### 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 language | English (US) |
---|---|

Title of host publication | Proceedings of the Seventh International Conference on Information Fusion, FUSION 2004 |

Editors | P. Svensson, J. Schubert |

Pages | 1111-1116 |

Number of pages | 6 |

Volume | 2 |

State | Published - 2004 |

Externally published | Yes |

Event | Proceedings of the Seventh International Conference on Information Fusion, FUSION 2004 - Stockholm, Sweden Duration: Jun 28 2004 → Jul 1 2004 |

### Other

Other | Proceedings of the Seventh International Conference on Information Fusion, FUSION 2004 |
---|---|

Country | Sweden |

City | Stockholm |

Period | 6/28/04 → 7/1/04 |

### Fingerprint

### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*Proceedings of the Seventh International Conference on Information Fusion, FUSION 2004*(Vol. 2, pp. 1111-1116)

**A bayesian blackboard for information fusion.** / Sutton, Charles; Morrison, Clayton T; Cohen, Paul R; Moody, Joshua; Adibi, Jafar.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Proceedings of the Seventh International Conference on Information Fusion, FUSION 2004.*vol. 2, pp. 1111-1116, Proceedings of the Seventh International Conference on Information Fusion, FUSION 2004, Stockholm, Sweden, 6/28/04.

}

TY - GEN

T1 - A bayesian blackboard for information fusion

AU - Sutton, Charles

AU - Morrison, Clayton T

AU - Cohen, Paul R

AU - Moody, Joshua

AU - Adibi, Jafar

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=6344243164&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=6344243164&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:6344243164

SN - 917056115X

VL - 2

SP - 1111

EP - 1116

BT - Proceedings of the Seventh International Conference on Information Fusion, FUSION 2004

A2 - Svensson, P.

A2 - Schubert, J.

ER -