Knowledge-directed Adaptation in Multi-level Agents
dc.contributor.author | Laird, John E. | en_US |
dc.contributor.author | Pearson, Douglas J. | en_US |
dc.contributor.author | Huffman, Scott B. | en_US |
dc.date.accessioned | 2006-09-11T17:51:37Z | |
dc.date.available | 2006-09-11T17:51:37Z | |
dc.date.issued | 1997-11 | en_US |
dc.identifier.citation | Laird, John E.; Pearson, Douglas J.; Huffman, Scott B.; (1997). "Knowledge-directed Adaptation in Multi-level Agents." Journal of Intelligent Information Systems 9(3): 261-275. <http://hdl.handle.net/2027.42/46502> | en_US |
dc.identifier.issn | 1573-7675 | en_US |
dc.identifier.issn | 0925-9902 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/46502 | |
dc.description.abstract | Most work on adaptive agents have a simple, single layerarchitecture. However, most agent architectures support three levels ofknowledge and control: a reflex level for reactive responses, a deliberatelevel for goal-driven behavior, and a reflective layer for deliberateplanning and problem decomposition. In this paper we explore agentsimplemented in Soar that behave and learn at the deliberate and reflectivelevels. These levels enhance not only behavior, but also adaptation. Theagents use a combination of analytic and empirical learning, drawing from avariety of sources of knowledge to adapt to their environment. We hypothesize that complete, adaptive agents must be able to learn across all three levels. | en_US |
dc.format.extent | 262054 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers; Springer Science+Business Media | en_US |
dc.subject.other | Computer Science | en_US |
dc.subject.other | Data Structures, Cryptology and Information Theory | en_US |
dc.subject.other | Artificial Intelligence (Incl. Robotics) | en_US |
dc.subject.other | Document Preparation and Text Processing | en_US |
dc.subject.other | Learning | en_US |
dc.subject.other | Adaptation | en_US |
dc.subject.other | Business Information Systems | en_US |
dc.subject.other | Instruction | en_US |
dc.subject.other | Error Correction | en_US |
dc.subject.other | EBL | en_US |
dc.subject.other | Multi-level Agents | en_US |
dc.subject.other | Soar | en_US |
dc.title | Knowledge-directed Adaptation in Multi-level Agents | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Philosophy | en_US |
dc.subject.hlbsecondlevel | Computer Science | en_US |
dc.subject.hlbtoplevel | Humanities | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109-2110 | en_US |
dc.contributor.affiliationum | Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109-2110 | en_US |
dc.contributor.affiliationother | Price Waterhouse Technology Center, 68 Willow Road, Menlo Park, CA, 94025 | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/46502/1/10844_2004_Article_146932.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1023/A:1008606203724 | en_US |
dc.identifier.source | Journal of Intelligent Information Systems | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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