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)

"A gem of enlightenment.... One rejoices in Bronowski's dedication to the identity of acts of creativity and of imagination, whether in Blake or Yeats or Einstein or Heisenberg."--Kirkus Reviews "According to Bronowski, our account of the world is dictated by our biology: how we perceive, imagine, symbolize, etc. He proposes to explain how we receive and translate our experience of the world so that we achieve knowledge. He examines the mechanisms of our perception; the origin and nature of natural language; (...) formal systems and scientific discourse; and how science, as a systematic attempt to establish closed systems one after another, progresses by exploring its own errors and new but unforeseen connections.... A delightful look at the inquiring mind."--Library Journal "Eminently enjoyable to read, with a good story or 'bon mot' on every page."--Nature "A well-written and brilliantly presented defense of the scientific enterprise which could be especially valuable to scientists and to teachers of science at all levels."--AAAS Science Books & Films Contents 1. The Mind as an Instrument for Understanding 2. The Evolution and Power of Symbolic Language 3. Knowledge as Algorithm and as Metaphor 4. The Laws of Nature and the Nature of Laws 5. Error, Progress, and the Concept of Time 6. Law and Individual Responsibility. (shrink)

This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and (...) made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. (shrink)

Thomas S. Kuhn's classic book is now available with a new index.

This paper discusses the nature and the status of inference to the best explanation. We outline the foundational role given IBE by its defenders and the arguments of critics who deny it any place at all ; argue that, on the two main conceptions of explanation, IBE cannot be a foundational inference rule ; sketch an account of IBE that makes it contextual and dependent on substantive empirical assumptions, much as simplicity seems to be ; show how that account avoids (...) the critics ' complaints and leaves IBE an important role ; and sketch how our account can clarify debates over IBE in arguments for scientific realism. (shrink)

Charles S. Peirce argued that, besides deduction and induction, there is a third mode of inference which he called " hypothesis " or " abduction." He characterized abduction as reasoning " from effect to cause," and as " the operation of adopting an explanatory hypothesis." Peirce ' s ideas about abduction, which are related also to historically earlier accounts of heuristic reasoning, have been seen as providing a logic of scientific discovery. Alternatively, abduction is interpreted as giving reasons for pursuing (...) a hypothesis. Inference to the best explanation has also been regarded as an important mode of justification, both in everyday life, detective stories, and science. In particular, scientific realism has been defended by an abductive nomiracle argument, while the critics of realism have attempted to show that this appeal to abduction is question - begging, circular, or incoherent. This paper approaches these issues by distinguishing weaker and stronger forms of abduction, and by showing how these types of inferences can be given Peircean and Bayesian probabilistic reconstructions. (shrink)

A Nobel Prize-winning scientist and a leading brain researcher show how the brain creates conscious experience.

Introducing the ontology of theory choice -/- Economists choose theories and they choose ways of pursuing theories, and they leave others unchosen. Why do economists choose the way they do? How should economists choose? What are the objectives and what are the constraints? What should they be? The questions are both descriptive and prescriptive. -/- There are two broad classes of “criteria of choice” that have been somewhat systematically considered in the recent literature on economic methodology: (1) Empirical criteria. There (...) are several possible ways of incorporating empirical criteria in one's theory of science. The respective methodology of theory assessment may be static or dynamic, it may be deductivist or inductivist, it may include various ideas of what constitutes empirical evidence, and so on. What they all share is the general idea that scientific theories are, or are to be, checked against empirical evidence according to some rules, and that this determines the choice of theory. (2) Social criteria. Again, there are several options. The social criteria may be related to the social interests of scientists or larger social collectives, they may be based on the persuasiveness and tradition-boundedness of theories, they may involve social or moral norms, they may be derived from various costs and benefits of holding a theory in a given research community, and so on. If they involve empirical data, it is the social aspects of the data that matter. What all these views share is that scientific theories are taken to have social attributes (functions, consequences) that play or should play a major role in theory choice. (shrink)

Seventeen philosophical thinkers ask: What is creativity? What are the criteria of creativity? Should we assign logical priority to creative persons, processes, or products? How do various forms of creativity relate to different domains of human activity?

In this paper we will show Peirce’s distinction between deduction, induction and abduction. The aim of the paper is to show how Peirce changed his views on the subject, from an understanding of deduction, induction and hypotheses as types of reasoning to understanding them as stages of inquiry very tightly connected. In order to get a better understanding of Peirce’s originality on this, we show Peirce’s distinctions between qualitative and quantitative induction and between theorematical and corollarial deduction, passing then to (...) the distinction between mathematics and logic. In the end, we propose a sketch of a comparison between Peirce and Whitehead concerning the two thinkers’ view of mathematics, hoping that this could point to further inquiries. (shrink)

Discussions of Karl Popper's falsificationist philosophy of science appear regularly in the recent literature on economic methodology. In this literature, there seem to be two fundamental points of agreement about Popper. First, most economists take Popper's falsificationist method of bold conjecture and severe test to be the correct characterization of scientific conduct in the physical sciences. Second, most economists admit that economic theory fails miserably when judged by these same falsificationist standards. As Latsis states, “the development of economic analysis would (...) look a dismal affair through falsificationist spectacles.”. (shrink)

We discuss in this paper the scope of abduction in Economics. The literature on this type of inference shows that it can be interpreted in different ways, according to the role and nature of its outcome. We present a formal model that allows to capture these various meanings in different economic contexts.

This paper formulates what I think is the basic problem of any attempt to characterise the abstract structure of scientific method, viz., that it has to satisfy two conflicting desiderata: it should be ampliative (contentincreasing) and it should confer epistemic warrant on its outcomes. Then, after two extreme solutions to the problem of the method, viz., Enumerative Induction and the Method of Hypothesis, are examined, the paper argues that abduction, suitably understood as Inference to the Best Explanation, offers the best (...) description of scientific method and solves the foregoing problem in the best way: it strikes the best balance between ampliation and epistemic warrant. (shrink)