Managing collaboration in a multiagent system

John Debenham, Simeon Simoff

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

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.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
PublisherSpringer Verlag
Pages23-29
Number of pages7
ISBN (Print)3540288961, 9783540288961
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia
Duration: 14 Sept 200516 Sept 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3683 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
Country/TerritoryAustralia
CityMelbourne
Period14/09/0516/09/05

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