AhBuNe agent: Winner of the eleventh international automated negotiating agent competition (ANAC 2020)

Name: AhBuNe agent: Winner of the eleventh international automated negotiating agent competition (ANAC 2020)
Author: Yıldırım, Ahmet Burak, Sunman, Nezih, Aydoğan, Reyhan

İsim	AhBuNe agent: Winner of the eleventh international automated negotiating agent competition (ANAC 2020)
Yazar	Yıldırım, Ahmet Burak, Sunman, Nezih, Aydoğan, Reyhan
Basım Tarihi:	2023
Basım Yeri	- Springer
Konu	Agent competition, Automated negotiation, Negotiation strategy, Partial preference ordering
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-981990560-7
Kayıt Numarası	8d4bf5c7-2c89-406e-a268-64164111ceca
Tarih	2023
Örnek Metin	The International Automated Negotiating Agent Competition introduces a new challenge each year to facilitate the research on agent-based negotiation and provide a test benchmark. ANAC 2020 addressed the problem of designing effective agents that do not know their users’ complete preferences in addition to their opponent’s negotiation strategy. Accordingly, this paper presents the negotiation strategy of the winner agent called “AhBuNe Agent”. The proposed heuristic-based bidding strategy checks whether it has sufficient orderings to reason about its complete preferences and accordingly decides whether to sacrifice some utility in return for preference elicitation. While making an offer, it uses the most-desired known outcome as a reference and modifies the content of the bid by adopting a concession-based strategy. By analyzing the content of the given ordered bids, the importance ranking of the issues is estimated. As our agent adopts a fixed time-based concession strategy and takes the estimated issue importance ranks into account, it determines to what extent the issues are to be modified. The evaluation results of the ANAC 2020 show that our agent beats the other participating agents in terms of the received individual score.
DOI	10.1007/978-981-99-0561-4_6
Cilt	1092 SCI

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AhBuNe agent: Winner of the eleventh international automated negotiating agent competition (ANAC 2020)

Yazar Yıldırım, Ahmet Burak, Sunman, Nezih, Aydoğan, Reyhan

Basım Tarihi 2023

Basım Yeri - Springer

Konu Agent competition, Automated negotiation, Negotiation strategy, Partial preference ordering

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-981990560-7

Kayıt Numarası 8d4bf5c7-2c89-406e-a268-64164111ceca

Tarih 2023

Örnek Metin The International Automated Negotiating Agent Competition introduces a new challenge each year to facilitate the research on agent-based negotiation and provide a test benchmark. ANAC 2020 addressed the problem of designing effective agents that do not know their users’ complete preferences in addition to their opponent’s negotiation strategy. Accordingly, this paper presents the negotiation strategy of the winner agent called “AhBuNe Agent”. The proposed heuristic-based bidding strategy checks whether it has sufficient orderings to reason about its complete preferences and accordingly decides whether to sacrifice some utility in return for preference elicitation. While making an offer, it uses the most-desired known outcome as a reference and modifies the content of the bid by adopting a concession-based strategy. By analyzing the content of the given ordered bids, the importance ranking of the issues is estimated. As our agent adopts a fixed time-based concession strategy and takes the estimated issue importance ranks into account, it determines to what extent the issues are to be modified. The evaluation results of the ANAC 2020 show that our agent beats the other participating agents in terms of the received individual score.

DOI 10.1007/978-981-99-0561-4_6

Cilt 1092 SCI