Coalition formation with uncertain heterogeneous information
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Service -Oriented Computing: Concepts, Characteristics and Directions
WISE '03 Proceedings of the Fourth International Conference on Web Information Systems Engineering
A Framework and Ontology for Dynamic Web Services Selection
IEEE Internet Computing
Toward autonomic web services trust and selection
Proceedings of the 2nd international conference on Service oriented computing
Modeling task allocation using a decision theoretic model
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Forming efficient agent groups for completing complex tasks
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Requirements driven agent collaboration
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Methods for task allocation via agent coalition formation
Artificial Intelligence
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Requirements Driven Agent Collaboration (RDAC) is a mechanism where the self-interested service agents actively and autonomously search for the required services submitted by the request agents and compete to offer the services. This mechanism would be more suitable for large number of autonomous service providers on internet compared with the current service-oriented computing framework. Collaboration is an important issue in this mechanism. This paper focuses on the collaboration issue in RDAC. First, we define the assignment problem in RDAC and show that it is NP-complete. Then, we model it as a Kripke structure with normative systems on it. This makes it possible to bridge the assignment problem and the existing efforts in normative systems, games, mechanisms, etc. Thirdly, a negotiation-based approach is given to solve the problem and the performance of the negotiation is evaluated by simulation. Finally, a tool for RDAC has been implemented to put it into practice and for further testing and evaluation.