| Authors |
|
| Publication date |
2005
|
| Book title |
AAMAS 05 : the fourth International Joint Conference on Autonomous Agents and Multi Agent Systems
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| Book subtitle |
Utrecht University, the Netherlands, July 25-29, 2005
|
| ISBN (electronic) |
|
| Pages (from-to) |
846-852
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| Publisher |
New York: ACM Press
|
| Organisations |
-
Faculty of Science (FNWI) - Informatics Institute (IVI)
|
| 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.
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| Document type |
Conference contribution
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| Language |
English
|
| Published at |
https://doi.org/10.1145/1082473.1082602
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