Learning and Memory: Major Ideas, Principles, Issues and Applications / Edition 1

Learning and Memory: Major Ideas, Principles, Issues and Applications / Edition 1

by Robert W. Howard
ISBN-10:
027594641X
ISBN-13:
9780275946418
Pub. Date:
01/24/1995
Publisher:
Bloomsbury Academic
ISBN-10:
027594641X
ISBN-13:
9780275946418
Pub. Date:
01/24/1995
Publisher:
Bloomsbury Academic
Learning and Memory: Major Ideas, Principles, Issues and Applications / Edition 1

Learning and Memory: Major Ideas, Principles, Issues and Applications / Edition 1

by Robert W. Howard

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Overview

This book surveys the entire field of learning and memory. It describes the major approaches to its study and looks at basic assumptions and philosophical underpinnings. Howard integrates work from quite different perspectives into a single framework, and describes peripheral areas not usually mentioned in mainstream books, such as prenatal learning, constraints on knowledge, nonconnectionist machine learning, intelligence and learning, and skills learning. He gives the reader a broad knowledge of what the field is all about, what its parts are and how they interrelate, its major principles and key applications. The primary contribution of this work is the integration of current thinking about learning with the literature and research on memory.

Product Details

ISBN-13: 9780275946418
Publisher: Bloomsbury Academic
Publication date: 01/24/1995
Series: Media and Society
Edition description: New Edition
Pages: 256
Product dimensions: 6.14(w) x 9.21(h) x 0.62(d)
Lexile: 1180L (what's this?)

About the Author

ROBERT W. HOWARD teaches at the University of Newcastle, Australia. He is the author of three books: Coping and Adapting (1984), Concepts and Schemata (1987), and All About Intelligence: Human, Animal and Artificial (1991), and many jourbanal articles.

Table of Contents

Preface
The ability to learn and remember
Learning and memory in evolution and in animals
Structures and processes of the memory system
Knowledge
Skills and expertise
Effects of age, intelligence, and styles on learning and memory
Machine learning: Symbolic and Connectionist
Applications
References
Index

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