Sinossi
Intelligence takes many forms. This exciting study explores the novel insight, basedon well-established ethological principles, that animals, humans, and autonomous robots can all beanalyzed 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 bytraditional AI.
In this technically sophisticated, clearly written investigationof robot-animal analogies, McFarland and Bösser show that a bee's accuracy in navigating on a cloudyday and a moth's simple but effective hearing mechanisms have as much to teach us about intelligentbehavior 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 robotscapable of intelligent behavior, what matters is the behavioral outcome.
McFarlandand Bösser address the problem of how to assess the consequences of robot behavior in a way that ismeaningful in terms of the robot's intended role, comparing animal and robot in relation to rationalbehavior, goal seeking, task accomplishment, learning, and other important theoreticalissues.
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Informazioni sull?autore
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.
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Condizione: as new. 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 copy. ISBN 9780262132930. Keywords : , Codice articolo 253997
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