Intelligent behavior in animals and robots
著者
書誌事項
Intelligent behavior in animals and robots
（Complex adaptive systems）（Bradford book）
MIT Press, c1993
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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 Bosser 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 Bosser 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.
David McFarland is Reader in Animal Behaviour at the University of Oxford. Thomas Bosser is Head of the Man Machine Research Group at Westfalische Wilhelms Universitat, in Munster, and a partner in the consulting firm Advanced Concepts.
目次
- Intelligent behaviour
- rational behaviour
- utility
- state and cost
- design and decision
- motivation and autonomy
- goals and behaviour
- accomplishing tasks
- prerequisites for an autonomous robot
- the goal function in robot architecture
- animal and robot learning
- conclusions.
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