A formal approach to aggregated belief formation
conference paper
This paper introduces a formal method to aggregate over basic beliefs, in order to deduce aggregated or complex beliefs as often used in applications. Complex beliefs can represent several things, such as a belief about a period in which other beliefs held or the minimal or maximal certainty with which a belief held. As such they contain richer information than the basic beliefs they are aggregated from and can be used to optimize an agent's search through its memory and its reasoning processes. The developed method can also aggregate over aggregated beliefs, hence nested aggregations are possible. An implementation in Prolog demonstrates its operationality. © 2008 Springer-Verlag Berlin Heidelberg.
Topics
TNO Identifier
181303
ISSN
03029743
ISBN
3540858334 9783540858331
Source title
12th International Workshop on Cooperative Information Agents, CIA 2008, 10 September 2008 through 12 September 2008, Prague, 74822
Editor(s)
Klusch, M.
Pechoucek, M.
Polleres, A
Pechoucek, M.
Polleres, A
Pages
71 - 85
Files
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