A fuzzy constraint-based agent negotiation with opponent learning
ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
Modeling opponent's beliefs via fuzzy constraint-directed approach in agent negotiation
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
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Based on fuzzy techniques, the paper develops an agent-based approach for meeting scheduling problems. Compared with previous works, it is novel in three aspects. First, a meeting-scheduling problem is modeled by FCSPs in multi-agent environment. Second, a kind of selfish protocol is presented. An appointment made through this protocol is an overall optimum common time slot. Third, an axiomatic framework is identified for fusing agents' individual evaluations for a common time slot. The framework is also applicable to solution synthesis in distributed expert systems, parallel combination operations in expert systems and aggregation operations in fuzzy mathematics. It is worth further developing: 1) other protocols for more complicated meeting scheduling problems; and 2) other models for fusing agents' individual evaluations for a common time slot.