| dc.creator | Maes, Pattie | |
| dc.date | 2004-10-04T14:35:51Z | |
| dc.date | 2004-10-04T14:35:51Z | |
| dc.date | 1989-10-01 | |
| dc.date.accessioned | 2013-10-09T02:42:24Z | |
| dc.date.available | 2013-10-09T02:42:24Z | |
| dc.date.issued | 2013-10-09 | |
| dc.identifier | AIM-1180 | |
| dc.identifier | http://hdl.handle.net/1721.1/6013 | |
| dc.identifier.uri | http://koha.mediu.edu.my:8181/xmlui/handle/1721 | |
| dc.description | 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. | |
| dc.format | 51 p. | |
| dc.format | 4087213 bytes | |
| dc.format | 3188021 bytes | |
| dc.format | application/postscript | |
| dc.format | application/pdf | |
| dc.language | en_US | |
| dc.relation | AIM-1180 | |
| dc.title | How to Do the Right Thing |
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