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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F04%3A03105393%21RIV08-MSM-21230___
rdf:type
n14:Vysledek skos:Concept
dcterms:description
An important property of an autonomous agent is its ability to reason about other agents' private knowledge. Knowledge about the community and private knowledge of its members can be obtained by monitoring events appearing in the community. We propose three approaches how an agent can use the observed events to build such a model: one is based on theorem proving, the other on machine learning techniques, namely ILP and version space. The proposed framework allows to choose the type of model revision/update on eager-lazy strategy scale. These techniques were implemented and compared in two case studies concerning coalition formation. An important property of an autonomous agent is its ability to reason about other agents' private knowledge. Knowledge about the community and private knowledge of its members can be obtained by monitoring events appearing in the community. We propose three approaches how an agent can use the observed events to build such a model: one is based on theorem proving, the other on machine learning techniques, namely ILP and version space. The proposed framework allows to choose the type of model revision/update on eager-lazy strategy scale. These techniques were implemented and compared in two case studies concerning coalition formation. Článek popisuje několik metod pro uvažování o privátní znalosti agentů v multi-agentních systémech.
dcterms:title
Reasoning about Agent's Private Knowledge Reasoning about Agent's Private Knowledge Uvožování o privátní znalosti agenta
skos:prefLabel
Reasoning about Agent's Private Knowledge Reasoning about Agent's Private Knowledge Uvožování o privátní znalosti agenta
skos:notation
RIV/68407700:21230/04:03105393!RIV08-MSM-21230___
n4:strany
355;364
n4:aktivita
n10:Z
n4:aktivity
Z(MSM 212300013)
n4:dodaniDat
n7:2008
n4:domaciTvurceVysledku
n12:4394674 n12:7332327 n12:2490013 n12:9942904
n4:druhVysledku
n19:D
n4:duvernostUdaju
n8:S
n4:entitaPredkladatele
n13:predkladatel
n4:idSjednocenehoVysledku
583711
n4:idVysledku
RIV/68407700:21230/04:03105393
n4:jazykVysledku
n17:eng
n4:klicovaSlova
machine learning; reasoning; theorem proving
n4:klicoveSlovo
n15:machine%20learning n15:theorem%20proving n15:reasoning
n4:kontrolniKodProRIV
[F98CF8E96A40]
n4:mistoKonaniAkce
Barcelona
n4:mistoVydani
University of Southamton
n4:nazevZdroje
EUMAS 2004 - Proceedings
n4:obor
n9:JD
n4:pocetDomacichTvurcuVysledku
4
n4:pocetTvurcuVysledku
4
n4:rokUplatneniVysledku
n7:2004
n4:tvurceVysledku
Štěpánková, Olga Pěchouček, Michal Jakob, Michal Tožička, Jan
n4:typAkce
n18:WRD
n4:zahajeniAkce
2004-12-16+01:00
n4:zamer
n5:MSM%20212300013
s:numberOfPages
10
n6:hasPublisher
AgentLink
n20:organizacniJednotka
21230