A blackboard architecture for control
Artificial Intelligence
Contributions to a computer-based theory of strategies
Contributions to a computer-based theory of strategies
T&Aelig;MS: a framework for environment centered analysis and design of coordination mechanisms
Foundations of distributed artificial intelligence
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
Organization Self-Design of Distributed Production Systems
IEEE Transactions on Knowledge and Data Engineering
Analysis and Design of Multiagent Systems Using MAS-Common KADS
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
Task Allocation: A Group Self-Design Approach
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Journal of Artificial Intelligence Research
Hierarchical planning in a distributed environment
IJCAI'79 Proceedings of the 6th international joint conference on Artificial intelligence - Volume 1
Using partial global plans to coordinate distributed problem solvers
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
A case study in model selection for policy engineering: simulating maritime customs
AAMAS'11 Proceedings of the 10th international conference on Advanced Agent Technology
Electricity agents in smart grid markets
Computers in Industry
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Recent development in the field of Multi-Agent Systems (MAS) has attracted researchers from various fields with new techniques rapidly emerging. Due to its multi-disciplinary nature, it is not surprising that proposed theories and research results in the field are not coherent and hard to integrate. In this paper we propose a functional decomposition of problem solving activities to serve as a framework to assist MAS designers in their selection and integration of different techniques and existing research results according to their system requirements. The basic phases include agent organization construction, plan generation, task allocation, plan integration, and plan execution. An example usage of the proposed model for the domain of naval radar frequency management is also presented.