Changes between Version 97 and Version 98 of OpponentModels

Timestamp:

05/10/11 11:21:17 (14 years ago)

Author:

mark

Comment:

--

OpponentModels

@@ -51 +51 @@
 ||'''Cited'''||-||
 ||'''Subject(s)'''||||
-||'''Summary'''||||
+||'''Summary'''||The opponent model of FSEGA tries to approximate the ordering of the issues and the utility function of each issue by using Bayesian[[BR]] learning. Each value in an issue is imagined as approximating one of the three basic functions (downhill, uphill, triangular). Using[[BR]] the Bayesian formula, each hypothesis for a value is updated. Finally the hypothesis are combined based on their likelihood[[BR]] to determine the final form of the utility function for each value in the issue; combining these results in the utility function for[[BR]] an issue. Finally, the bidding strategy uses isocurves and the opponent model to increase acceptance.||
 ||'''Relevance'''||||
 ||'''Bibtex'''||X||