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A multiagent framework for coordinated parallel problem solving

delete2008-11-21
delete7
PRE
AI
P
Pınar Öztürk *
K
Kari Rossland
O
Odd Erik Gundersen
DOI：10.1007/s10489-008-0154-7delete
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Abstract

Abstract

En 中文
Today's organizations, under increasing pressure on the effectiveness and the increasing need for dealing with complex tasks beyond a single individual's capabilities, need technological support in managing complex tasks that involve highly distributed and heterogeneous information sources and several actors. This paper describes CoPSF, a multiagent system middle-ware that simplifies the development of coordinated problem solving applications while ensuring standard compliance through a set of system services and agents. CoPSF hosts and serves multiple concurrent teams of problem solving contributing both to the limitation of communication overheads and to the reduction of redundant work across teams and organizations. The framework employs (i) an interleaved task decomposition and allocation approach, (ii) a mechanism for coordination of agents' work, and (iii) a mechanism that enables synergy between parallel teams.
Keywords:
Coordinated problem solving
Multiagent systems
Team formation
Team coordination
Parallel teams

Journal

Applied Intelligence cover
Applied Intelligence
IF:
3.5
Papers:
7.5K
Citations:
1.7W

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No organization information available