Multistage negotiation in distributed planning
Distributed Artificial Intelligence
Conflict resolution of rules assigning values to virtual attributes
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
Utility theory conflict resolution
Annals of Operations Research
Object oriented design with applications
Object oriented design with applications
Multiagent compromise via negotiation
Distributed Artificial Intelligence (Vol. 2)
Conflict resolution strategies for nonhierarchical distributed agents
Distributed Artificial Intelligence (Vol. 2)
Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Coordination techniques for distributed artificial intelligence
Foundations of distributed artificial intelligence
A methodology for agent-oriented analysis and design
Proceedings of the third annual conference on Autonomous Agents
Strategy selection-based meta-level reasoning for multi-agent problem-solving
First international workshop, AOSE 2000 on Agent-oriented software engineering
The Reorganization of Societies of Autonomous Agents
Proceedings of the 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: Multi-Agent Rationality
Domain independent conflict resolution for dynamically organized multi-agent systems
Domain independent conflict resolution for dynamically organized multi-agent systems
Multi-agent planning as a dynamic search for social consensus
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
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The organization structure of Multi-Agent Systems (MAS) constrains the mechanisms that may be used for coordinating the agents' decision-making process. As researchers develop MAS that allow agents to dynamically re-organize how to interact with each other, the design of the agents must provide the ability to operate under different organizations. This paper investigates the issues involved in increasing the flexibility of agents' coordination capabilities. Applying the concepts of encapsulation and polymorphism, a representation of coordination strategies is presented as an abstraction that allows agents to easily switch coordination mechanisms and that allows coordination mechanisms to be applied to different domains.