Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Trends in Cooperative Distributed Problem Solving
IEEE Transactions on Knowledge and Data Engineering
An Agent-Based Approach to Distributed Data and Information Fusion
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
A Mathematical Theory of Communication
A Mathematical Theory of Communication
Sensitivity analysis in discrete Bayesian networks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Real World Multi-agent Systems: Information Sharing, Coordination and Planning
Logic, Language, and Computation
A multi-agent systems approach to distributed bayesian information fusion
Information Fusion
Guest Editorial: Agent-based information fusion
Information Fusion
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In complex multi-agent fusion systems resource conflicts are very likely to occur. We propose an algorithm that determines the optimal sensing resource to fusion task assignment, based on the expected change in entropy. By exploiting the Bayesian network framework and the structure of our agent network, the algorithm operates in a distributed manner by combining descriptions of local fusion models in an efficient way, which provides significant advantages over centralized approaches.