experimental, developmental, and computational approaches /
edited by Aidan Feeney, Evan Heit.
New York :
Cambridge University Press,
2007.
1 online resource (xix, 355 pages) :
illustrations
Includes bibliographical references and index.
Preface / Aidan Feeney and Evan Heit -- What is induction and why study it? / Evan Heit -- The development of inductive reasoning / Brett K. Hayes -- Interpreting asymmetries of projection in children's inductive reasoning / Douglas l. Medin and Sandra Waxman -- Property generalization as causal reasoning / Bob Rehder -- Availability in category-based induction / Patrick Shafto, John D. Coley and Anna Vitkin -- From similarity to chance sergey blok / Daniel Osherson and Douglas L. Medin -- Theory-based bayesian models of inductive reasoning / Joshua B. Tenenbaum, Charles Spence & Patrick Shafto -- Use of single or multiple categories in category-based induction / Gregory L. Murphy and Brian H. Ross -- Abductive inference : from philosophical analysis to neural mechanisms / Paul Thagard -- Mathematical induction and induction in mathematics / Lance J. Rips and Jennifer Asmuth -- Induction, deduction and argument strength in human reasoning and argumentation / Mike Oaksford and Ulrike Hahn -- Individual differences, dual processes, and induction / Aidan Feeney -- Taxonomising induction / Steven Sloman.
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Without inductive reasoning, we couldn't generalize from one instance to another, derive scientific hypotheses, or predict that the sun will rise again tomorrow morning. Despite the widespread nature of inductive reasoning, books on this topic are rare. Indeed, this is the first book on the psychology of inductive reasoning in twenty years. The chapters survey recent advances in the study of inductive reasoning and address questions about how it develops, the role of knowledge in induction, how best to model people's reasoning, and how induction relates to other forms of thinking. Written by experts in philosophy, developmental science, cognitive psychology, and computational modeling, the contributions here will be of interest to a general cognitive science audience as well as to those with a more specialized interest in the study of thinking.