Managing collaboration in a multiagent system

Authors:
John Debenham;Simeon Simoff
Affiliations:
Faculty of IT, University of Technology, Sydney, NSW, Australia;Faculty of IT, University of Technology, Sydney, NSW, Australia
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2005

Citing 5
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Abstract

In a multiagent system agents negotiate with one another to distribute the work in an attempt to balance the incompatible goals of optimising the quality of the result, optimising system performance, maximising payoff, providing opportunities for poor performers to improve and balancing workload. This distribution of work is achieved by the delegation of responsibility for sub-processes by one agent to another. This leads to estimates of the probability that one agent is a better choice than another. The probability of delegating responsibility to an agent is then expressed as a function of these probability estimates. This apparently convoluted probabilistic method is easy to compute and gives good results in process management applications even when successive payoff measurements are unpredictably varied.