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Adaptable motivational profiles for autonomous agents
Abstract We present a new method, called motivation We present a new method, called motivation, for guiding the behavior ofdeliberative & reactive agents in various unpredictible environments.Psychology-inspired knowledge is used to orient the reasoning and behaviorof the agent, eventually leading to spontaneous action. We provide anarchitecture in which motivations can be configured so as to make the agentadaptable to different kinds of environments. We describe a specific implementation of this method for the task of driving a mobile robot.Experimental results validate the approach by correlating motivations withthe environment type, to get optimal performances of the agent. to get optimal performances of the agent.
Author Philippe Morignot +, Barbara Hayes-Roth +
Bibtype techreport  +
Institution Knowledge Systems, AI Laboratory +
Key KSL-95-01  +
Modification dateThis property is a special property in this wiki. 1 May 2009 13:39:30  +
Month January +
Number KSL-95-01  +
Tag Computer science +
Title Adaptable Motivational Profiles for Autonomous Agents  +
Tr id KSL-95-01  +
Year 1995  +
Categories Technical Report, Publication, KSL Technical Report
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