of science. In addition to showing how recent metaphysics has drifted away from connection with all other serious scholarly inquiry as a result of not heeding this restriction, this book demonstrates how to build a metaphysics compatible with current fundamental physics, which, when combined (...) with metaphysics of the special sciences, can be used to unify physics with the other sciences without reducing these sciences to physics itself. Taking science metaphysically seriously, this book argues, means that metaphysicians must abandon the picture of the world as composed of self-subsistent individual objects, and the paradigm of causation as the collision of such objects. The text assesses the role of information theory and complex systems theory in attempts to explain the relationship between the special sciences and physics, treading a middle road between the grand synthesis of thermodynamics and information, and eliminativism about information. The consequences of the books' metaphysical theory for central issues in the philosophy of science are explored, including the implications for the realism versus empiricism debate, the role of causation in scientific explanations, the nature of causation and laws, the status of abstract and virtual objects, and the objective reality of natural kinds. (shrink)

In Systematicity, Paul Hoyningen-Huene answers the question "What is science?" by proposing that scientific knowledge is primarily distinguished from other forms of knowledge, especially everyday knowledge, by being more systematic. "Science" is here understood in the broadest possible sense, encompassing not only the natural sciences but also mathematics, the social sciences, and the humanities. The author develops his thesis in nine dimensions in which it is claimed that science is more systematic than other forms of knowledge: regarding descriptions, explanations, predictions, (...) the defense of knowledge claims, critical discourse, epistemic connectedness, an ideal of completeness, knowledge generation, and the representation of knowledge. He compares his view with positions on the question held by philosophers from Aristotle to Nicholas Rescher. The book concludes with an exploration of some consequences of Hoyningen-Huene's view concerning the genesis and dynamics of science, the relationship of science and common sense, normative implications of the thesis, and the demarcation criterion between science and pseudo-science. (shrink)

Introduction: Science and Common Sense Long before the beginnings of modern civilization, men ac- quired vast funds of information about their environment. ...

Sweeping in scope, penetrating in analysis, and generously illustrated with examples from the history of science, this new and original approach to familiar questions about scientific evidence and method tackles vital questions about science and its place in society. Avoiding the twin pitfalls of scientism and cynicism, noted philosopher Susan Haack argues that, fallible and flawed as they are, the natural sciences have been among the most successful of human enterprises-valuable not only for the vast, interlocking body of knowledge they (...) have discovered, and not only for the technological advances that have improved our lives, but as a manifestation of the human talent for inquiry at its imperfect but sometimes remarkable best. This wide-ranging, trenchant, and illuminating book explores the complexities of scientific evidence, and the multifarious ways in which the sciences have refined and amplified the methods of everyday empirical inquiry; articulates the ways in which the social sciences are like the natural sciences, and the ways in which they are different; disentangles the confusions of radical rhetoricians and cynical sociologists of science; exposes the evasions of apologists for religious resistance to scientific advances; weighs the benefits and the dangers of technology; tracks the efforts of the legal system to make the best use of scientific testimony; and tackles predictions of the eventual culmination, or annihilation, of the scientific enterprise. Writing with verve and wry humor, in a witty, direct, and accessible style, Haack takes readers beyond the "Science Wars" to a balanced understanding of the value, and the limitations, of the scientific enterprise. (shrink)

_Conjectures and Refutations_ is one of Karl Popper's most wide-ranging and popular works, notable not only for its acute insight into the way scientific knowledge grows, but also for applying those insights to politics and to history. It provides one of the clearest and most accessible statements of the fundamental idea that guided his work: not only our knowledge, but our aims and our standards, grow through an unending process of trial and error.

_Conjectures and Refutations_ is one of Karl Popper's most wide-ranging and popular works, notable not only for its acute insight into the way scientific knowledge grows, but also for applying those insights to politics and to history. It provides one of the clearest and most accessible statements of the fundamental idea that guided his work: not only our knowledge, but our aims and our standards, grow through an unending process of trial and error.

