A neural network-based model to learn agent's utility function

A neural network-based model to learn agent's utility function

Learning opponents’ preferences has a great impact on the success of negotiation, specially, when there is partial information about opponents. This incomplete information can be effectively utilized by intelligent agents equipped with adaptive capacities to learn opponents’ preferences during negot...

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Bibliographic Details
Main Authors: Jazayeriy, Hamid, Azmi Murad, Masrah Azrifah, Sulaiman, Md. Nasir, Udzir, Nur Izura
Format: Conference or Workshop Item
Language:English
Published: IEEE 2008
Online Access:http://psasir.upm.edu.my/id/eprint/33085/1/A%20neural%20network-based%20model%20to%20learn%20agent%27s%20utility%20function.pdf

Internet

http://psasir.upm.edu.my/id/eprint/33085/1/A%20neural%20network-based%20model%20to%20learn%20agent%27s%20utility%20function.pdf

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