Adaptive parallelization of strategies in agent based systems

We present an approach for adaptive parallelization of strategies in agent oriented systems. Our work is based on algorithmic skeletons (M. Cole, 1989) which provide the user with parallel programming templates supporting the modeling of agent strategies and ensuring their efficient parallelization....

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Bibliographic Details
Published in1996 Australian New Zealand Conference on Intelligent Information Systems. Proceedings. ANZIIS 96 pp. 121 - 124
Main Authors Geiger, C., Kalthoff, B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1996
Subjects
Australia
Computer aided manufacturing
Computer networks
Concurrent computing
Parallel processing
Parallel programming
Partitioning algorithms
Skeleton
Software engineering
Virtual manufacturing
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Summary:We present an approach for adaptive parallelization of strategies in agent oriented systems. Our work is based on algorithmic skeletons (M. Cole, 1989) which provide the user with parallel programming templates supporting the modeling of agent strategies and ensuring their efficient parallelization. Information provided by these skeletons supports the decision for an efficient partitioning. We describe agent based modeling and a sample example taken from manufacturing. Possible types of strategies are mentioned and the idea of algorithmic skeletons is introduced. Additionally we present the concept of PARTITIONER, a meta agent which computes a parallelization of strategies based on the knowledge provided by the skeletons. First implementation results are discussed and future research is motivated.
ISBN:9780780336674
0780336674
DOI:10.1109/ANZIIS.1996.573912