The way in which knowledge progresses, and especially our scientific knowledge, is by unjustified anticipations, by guesses, by tentative solutions to our problems, by conjectures. These conjectures are controlled by criticism: that is, by attempted refutations, which include severely critical tests. They may survive these tests; but they can never be positively justified: they can neither be established as certainly true nor even as 'probable'. Criticism of our conjectures is of decisive importance: by bringing out our mistakes it makes us (...) understand the difficulties of the problems which we try to solve. This is how we become better acquainted with our problem, and able to propose more mature solutions: the very refutation of a theory - that is, of a tentative solution to our problem - is always a step forward that takes us nearer the truth. And this is how we can learn from our mistakes. As we learn from our mistakes our knowledge grows, even though we may never know - that is, know for certain. Since our knowledge can grow, there can be no reason here for despair of reason. And since we can never know for certain, the can be no authority here for any claim to authority, for conceit over our knowledge, or for smugness. The essays and lectures of which this book is composed apply this thesis to many topics, ranging from problems of the philosophy and history of the physical and social sciences to historical and political problems. (shrink)

The question of how to distinguish between science and non-science, the so-called ‘demarcation problem’, is one of the most high-profile, perennial, and intractable issues in the philosophy of science. It is not merely a philosophical issue, however, since it has a significant bearing on practical policy questions and practical decisions. This essay develops a pragmatic approach to the demarcation problem: it argues that while there are some core principles that we can use in distinguishing between science and non-science, particular judgments (...) and decisions about something's scientific status depend, in part, on practical goals and concerns. (shrink)

Normative naturalism is a view about the status of epistemology and philosophy of science; it is a meta-epistemology. It maintains that epistemology can both discharge its traditional normative role and nonetheless claim a sensitivity to empirical evidence. The first sections of this essay set out the central tenets of normative naturalism, both in its epistemic and its axiological dimensions; later sections respond to criticisms of that species of naturalism from Gerald Doppelt, Jarrett Leplin and Alex Rosenberg.

This paper addresses the question of what the nature of science is. I will first make a few preliminary historical and systematic remarks. Next, I shall give an answer to the question that has to be qualified, clarified and justified. Finally, I will compare my answer with alternative answers and draw consequences for the demarcation problem.

In Systematicity, Paul Hoyningen-Huene answers the question "What is science?" by proposing that scientific knowledge is primarily distinguished from other forms of knowledge, especially everyday knowledge, by being more systematic. "Science" is here understood in the broadest possible sense, encompassing not only the natural sciences but also mathematics, the social sciences, and the humanities. The author develops his thesis in nine dimensions in which it is claimed that science is more systematic than other forms of knowledge: regarding descriptions, explanations, predictions, (...) the defense of knowledge claims, critical discourse, epistemic connectedness, an ideal of completeness, knowledge generation, and the representation of knowledge. He compares his view with positions on the question held by philosophers from Aristotle to Nicholas Rescher. The book concludes with an exploration of some consequences of Hoyningen-Huene's view concerning the genesis and dynamics of science, the relationship of science and common sense, normative implications of the thesis, and the demarcation criterion between science and pseudo-science. (shrink)

In this article, I reply to the preceding articles by Naomi Oreskes, Chrysostomos Mantzavinos, Brad Wray, Sarah Green, Alexander Bird, and Timothy Lyons. These articles contain a number of objections and suggestions concerning systematicity theory, as developed in my book ystematicity: The Nature of Science.

First published in 2002. Routledge is an imprint of Taylor & Francis, an informa company.

By applying research in artificial intelligence to problems in the philosophy of science, Paul Thagard develops an exciting new approach to the study of scientific reasoning. This approach uses computational ideas to shed light on how scientific theories are discovered, evaluated, and used in explanations. Thagard describes a detailed computational model of problem solving and discovery that provides a conceptually rich yet rigorous alternative to accounts of scientific knowledge based on formal logic, and he uses it to illuminate such topics (...) as the nature of concepts, hypothesis formation, analogy, and theory justification. (shrink)

Entries cover the major branches and doctrines of modern philosophy.

