Artificial Intelligence
Embeddable problem-solving architectures: a study of integrating OPS5 with GBB
Proceedings of the sixth conference on Artificial intelligence applications
Multisensor Data Fusion
Efficiency of production systems when coupled with an assumption based truth maintenance system
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
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Data fusion allows the elaboration and the evaluation of a situation synthesized from low level informations provided by different kinds of sensors. The fusion of the collected data will result in fewer and higher level informations more easily assessed by a human operator and that will assist him effectively in his decision process. In this paper we present the suitability and the advantages of using a Possibilistic Assumption based Truth Maintenance System (Π-ATMS) in a data fusion military application. We first describe the problem, the needed knowledge representation formalisms and problem solving paradigms. Then we remind the reader of the basic concepts of ATMSs, Possibilistic Logic and Π-ATMSs. Finally we detail the solution to the given data fusion problem and conclude with the results and comparison with a non-possibilistic solution.