Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6013
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dc.creatorMaes, Pattie-
dc.date2004-10-04T14:35:51Z-
dc.date2004-10-04T14:35:51Z-
dc.date1989-10-01-
dc.date.accessioned2013-10-09T02:42:24Z-
dc.date.available2013-10-09T02:42:24Z-
dc.date.issued2013-10-09-
dc.identifierAIM-1180-
dc.identifierhttp://hdl.handle.net/1721.1/6013-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionThis 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.-
dc.format51 p.-
dc.format4087213 bytes-
dc.format3188021 bytes-
dc.formatapplication/postscript-
dc.formatapplication/pdf-
dc.languageen_US-
dc.relationAIM-1180-
dc.titleHow to Do the Right Thing-
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