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Managing Distributed Parallel Workflow Systems Using a Multi-Agent Method

Abstract : In this chapter, we introduce new research directions for agent knowledge representation and multi-agent research and we enhance distributed parallel workflow systems (DPWS) with theory and tools developed in Artificial Intelligence. This article shows the limits of the traditional workflow systems and proposes a way of overcoming them through a new workflow model which parallelizes its activities. The first section defines the concepts of task, task execution validity, dependence and consistency between tasks. The second presents a multi-agent model which is used to manage the interactions between human agents, called actors, and artificial agents. It goes on to present a multiagent software agent architecture which addresses the needs of these systems.
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Submitted on : Tuesday, June 6, 2017 - 3:26:45 PM
Last modification on : Friday, January 8, 2021 - 5:40:04 PM



Samir Aknine, Suzanne Pinson. Managing Distributed Parallel Workflow Systems Using a Multi-Agent Method. Agent Supported Cooperative Work, 8, Kluwer Academic Publishers, pp.177-205, 2003, Multiagent Systems, Artificial Societies, and Simulated Organizations, ⟨10.1007/978-1-4419-9200-0_8⟩. ⟨hal-01533487⟩



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