Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
Artificial Intelligence
Computational intelligence PC tools
Computational intelligence PC tools
Methods for task allocation via agent coalition formation
Artificial Intelligence
A formal model of open agent societies
Proceedings of the fifth international conference on Autonomous agents
Algorithm for optimal winner determination in combinatorial auctions
Artificial Intelligence
Extracting reputation in multi agent systems by means of social network topology
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Reputation and social network analysis in multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Reflections on the Nature of Multi-Agent Coordination and Its Implications for an Agent Architecture
Autonomous Agents and Multi-Agent Systems
Cooperative Multiagent Systems: A Personal View of the State of the Art
IEEE Transactions on Knowledge and Data Engineering
An Automated Teamwork Infrastructure for Heterogeneous Software Agents and Humans
Autonomous Agents and Multi-Agent Systems
An Introduction to Congregating in Multiagent Systems
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Organization-Based Cooperative Coalition Formation
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
A survey of multi-agent organizational paradigms
The Knowledge Engineering Review
The Computer Journal
The communicative multiagent team decision problem: analyzing teamwork theories and models
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
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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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As social entities, intelligent agents need to collaborate with others regardless of whether they are cooperative or self-interested. Compared with cooperative agents, collaborations among self-interested agents are more complex and dynamic due to the selfish features. Self-interested agents are impelled to cooperate with others by their individual goals. In an agent team composed of self-interested agents, "common" goals of agents may change to be conflict as the environment changes. Especially in open and dynamic environments, if factors such as agent goals, task requirements and resources have been changed, a selfish agent may need to modify or even relieved the collaboration relationships with its "colleagues". Otherwise the collaboration would be conflict or even harmful to its individual goal. Therefore, it is important to include rational team forming mechanisms in self-interested multi-agent systems. Without a rational team-forming mechanism, agent teams in a system may have unreasonable or outdated compositions which obstruct (agent) team members to purchase profits or cause unnecessary resource consumptions. Focusing on general self-interested multi-agent systems, this paper suggests a flexible team forming mechanism that can enable agents to select team members with reasonable terms and objects. The flexibility of the mechanism enables agents to form more rational teams that can avoid potential benefit conflicts among self-interested team members.