Inferred Functions of Performance and Learning by Siegfried Engelmann, Donald Steely | | 9780805845402 | Hardcover | Barnes & Noble
Inferred Functions of Performance and Learning

Inferred Functions of Performance and Learning

by Siegfried Engelmann, Donald Steely
     
 

ISBN-10: 0805845402

ISBN-13: 9780805845402

Pub. Date: 10/28/2003

Publisher: Taylor & Francis

Engelmann (U. of Oregon) and Steely (Oregon Center for Applied Science) examine what the intelligent system that produces responses must do to perform as it does. Coverage includes the performance system that does not learn, basic learning, complicated learning, and human learning and how it is related to that of other organisms. Through a series of meta-blueprints

Overview

Engelmann (U. of Oregon) and Steely (Oregon Center for Applied Science) examine what the intelligent system that produces responses must do to perform as it does. Coverage includes the performance system that does not learn, basic learning, complicated learning, and human learning and how it is related to that of other organisms. Through a series of meta-blueprints articulating the steps, content or specific information, and logical operations required for the system to perform the specified tasks, the authors show how it would be possible to design machines that perform and learn in the same way as organisms. For practitioners involved in analyzing and creating behavior, such as ethnologists, instructional designers, learning psychologists, physiologist-neurobiologists, and designers of intelligent machines. Annotation ©2004 Book News, Inc., Portland, OR

Product Details

ISBN-13:
9780805845402
Publisher:
Taylor & Francis
Publication date:
10/28/2003
Pages:
534
Product dimensions:
6.20(w) x 9.10(h) x 1.30(d)
Lexile:
1290L (what's this?)

Table of Contents

Contents: Preface. Part I: Performance of Nonlearning Systems. A Framework for the Fundamentals of Performance. Basics of Hardwired Systems. Agent Functions. Interaction of Agent and Infrasystem. Part II: Basic Learning. Perspectives on Basic Learning. Basic Antecedent Learning. Basic Response-Strategy Learning. Learning Patterns and Generalizations. Transformation of Data. Part III: Extended Learning. Individuals and Features. Secondary and Unfamiliar Learning. Experimental Designs. Volition and Thought. Part IV: Human Learning and Instruction. Human Learning. Language. Human Cognitive Development. The Logic of Instruction. Issues.

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