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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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/33085/1/A%20neural%20network-based%20model%20to%20learn%20agent%27s%20utility%20function.pdf http://psasir.upm.edu.my/id/eprint/33085/ |
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