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Advisor(s)
Abstract(s)
Multi-agent architectures are well suited for complex inherently distributed problem solving domains. From the many challenging aspects that arise within this framework, a crucial one emerges: how to incorporate dynamic and conflicting agent beliefs? While the belief revision activity in a single agent scenario is concentrated on incorporating new information while preserving consistency, in a multi-agent system it also has to deal with possible conflicts between the agents perspectives. To provide an adequate framework, each agent, built as a combination of an assumption based belief revision system and a cooperation layer, was enriched with additional features: a distributed search control mechanism allowing dynamic context management, and a set of different distributed consistency methodologies. As a result, a Distributed Belief Revision Testbed (DiBeRT) was developed. This paper is a preliminary report presenting some of DiBeRT contributions: a concise representation of external beliefs; a simple and innovative methodology to achieve distributed context management; and a reduced inter-agent data exchange format.
Description
Keywords
Artificial Intelligence Computer Communication Networks Software Engineering
Citation
Benedita Malheiro; Eugénio Oliveira. Consistency and Context Management in a Multi Agent Belief Revision Testbed, In Intelligent Agents II - Agent Theories, Architectures, and Languages Intelligent Agents II - Agent Theories, Architectures, and Languages, IJCAI'95-ATAL Workshop, Montreal, Canada, August 19-20, 1995, 361-375, ISBN: 978-3-540-60805-9. Montreal, Canada: Springer-Verlag, 1996.
Publisher
Springer-Verlag