Adaptable Motivational Profiles for Autonomous Agents

Reference: Morignot, P. & Hayes-Roth, B. Adaptable Motivational Profiles for Autonomous Agents. Knowledge Systems Laboratory, January, 1995.

Abstract: We present a new method, called motivation, for guiding the behavior of deliberative & reactive agents in various unpredictible environments. Psychology-inspired knowledge is used to orient the reasoning and behavior of the agent, eventually leading to spontaneous action. We provide an architecture in which motivations can be configured so as to make the agent adaptable 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 with the environment type, to get optimal performances of the agent.

Full paper available as ps.

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