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MULTI-AGENT SYSTEMS : MODELING KNOWLEDGE BASES

Multi-agent systems: Modeling knowledge bases
descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1999 Croatia English Publisher:University of Zagreb, Faculty of Organization and Informatics, VaraždinJournal:Zbornik radova (Fakultet organizacije i informatike Varaždin), volume 23, page 103-112 (issn: 0351-1804, Copyright policy )
Authors: Maleković, Mirko; Čubrilo, Mirko;

MULTI-AGENT SYSTEMS : MODELING KNOWLEDGE BASES

Abstract

.. In this paper, we consider modeling knowledge bases in the multi-agent system framework. In the first place, we show how a number of standard assumptions that are made can be expressed in this framework. Afterwards, a fact regarding a priori knowledge about the external world is proved. Some results about the situation where an agent (called the Teller) has false beliefs are proved too.

Country
Croatia
Related Organizations
Keywords

Logic in artificial intelligence, Knowledge bases, Knowledge representation, knowledge bases, multi-agent system, multi-agent systems, Knowledge bases; knowledge operators; multi-agent systems; reasoning about knowledge, Logics of knowledge and belief (including belief change), knowledge operators, reasoning about knowledge

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze