Intelligent behavior in animals and robots / David McFarland, Thomas Bösser.

Format:

Book

Author/Creator:

McFarland, David.

Contributor:

Bösser, Tom, 1947-

Series:

Complex adaptive systems.

Complex adaptive systems

Language:

English

Subjects (All):

Animal intelligence.

Physical Description:

1 online resource (xi, 308 pages) : illustrations.

Place of Publication:

Cambridge, Mass. : MIT Press, ©1993.

Language Note:

English

Summary:

Intelligence takes many forms. This exciting study explores the novel insight, based on well-established ethological principles, that animals, humans, and autonomous robots can all be analyzed as multi-task autonomous control systems. Biological adaptive systems, the authors argue, can in fact provide a better understanding of intelligence and rationality than that provided by traditional AI. In this technically sophisticated, clearly written investigation of robot-animal analogies, McFarland and B#65533;sser show that a bee's accuracy in navigating on a cloudy day and a moth's simple but effective hearing mechanisms have as much to teach us about intelligent behavior as human models. In defining intelligent behavior, what matters is the behavioral outcome, not the nature of the mechanism by which the outcome is achieved. Similarly, in designing robots capable of intelligent behavior, what matters is the behavioral outcome. McFarland and B#65533;sser address the problem of how to assess the consequences of robot behavior in a way that is meaningful in terms of the robot's intended role, comparing animal and robot in relation to rational behavior, goal seeking, task accomplishment, learning, and other important theoretical issues.

Notes:

"A Bradford book."

Includes bibliographical references and index.

OCLC-licensed vendor bibliographic record.

ISBN:

0-262-27946-0

0-585-02048-5

OCLC:

42854166