Bayesian learning in negotiation
International Journal of Human-Computer Studies - Evolution and learning in multiagent systems
Rough set methods and applications
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Coordinating Multiple Concurrent Negotiations
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Negotiation among autonomous computational agents: principles, analysis and challenges
Artificial Intelligence Review
An inquiry into anatomy of conflicts
Information Sciences: an International Journal
Multi-Agent Decision Taking System
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Application of the Method of Editing and Condensing in the Process of Global Decision-making
Fundamenta Informaticae
Rough sets approach to medical diagnosis system
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
Applying Rough Set Theory to Multi Stage Medical Diagnosing
Fundamenta Informaticae
A Rough Set Approach to Estimating the Game Value and the Shapley Value from Data
Fundamenta Informaticae
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This paper discusses the issues related to the conflict analysis method and the rough set theory, process of global decision-making on the basis of knowledge which is stored in several local knowledge bases. The value of the rough set theory and conflict analysis applied in practical decision support systems with complex domain knowledge are expressed. The furthermore examples of decision support systems with complex domain knowledge are presented in this article. The paper proposes a new approach to the organizational structure of a multi-agent decision-making system, which operates on the basis of dispersed knowledge. In the presented system, the local knowledge bases will be combined into groups in a dynamic way. We will seek to designate groups of local bases on which the test object is classified to the decision classes in a similar manner. Then, a process of knowledge inconsistencies elimination will be implemented for created groups. Global decisions will be made using one of the methods for analysis of conflicts.