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How to Do the Right Thing

Author(s)
Maes, Pattie
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Abstract
This paper presents a novel approach to the problem of action selection for an autonomous agent. An agent is viewed as a collection of competence modules. Action selection is modeled as an emergent property of an activation/inhibition dynamics among these modules. A concrete action selection algorithm is presented and a detailed account of the results is given. This algorithm combines characteristics of both traditional planners and reactive systems: it produces fast and robust activity in a tight interaction loop with the environment, while at the same time allowing for some prediction and planning to take place.
Date issued
1989-10-01
URI
http://hdl.handle.net/1721.1/6013
Other identifiers
AIM-1180
Series/Report no.
AIM-1180

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  • AI Memos (1959 - 2004)

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