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Intelligent Behavior in Animals and Robots.

Mcfarland, David

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ISBN 10: 0262132931 / ISBN 13: 9780262132930
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Beschreibung

Cambridge, MA:. The MIT Press, 1993. Hardcover. Dustjacket. 322 pp.(Complex Adaptive Systems). - 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. English text. Condition : as new. Condition : as new. ISBN 9780262132930 [KEYWORDS: computer studies. Buchnummer des Verkäufers 253997

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Bibliografische Details

Titel: Intelligent Behavior in Animals and Robots.

Einband: Hardcover

Zustand des Schutzumschlags: Dust Jacket Included

Über diesen Titel

Inhaltsangabe:

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.

Über den Autor:

David McFarland is Reader in Animal Behaviour at the University of Oxford.

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