How do we go about weighing evidence, testing hypotheses, and making inferences? According to the model of _Inference to the Best Explanation_, we work out what to infer from the evidence by thinking about what would actually explain that evidence, and we take the ability of a hypothesis to explain the evidence as a sign that the hypothesis is correct. In _Inference to the Best Explanation_, Peter Lipton gives this important and influential idea the development and assessment it deserves. The (...) second edition has been substantially enlarged and reworked, with a new chapter on the relationship between explanation and Bayesianism, and an extension and defence of the account of contrastive explanation. It also includes an expanded defence of the claims that our inferences really are guided by diverse explanatory considerations, and that this pattern of inference can take us towards the truth. This edition of _Inference to the Best Explanation_ has also been updated throughout and includes a new bibliography. (shrink)

Many philosophers believe that the traditional problem of our knowledge of the external world was dissolved by Wittgestein and others. They argue that it was not really a problem - just a linguistic `confusion' that did not actually require a solution. Bruce Aune argues that they are wrong. He casts doubt on the generally accepted reasons for putting the problem aside and proposes an entirely new approach. By considering the history of the problem from Descartes to Kant, Aune shows that (...) analogous arguments create difficulties for the contemporary philosophical consensus. He makes it clear that the problem remains acute, particualarly for our understanding of scientific evidence. The solution he proposes draws upon contemporary philosophy of science and probability theory. (shrink)

Reconstructing the Past seeks to clarify and help resolve the vexing methodological issues that arise when biologists try to answer such questions as whether human beings are more closely related to chimps than they are to gorillas. It explores the case for considering the philosophical idea of simplicity/parsimony as a useful principle for evaluating taxonomic theories of evolutionary relationships. For the past two decades, evolutionists have been vigorously debating the appropriate methods that should be used in systematics, the field that (...) aims at reconstructing phylogenetic relationships among species. This debate over phylogenetic inference, Elliott Sober observes, raises broader questions of hypothesis testing and theory evaluation that run head on into long standing issues concerning simplicity/parsimony in the philosophy of science. Sober treats the problem of phylogenetic inference as a detailed case study in which the philosophical idea of simplicity/parsimony can be tested as a principle of theory evaluation. Bringing together philosophy and biology, as well as statistics, Sober builds a general framework for understanding the circumstances in which parsimony makes sense as a tool of phylogenetic inference. Along the way he provides a detailed critique of parsimony in the biological literature, exploring the strengths and limitations of both statistical and nonstatistical cladistic arguments. (shrink)

v. 1. Nominalism and realism.--v. 2. A theory of universals.

Chapter INTRODUCTION i. The Problem Why suppose that sense perception is, by and large, an accurate source of information about the physical environment? ...

1 Knowledge and Justification This book is an investigation of one central problem which arises in the attempt to give a philosophical account of empirical ...

In his new foreword to this edition, Hilary Putnam forcefully rejects these nativist claims.

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)

In a situation in which several explanations compete, is the one that is better qua explanation also the one we should regard as the more likely to be true? Realists usually answer in the affirmative. They then go on to argue that since realism provides the best explanation for the success of science, realism can be inferred to. Nonrealists, on the other hand, answer the above question in the negative, thereby renouncing the inference to realism. In this paper I separate (...) the two issues. In the first section it is argued that a rationale can be provided for the inference to the best explanation; in the second, that this rationale cannot justify an inference to realism. The defence of the inference rests on the claim that our standards of explanatory power are subject to critical examination, which, in turn, should be informed by empirical considerations. By means of a comparison of the realist's explanation for the success of science with that of conventionalism and instrumentalism it is then shown that realism does not offer a superior explanation and should not, therefore, be inferred to. (shrink)

Toward theory a homuncular of believing For years and years, philosophers took thoughts and beliefs to be modifications of incorporeal Cartesian egos. ...

This remarkably clear and comprehensive account of empirical knowledge will be valuable to all students of epistemology and philosophy. The author begins from an explanationist analysis of knowing—a belief counts as knowledge if, and only if, its truth enters into the best explanation for its being held. Defending common sense and scientific realism within the explanationist framework, Alan Goldman provides a new foundational approach to justification. The view that emerges is broadly empiricist, counteracting the recently dominant trend that rejects that (...) framework entirely. Topics treated include the Gettier problem, the nature of explanation and inductive inference, the justification of foundations for knowledge in terms of inference to the best explanation, the possibility of realist interpretations of contemporary science, reference, and the relations between empirical psychology and epistemology. Professor Goldman defends the need for a foundational theory of justification and presents a version that refutes standard criticisms of that doctrine. His defense of realism takes into account contemporary advances in semantics and philosophy of science. It attempts to clarify the kinds of skeptical argument the philosopher must take seriously, without succumbing to them. While recent epistemology has tended to dismiss the traditional foundational approach, it has not provided a suitable alternative. Goldman breaks new ground by adapting that approach within his explanationist, inductive theory. (shrink)