Inductive reasoning : experimental, developmental, and computational approaches

Title:

Publication Information:

Cambridge, UK : Cambridge University Press, 2007

Physical Description:

xix, 355 p. : ill. ; 24 cm.

ISBN:

9780521856485

Subject Term:

Reasoning (Psychology)

Induction (Logic)

Added Author:

Feeney, Aidan

Heit, Evan

Available:*

Library	Item Barcode	Call Number	Material Type	Item Category 1	Status
Searching... PSZ JB	30000010192401	BF442 I53 2007	Open Access Book	Book	Searching... Unknown

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.

Evan HeitBrett K. HayesDouglas L. Medin and Sandra WaxmanBob RehderPatrick Shafto and John D. Coley and Anna VitkinSergey Blok and Daniel Osherson and Douglas L. MedinJoshua B. Tenenbaum and Charles Kemp and Patrick ShaftoGregory L. Murphy and Brian H. RossPaul ThagardLance J. Rips and Jennifer AsmuthMike Oaksford and Ulrike HahnAidan FeeneySteven A. Sloman

List of Figures	p. vii
List of Tables	p. ix
List of Contributors	p. xi
Preface	p. xiii
1 What Is Induction and Why Study It?	p. 1
2 The Development of Inductive Reasoning	p. 25
3 Interpreting Asymmetries of Projection in Children's Inductive Reasoning	p. 55
4 Property Generalization as Causal Reasoning	p. 81
5 Availability in Category-Based Induction	p. 114
6 From Similarity to Chance	p. 137
7 Theory-Based Bayesian Models of Inductive Reasoning	p. 167
8 Use of Single or Multiple Categories in Category-Based Induction	p. 205
9 Abductive Inference: From Philosophical Analysis to Neural Mechanisms	p. 226
10 Mathematical Induction and Induction in Mathematics	p. 248
11 Induction, Deduction, and Argument Strength in Human Reasoning and Argumentation	p. 269
12 Individual Differences, Dual Processes, and Induction	p. 302
13 Taxonomizing Induction	p. 328
Index	p. 345

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