Managing Distributed Parallel Workflow Systems Using a Multi-Agent Method

Samir Aknine 1 Suzanne Pinson
1 OASIS - Objets et Agents pour Systèmes d'Information et Simulation
LIP6 - Laboratoire d'Informatique de Paris 6
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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https://hal.archives-ouvertes.fr/hal-01533487
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Submitted on : Tuesday, June 6, 2017 - 3:26:45 PM
Last modification on : Thursday, March 21, 2019 - 2:16:07 PM

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UPMC | LIP6 | SORBONNE-UNIVERSITE | SU-SCIENCES

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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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