Adaptive Neural Networks for Automatic Negotiation

Journal Article · Wed Dec 26 00:00:00 EST 2007 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.2836003· OSTI ID:21049443

Sakas, D P; Vlachos, D S; Simos, T E ^[1]

---

1. University of Peloponnese, 22100 Tripoli (Greece)

The use of fuzzy logic and fuzzy neural networks has been found effective for the modelling of the uncertain relations between the parameters of a negotiation procedure. The problem with these configurations is that they are static, that is, any new knowledge from theory or experiment lead to the construction of entirely new models. To overcome this difficulty, we apply in this work, an adaptive neural topology to model the negotiation process. Finally a simple simulation is carried in order to test the new method.

• OSTI ID: 21049443
• Journal Information: AIP Conference Proceedings, Vol. 963, Issue 2; Conference: ICCMSE 2007: International conference on computational methods in science and engineering, Corfu (Greece), 25-30 Sep 2007; Other Information: DOI: 10.1063/1.2836003; (c) 2007 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
COMPUTERIZED SIMULATION
CONFIGURATION
FUZZY LOGIC
NEURAL NETWORKS
TOPOLOGY