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Other titles in the Complex Adaptive Systems series:

Intelligent Behavior in Animals and Robots (Complex Adaptive Systems)

Intelligent Behavior in Animals and Robots (Complex Adaptive Systems) Cover

 

Synopses & Reviews

Publisher Comments:

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 Bösser 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 Bösser 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.

Book News Annotation:

Researchers in animal behavior and robotics team up to argue that biological adaptive systems may have more to offer to the study of intelligence than traditional artificial intelligence. They consider motivation and autonomy, design and decision, goal seeking, and learning. Accessible to nonspecialists.
Annotation c. Book News, Inc., Portland, OR (booknews.com)

Synopsis:

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.

Synopsis:

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.

Description:

Includes bibliographical references (p. [295]-305) and index.

About the Author

David McFarland is Reader in Animal Behaviour at the University of Oxford.Thomas Bösser is Head of the Man Machine Research Group at Westfälische Wilhelms Universität, in Münster, and a partner in the consulting firm Advanced Concepts.

Product Details

ISBN:
9780262132930
Author:
McFarland, David
Author:
Bosser, Tom
Author:
ouml
Author:
Bosser, Thomas
Author:
Bösser, Tom
Author:
McFarland, David J.
Author:
Bsser, Thomas
Author:
sser, Thomas
Author:
&
Author:
B
Publisher:
A Bradford Book
Location:
Cambridge, Mass. :
Subject:
General
Subject:
Computer Science
Subject:
Animal intelligence
Subject:
Artificial Intelligence - General
Subject:
Artificial Intelligence
Subject:
Intelligence (AI) & Semantics
Subject:
Psychology : General
Series:
Complex Adaptive Systems Intelligent Behavior in Animals and Robots
Series Volume:
9461
Publication Date:
19930928
Binding:
Hardback
Grade Level:
from 17
Language:
English
Illustrations:
Yes
Pages:
322
Dimensions:
9.9 x 7.1 x 1 in

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
Health and Self-Help » Psychology » General

Intelligent Behavior in Animals and Robots (Complex Adaptive Systems)
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$ In Stock
Product details 322 pages Bradford Book - English 9780262132930 Reviews:
"Synopsis" by , 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.
"Synopsis" by , 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.
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