Uncertainty in Artificial Intelligence
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Possibilistic Assumption based Truth Maintenance System, Validation in a Data Fusion Application
Francesco Monai, Thomas Chehire
Abstract:
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 (n-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 11-ATMSs. Finally we detail the solution to the given data fusion problem and conclude with the results and comparison with a non-possibilistic solution.
Keywords:
Pages: 83-91
PS Link:
PDF Link: /papers/92/p83-monai.pdf
BibTex:
@INPROCEEDINGS{Monai92,
AUTHOR = "Francesco Monai and Thomas Chehire",
TITLE = "Possibilistic Assumption based Truth Maintenance System, Validation in a Data Fusion Application",
BOOKTITLE = "Proceedings of the Eighth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-92)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Mateo, CA",
YEAR = "1992",
PAGES = "83--91"
}


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