Author
Tunalı, Okan, Aydoğan, R., Sanchez-Anguix, V.
Publication Date
2017
Publication Place
-
Springer International Publishing
Subject
Agreement technologies, Automated negotiation, Opponent modeling, Multi-agent systems
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
978-3-319-69130-5
Record ID
12479ece-a95a-4a24-ad9c-ab823a2aa05f
Date
2017
Notes
Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text
Frequency opponent modeling is one of the most widely used opponent modeling techniques in automated negotiation, due to its simplicity and its good performance. In fact, it outperforms even more complex mechanisms like Bayesian models. Nevertheless, the classical frequency model does not come without its own assumptions, some of which may not always hold in many realistic settings. This paper advances the state of the art in opponent modeling in automated negotiation by introducing a novel frequency opponent modeling mechanism, which soothes some of the assumptions introduced by classical frequency approaches. The experiments show that our proposed approach outperforms the classic frequency model in terms of evaluation of the outcome space, estimation of the Pareto frontier, and accuracy of both issue value evaluation estimation and issue weight estimation.
DOI
10.1007/978-3-319-69131-2_16
Cilt
10621
