Partitioned multiagent systems in information oriented domains

Claudia V. Goldman*, Jeffrey S. Rosenschein

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations


The initial step in handling multiagent systems is to partition the information domain, using an evolutionary algorithm and a similarity criterion. This partitioning step results in a group of agents, each with a particular area of expertise, assigned to handle the available information. Because of the nature of the evolutionary algorithm, the number of final agents and their assignments arise naturally from the information content of the environment, and are not determined a priori. This organization of agents, spanning the information space, can then be exploited in problem solving and information retrieval tasks. The partitioning of the information space leads to greater efficiency at run time.

Original languageAmerican English
Number of pages8
StatePublished - 1999
EventProceedings of the 1999 3rd International Conference on Autonomous Agents - Seattle, WA, USA
Duration: 1 May 19995 May 1999


ConferenceProceedings of the 1999 3rd International Conference on Autonomous Agents
CitySeattle, WA, USA


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