The likeability-success tradeoff: results of the 2nd annual human-agent automated negotiating agents competition

Name: The likeability-success tradeoff: results of the 2nd annual human-agent automated negotiating agents competition
Author: Mell, J., Gratch, J., Aydoğan, Reyhan, Baarslag, T., Jonker, C. M.

İsim	The likeability-success tradeoff: results of the 2nd annual human-agent automated negotiating agents competition
Yazar	Mell, J., Gratch, J., Aydoğan, Reyhan, Baarslag, T., Jonker, C. M.
Basım Tarihi:	2019
Basım Yeri	- IEEE
Konu	Human agent interaction, Negotiation, Empirical results in HCI
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-7281-3888-6
Kayıt Numarası	243ed763-5a40-480b-bebc-f90d64629e0d
Lokasyon	Computer Science
Tarih	2019
Notlar	Netherlands Organization for Scientific Research (NWO) ; United States Department of Defense Air Force Office of Scientific Research (AFOSR)
Örnek Metin	We present the results of the 2nd Annual Human-Agent League of the Automated Negotiating Agent Competition. Building on the success of the previous year's results, a new challenge was issued that focused exploring the likeability-success tradeoff in negotiations. By examining a series of repeated negotiations, actions may affect the relationship between automated negotiating agents and their human competitors over time. The results presented herein support a more complex view of human-agent negotiation and capture of integrative potential (win-win solutions). We show that, although likeability is generally seen as a tradeoff to winning, agents are able to remain well-liked while winning if integrative potential is not discovered in a given negotiation. The results indicate that the top-performing agent in this competition took advantage of this loophole by engaging in favor exchange across negotiations (cross-game logrolling). These exploratory results provide information about the effects of different submitted "black-box" agents in humanagent negotiation and provide a state-of-the-art benchmark for human-agent design.
DOI	10.1109/ACII.2019.8925437

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The likeability-success tradeoff: results of the 2nd annual human-agent automated negotiating agents competition

Yazar Mell, J., Gratch, J., Aydoğan, Reyhan, Baarslag, T., Jonker, C. M.

Basım Tarihi 2019

Basım Yeri - IEEE

Konu Human agent interaction, Negotiation, Empirical results in HCI

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-7281-3888-6

Kayıt Numarası 243ed763-5a40-480b-bebc-f90d64629e0d

Lokasyon Computer Science

Tarih 2019

Notlar Netherlands Organization for Scientific Research (NWO) ; United States Department of Defense Air Force Office of Scientific Research (AFOSR)

Örnek Metin We present the results of the 2nd Annual Human-Agent League of the Automated Negotiating Agent Competition. Building on the success of the previous year's results, a new challenge was issued that focused exploring the likeability-success tradeoff in negotiations. By examining a series of repeated negotiations, actions may affect the relationship between automated negotiating agents and their human competitors over time. The results presented herein support a more complex view of human-agent negotiation and capture of integrative potential (win-win solutions). We show that, although likeability is generally seen as a tradeoff to winning, agents are able to remain well-liked while winning if integrative potential is not discovered in a given negotiation. The results indicate that the top-performing agent in this competition took advantage of this loophole by engaging in favor exchange across negotiations (cross-game logrolling). These exploratory results provide information about the effects of different submitted "black-box" agents in humanagent negotiation and provide a state-of-the-art benchmark for human-agent design.

DOI 10.1109/ACII.2019.8925437