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Agents that Reason and Learn

Lloyd, John

Description

The issues related to designing architectures for agents that need to be able to adapt to changing circumstances during deployment are discussed. This research is being carried out in the context of the Smart Internet technology Cooperative Research Center. The first attempt in this project at an architecture involves integrating BDI agent architectures for the reasoning component and reinforcement learning for the learning component. In the research, the learning system used to approximate the...[Show more]

dc.contributor.authorLloyd, John
dc.coverage.spatialSzeged Hungary
dc.date.accessioned2015-12-13T23:07:14Z
dc.date.available2015-12-13T23:07:14Z
dc.date.createdSeptember 29 2003
dc.identifier.isbn0302-9743
dc.identifier.urihttp://hdl.handle.net/1885/86117
dc.description.abstractThe issues related to designing architectures for agents that need to be able to adapt to changing circumstances during deployment are discussed. This research is being carried out in the context of the Smart Internet technology Cooperative Research Center. The first attempt in this project at an architecture involves integrating BDI agent architectures for the reasoning component and reinforcement learning for the learning component. In the research, the learning system used to approximate the Q-function is ALKEMY, a decision-tree learning system with a foundation in higher-order logic.
dc.publisherSpringer
dc.relation.ispartofseriesInternational Conference on Inductive Logic Programming (ILP 2003)
dc.sourceInductive Logic Programming: Proceedings of 13th International Conference, ILP 2003
dc.titleAgents that Reason and Learn
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2003
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.absfor080203 - Computational Logic and Formal Languages
local.identifier.ariespublicationMigratedxPub14879
local.type.statusPublished Version
local.contributor.affiliationLloyd, John, College of Engineering and Computer Science, ANU
local.bibliographicCitation.startpage2
local.bibliographicCitation.lastpage3
dc.date.updated2015-12-12T08:08:23Z
local.identifier.scopusID2-s2.0-9444269873
CollectionsANU Research Publications

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