Heuristic reasoning about uncertainty: an artificial intelligence approach
Heuristic reasoning about uncertainty: an artificial intelligence approach
Artificial Intelligence
ARCHON: an architecture for multi-agent systems
ARCHON: an architecture for multi-agent systems
Abstract argumentation systems
Artificial Intelligence
Environmental decision support: a multi-agent approach
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Reaching agreements through argumentation: a logical model and implementation
Artificial Intelligence
Argumentation as distributed constraint satisfaction: applications and results
Proceedings of the fifth international conference on Autonomous agents
Belief Revision Through the Belief-Function Formalism in a Multi-Agent Environment
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
Commitment and effectiveness of situated agents
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
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Decentralised co-operative multi-agent systems are computational systems where conflicts are frequent due to the nature of the represented knowledge. Negotiation methodologies, in this case argumentation based negotiation methodologies, were developed and applied to solve unforeseeable and, therefore, unavoidable conflicts. The supporting computational model is a distributed belief revision system where argumentation plays the decisive role of revision. The distributed belief revision system detects, isolates and solves, whenever possible, the identified conflicts. The detection and isolation of the conflicts is automatically performed by the distributed consistency mechanism and the resolution of the conflict, or belief revision, is achieved via argumentation. We propose and describe two argumentation protocols intended to solve different types of identified information conflicts: context dependent and context independent conflicts. While the protocol for context dependent conflicts generates new consensual alternatives, the latter chooses to adopt the soundest, strongest argument presented. The paper shows the suitability of using argumentation as a distributed decentralised belief revision protocol to solve unavoidable conflicts.