Adaptable motivational profiles for autonomous agents
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abstract: 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.
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| 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 +, and Barbara Hayes-Roth + |
| Bibtype | techreport + |
| Institution | Knowledge Systems, AI Laboratory + |
| Key | KSL-95-01 + |
| Month | January + |
| Number | KSL-95-01 + |
| Tag | Computer science + |
| Title | Adaptable Motivational Profiles for Autonomous Agents + |
| Tr id | KSL-95-01 + |
| Year | 1995 + |
