Concept Formation - 1st Edition - ISBN: 9781483207735, 9781483221168

Concept Formation

1st Edition

Knowledge and Experience in Unsupervised Learning

Editors: Douglas H. Fisher Michael J. Pazzani Pat Langley
eBook ISBN: 9781483221168
Imprint: Morgan Kaufmann
Published Date: 20th September 2014
Page Count: 488
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Concept Formation: Knowledge and Experience in Unsupervised Learning presents the interdisciplinary interaction between machine learning and cognitive psychology on unsupervised incremental methods. This book focuses on measures of similarity, strategies for robust incremental learning, and the psychological consistency of various approaches.

Organized into three parts encompassing 15 chapters, this book begins with an overview of inductive concept learning in machine learning and psychology, with emphasis on issues that distinguish concept formation from more prevalent supervised methods and from numeric and conceptual clustering. This text then describes the cognitive consistency of two concept formation systems that are motivated by a rational analysis of human behavior relative to a variety of psychological phenomena. Other chapters consider the merits of various schemes for representing and acquiring knowledge during concept formation. This book discusses as well the earliest work in concept formation. The final chapter deals with acquisition of quantity conservation in developmental psychology.

This book is a valuable resource for psychologists and cognitive scientists.

Table of Contents

I Inductive Approaches to Concept Formation

1 Computational Models of Concept Learning

2 An Incremental Bayesian Algorithm for Categorization

3 Representational Specificity and Concept Learning

4 Discrimination Net Models of Concept Formation

5 Concept Formation in Structured Domains

II Knowledge and Experience in Concept Formation

6 Theory-Guided Concept Formation

7 Explanation-Based Learning as Concept Formation

8 Some Influences of Instance Comparisons on Concept Formation

9 Harpoons and Long Sticks: The Interaction of Theory and Similarity in Rule Induction

10 Concept Formation over Problem-Solving Experience

III The Utility of Concept Formation in Intelligent Behavior

11 Concept Formation in Context

12 The Formation and Use of Abstract Concepts in Design

13 Learning to Recognize Movements

14 Representation Generation in an Exploratory Learning System

15 A Computational Account of Children's Learning About Number Conservation


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© Morgan Kaufmann 1991
Morgan Kaufmann
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About the Editor

Douglas H. Fisher

Michael J. Pazzani

Pat Langley

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