A MAS approach to fusion of heterogeneous information

Author

Pavlin, Gregor ; De Oude, Patrick ; Nunnink, Jan

Author_Institution

Informatics Inst., Amsterdam Univ., Netherlands

fYear

2005

fDate

19-22 Sept. 2005

Firstpage

802

Lastpage

804

Abstract

Distributed perception networks (DPN) are a MAS approach to large scale fusion of heterogeneous and noisy information. DPN agents can establish meaningful information filtering channels between the relevant information sources and the decision makers. Through specification of high level concepts, DPN agent organizations generate distributed Bayesian networks, which provide mappings between the observed symptoms and the hypotheses relevant to the decision making. In addition, DPNs support robust distributed inference as well as decentralized probabilistic resource allocation.

Keywords

belief networks; decision making; distributed processing; inference mechanisms; information filtering; information resources; multi-agent systems; resource allocation; decentralized probabilistic resource allocation; decision making; distributed Bayesian network; distributed inference; distributed perception network; heterogeneous information; information filtering; information fusion; information sources; multiagent system; noisy information; Assembly; Bayesian methods; Context modeling; Decision making; Informatics; Information filtering; Large-scale systems; Probability distribution; Random variables; Runtime;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Intelligence, 2005. Proceedings. The 2005 IEEE/WIC/ACM International Conference on

Print_ISBN

0-7695-2415-X

Type

conf

DOI

10.1109/WI.2005.5

Filename

1517959