Using astrology as a case study, this paper attempts to establish a criterion for demarcating science from pseudoscience. Numerous reasons for considering astrology to be a pseudoscience are evaluated and rejected; verifiability and falsifiability are briefly discussed. A theory is said to be pseudoscientific if and only if (1) it has been less progressive than alternative theories over a long period of time, and faces many unsolved problems, but (2) the community of practitioners makes little attempt to develop the theory (...) towards solutions of the problems, shows no concern for attempts to evaluate the theory in relation to others, and is selective in considering confirmations and disconfirmations. This criterion has the interesting consequence that a theory can be scientific at one time but pseudoscientific at another. (shrink)

Aristotle's observation that all human beings by nature desire to know aptly captures the spirit of "intellectualist" research in psychology and anthropology. Intellectualists in these fields agree that humans' have fundamental explanatory interests (which reflect their rationality) and that the idioms in which their explanations are couched can differ considerably across places and times (both historical and developmental). Intellectualists in developmental psychology (e.g., Gopnik and Meltzoff, 1997) maintain that young children's conceptual structures, like those of scientists, are theories and that (...) their conceptual development--like the development of science--is a process of theory formation and change. They speculate that our explanatory preoccupations result, at least in part, from a natural drive to develop theories. Intellectualists in the anthropology of religion (e.g., Horton, 1970 and 1993) hold that, although it may do many other things as well, religion is primarily concerned with providing explanatory theories. They maintain that religion and science have the same explanatory goals; only the idioms of their explanations differ. The connections between the concern for explanation, the pursuit of science, the persistence of religion, and the cognitive processes underlying each clearly merit further examination. By considering both their cultural manifestations and their cognitive foundations, I hope to clarify not only how science and religion are related but some of the ways their explanatory projects differ. I shall argue that, despite their centuries' old antagonisms, no development in science will ever seriously threaten the persistence of religion or the forms of explanation religion employs or the emergence of new religions. (I strongly suspect that science will never seriously threaten the persistence of particular religions either, but I only aim to defend the weaker, collective claim here.) In this paper's fourth section I shall show that religion and its characteristic forms of explanation 1 are a natural outgrowth of the character and content of human association and cognition.. (shrink)

A critical analysis of twenty-one demarcation criteria is carried out, obtaining as a result a demarcating tool that allows appropriate screening between science and pseudoscience. After an introduction that will emphasize the scientific and social relevance of the demarcation problem and the need of an adequate approach to face it, the specific problems of multicriterial attempts will be remarked, such as their lack of theoretical foundations and the presence of dispensable and contradictory items. On the basis of this first analysis, (...) a metacriterion, the necessary general requirements for a demarcation criterion, will be established. The data analysis will show a lack of progress among demarcation criteria from 1964 to date, and will provide a demarcation criterion partially based on the items with greater support. (shrink)

The “demarcation problem,” the issue of how to separate science from pseu- doscience, has been around since fall 1919—at least according to Karl Pop- per’s (1957) recollection of when he first started thinking about it. In Popper’s mind, the demarcation problem was intimately linked with one of the most vexing issues in philosophy of science, David Hume’s problem of induction (Vickers 2010) and, in particular, Hume’s contention that induction cannot be logically justified by appealing to the fact that “it works,” (...) as that in itself is an inductive argument, thereby potentially plunging the philosopher straight into the abyss of a viciously circular argument. (shrink)

The idea of family resemblance, when applied to science, can provide a powerful account of the nature of science (NOS). In this chapter we develop such an account by taking into consideration the consensus on NOS that emerged in the science education literature in the last decade or so. According to the family resemblance approach, the nature of science can be systematically and comprehensively characterised in terms of a number of science categories which exhibit strong similarities and overlaps amongst diverse (...) scientific disciplines. We then discuss the virtues of this approach and make some suggestions as to how one can go about teaching it in the classroom. (shrink)