A bayesian blackboard for information fusion

Charles Sutton, Clayton Morrison, Paul R. Cohen, Joshua Moody, Jafar Adibi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

A Bayesian blackboard is just a conventional, knowledge-based blackboard system in which knowledge sources modify Bayesian networks on the blackboard. As an architecture for intelligence analysis and data fusion this has many advantages: The blackboard is a shared workspace or "corporate memory" for collaborating analysts; analyses can be developed over long periods of time with information that arrives in dribs and drabs; the computers contribution to analysis can range from data-driven statistical algorithms up to domain-specific, knowledge-based inference; and perhaps most important, the control of intelligence-gathering in the world and inference on the blackboard can be rational, that is, grounded in probability and utility theory. Our Bayesian blackboard architecture, called AIID, serves both as a prototype system for intelligence analysis and as a laboratory for testing mathematical models of the economics of intelligence analysis.

Original languageEnglish (US)
Title of host publicationProceedings of the Seventh International Conference on Information Fusion, FUSION 2004
EditorsP. Svensson, J. Schubert
Pages1111-1116
Number of pages6
StatePublished - Nov 2 2004
EventProceedings of the Seventh International Conference on Information Fusion, FUSION 2004 - Stockholm, Sweden
Duration: Jun 28 2004Jul 1 2004

Publication series

NameProceedings of the Seventh International Conference on Information Fusion, FUSION 2004
Volume2

Other

OtherProceedings of the Seventh International Conference on Information Fusion, FUSION 2004
CountrySweden
CityStockholm
Period6/28/047/1/04

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Sutton, C., Morrison, C., Cohen, P. R., Moody, J., & Adibi, J. (2004). A bayesian blackboard for information fusion. In P. Svensson, & J. Schubert (Eds.), Proceedings of the Seventh International Conference on Information Fusion, FUSION 2004 (pp. 1111-1116). (Proceedings of the Seventh International Conference on Information Fusion, FUSION 2004; Vol. 2).