Multi-agent dependence by dependence graphs
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
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ISORC '05 Proceedings of the Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing
An integrated trust and reputation model for open multi-agent systems
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Decision Support Systems
Determining confidence when integrating contributions from multiple agents
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
IEEE Internet Computing
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Multi-Sensor Data Fusion: An Introduction
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COMPSAC-W'05 Proceedings of the 29th annual international conference on Computer software and applications conference
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As computing becomes pervasive, there are increasing opportunities for building collaborative multiagent systems that make use of multiple sources of knowledge and functionality for validation and reliability improvement purposes. However, there is no established method to combine the agents' contributions synergistically. Independence is usually assumed when integrating contributions from different sources. In this paper, we present a domain-independent model for representing dependences among agents. We discuss the influence that dependence-based confidence determination might have on the results provided by a group of collaborative agents. We show that it is theoretically possible to obtain higher accuracy than that obtained under the assumption of independence among the agents. We empirically evaluate the effectiveness of a collaborative multiagent system in the presence of dependences among the agents, and to analyze the effects of incorrect confidence integration assumptions.