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Handling uncertainty in artificial intelligence, and the Bayesian controversy

By D.A. Gillies

Abstract

Book description: The articles in this volume deal with the main inferential methods that can be applied to different kinds of experimental evidence. These contributions - accompanied with critical comments - by renowned scholars in the field of philosophy of science aim at removing the traditional opposition between inductivists and deductivists. They explore the different methods of explanation and justification in the sciences in different contexts and with different objectives. The volume contains contributions on methods of the sciences, especially on induction, deduction, abduction, laws, probability and explanation, ranging from logic, mathematics, natural to the social sciences. They present a highly topical pluralist re-evaluation of methodological and foundational procedures and reasoning, e.g. focusing in Bayesianism and Artificial Intelligence. They document the second international conference in Vienna on "Induction and Deduction in the Sciences" as part of the Scientific Network on "Historical and Contemporary Perspectives of Philosophy of Science in Europe", funded by the European Science Foundation (ESF)

Publisher: Kluwer/ Springer
Year: 2004
DOI identifier: 10.1007/978-1-4020-2196-1_14
OAI identifier: oai:eprints.ucl.ac.uk.OAI2:16378
Provided by: UCL Discovery

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