ABSTRACT
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.
- E. Castillo, J. M. Gutiérrez, and A. S. Hadi. Sensitivity analysis in discrete Bayesian Networks. IEEE Transactions on Systems. Man, and Cybernetics. Part A: Systems and Humans, 27:412--423, 1997. Google ScholarDigital Library
- V. M. H. Coupé and L. C. van der Gaag. Practicable sensitivity analysis of bayesian belief networks. In Joint Session of the 6th Prague Symposium of Asymptotic Statistics and the 13th Prague Conference on Information Theory, Statistical Decision Functions and Random Processes, pages 81--86, Prague, 1998.Google Scholar
- E. Durfee, V. Lesser, and D. Corkill. Trends in cooperative distributed problem solving. IEEE Transactions on Knowledge and Data Engineering, 1(1):63--83, 1989. Google ScholarDigital Library
- K. J. Hintz and E. S. McVey. Multi-process constrained estimation. IEEE Transactions on Systems, Man, and Cybernetics, 21(1):237--244, 1991.Google ScholarCross Ref
- F. V. Jensen. Bayesian Networks and Decision Graphs. Springer-Verlag, New York, 2001. Google ScholarDigital Library
- G. Pavlin, M. Maris, and J. Nunnink. An agent-based approach to distributed data and information fusion. In IEEE/WIC/ACM Joint Conference on Intelligent Agent Technology, pages 466--470, 2004. Google ScholarDigital Library
- J. Pearl. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, 1988. Google ScholarDigital Library
- C. E. Shannon and W. Weaver. The Mathematical Theory of Communication. University of Illinois Press, Urbana IL, 1949. Google ScholarDigital Library
Index Terms
- A probabilistic approach to resource allocation in distributed fusion systems
Recommendations
Distributed multiagent resource allocation in diminishing marginal return domains
AAMAS '08: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2We consider a multiagent resource allocation domain where the marginal production of each resource is diminishing. A set of identical, self-interested agents requires access to sharable resources in the domain. We present a distributed and random ...
Resource reconstruction algorithms for on-demand allocation in virtual computing resource pool
Resource reconstruction algorithms are studied in this paper to solve the problem of resource on-demand allocation and improve the efficiency of resource utilization in virtual computing resource pool. Based on the idea of resource virtualization and ...
Hybrid negotiation for resource coordination in multiagent systems
In this paper, we present a coordination approach to resource allocation problem in multiagent systems. Agents adaptively coordinate resources among themselves to handle resource shortage crises resulted from events they encounter in dynamic, uncertain, ...
Comments