Rethinking frequency opponent modeling in automated negotiation

Name: Rethinking frequency opponent modeling in automated negotiation
Author: Tunalı, Okan, Aydoğan, R., Sanchez-Anguix, V.

İsim	Rethinking frequency opponent modeling in automated negotiation
Yazar	Tunalı, Okan, Aydoğan, R., Sanchez-Anguix, V.
Basım Tarihi:	2017
Basım Yeri	- Springer International Publishing
Konu	Agreement technologies, Automated negotiation, Opponent modeling, Multi-agent systems
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-3-319-69130-5
Kayıt Numarası	12479ece-a95a-4a24-ad9c-ab823a2aa05f
Tarih	2017
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	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

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Rethinking frequency opponent modeling in automated negotiation

Yazar Tunalı, Okan, Aydoğan, R., Sanchez-Anguix, V.

Basım Tarihi 2017

Basım Yeri - Springer International Publishing

Konu Agreement technologies, Automated negotiation, Opponent modeling, Multi-agent systems

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-3-319-69130-5

Kayıt Numarası 12479ece-a95a-4a24-ad9c-ab823a2aa05f

Tarih 2017

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin 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