Intelligent Behavior in Animals and Robots

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The MIT Press | 1993-09-28 | ISBN: 0262132931 | 322 pages | PDF | 3,2 MB


In this technically sophisticated, clearly written investigation of robot-animal analogies, McFarland and B鰏ser 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鰏ser 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.
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