Multi-agent oriented constraint satisfaction
Artificial Intelligence
Transaction Processing: Concepts and Techniques
Transaction Processing: Concepts and Techniques
Verifying Compliance with Commitment Protocols
Autonomous Agents and Multi-Agent Systems
An Automated Teamwork Infrastructure for Heterogeneous Software Agents and Humans
Autonomous Agents and Multi-Agent Systems
Commitments and causality for multiagent design
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Agent architectures for flexible, practical teamwork
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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Multiparty agreements often arise in a multiagent system where autonomous agents interact with each other to achieve a global goal. Multiparty agreements are traditionally represented by messaging protocols or event- condition-action rule sets in which agents exchange messages in a predefined sequence to ensure both global and local consistencies. However, these models do not readily incorporate agents' autonomy and heterogeneity, which limits their ability to help build a flexible open system. Commitments have been studied for modelling various agent interactions. This paper introduces commitments as the key elements in formulating multiparty agreements. Our model focuses on how agents may negotiate with each other to build a mutual agreement based on their individual constraints. The actual execution sequence is validated by checking the compliance of commitment casual relations. Our approach is geared toward constructing business processes where agents are mutually constrained in a manner that preserves their autonomy and heterogeneity.