Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019

Reyhan Aydogan; Tim Baarslag; Katsuhide Fujita; Johnathan Mell; Jonathan Gratch; Dave de Jonge; Yasser Mohammad; Shinji Nakadai; Satoshi Morinaga; Hirotaka Osawa; Claus Aranha; Catholijn M. Jonker

doi:10.1007/978-3-030-66412-1_23

Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019

Reyhan Aydogan, Tim Baarslag, Katsuhide Fujita, Johnathan Mell, Jonathan Gratch, Dave de Jonge, Yasser Mohammad, Shinji Nakadai, Satoshi Morinaga, Hirotaka Osawa, Claus Aranha, Catholijn M. Jonker

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

The Automated Negotiating Agents Competition (ANAC) is a yearly-organized international contest in which participants from all over the world develop intelligent negotiating agents for a variety of negotiation problems. To facilitate the research on agent-based negotiation, the organizers introduce new research challenges every year. ANAC 2019 posed five negotiation challenges: automated negotiation with partial preferences, repeated human-agent negotiation, negotiation in supply-chain management, negotiating in the strategic game of Diplomacy, and in the Werewolf game. This paper introduces the challenges and discusses the main findings and lessons learnt per league.

Original language	English
Title of host publication	Multi-Agent Systems and Agreement Technologies
Editors	Nick Bassiliades, Georgios Chalkiadakis, Dave de Jonge
Place of Publication	Cham
Publisher	Springer
Pages	366-381
Number of pages	16
ISBN (Electronic)	978-3-030-66412-1
ISBN (Print)	978-3-030-66411-4
DOIs	https://doi.org/10.1007/978-3-030-66412-1_23
Publication status	Published - 2020

Access to Document

10.1007/978-3-030-66412-1_23

Aydoğan2020_Chapter_ChallengesAndMainResultsOfTheAFinal published version, 684 KBLicence: Taverne

Cite this

Aydogan, R., Baarslag, T., Fujita, K., Mell, J., Gratch, J., de Jonge, D., Mohammad, Y., Nakadai, S., Morinaga, S., Osawa, H., Aranha, C., & Jonker, C. M. (2020). Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019. In N. Bassiliades, G. Chalkiadakis, & D. de Jonge (Eds.), Multi-Agent Systems and Agreement Technologies (pp. 366-381). Springer. https://doi.org/10.1007/978-3-030-66412-1_23

@inproceedings{4bedc51155944771ad378208e56a3eef,

title = "Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019",

abstract = "The Automated Negotiating Agents Competition (ANAC) is a yearly-organized international contest in which participants from all over the world develop intelligent negotiating agents for a variety of negotiation problems. To facilitate the research on agent-based negotiation, the organizers introduce new research challenges every year. ANAC 2019 posed five negotiation challenges: automated negotiation with partial preferences, repeated human-agent negotiation, negotiation in supply-chain management, negotiating in the strategic game of Diplomacy, and in the Werewolf game. This paper introduces the challenges and discusses the main findings and lessons learnt per league.",

author = "Reyhan Aydogan and Tim Baarslag and Katsuhide Fujita and Johnathan Mell and Jonathan Gratch and {de Jonge}, Dave and Yasser Mohammad and Shinji Nakadai and Satoshi Morinaga and Hirotaka Osawa and Claus Aranha and Jonker, {Catholijn M.}",

year = "2020",

doi = "10.1007/978-3-030-66412-1_23",

language = "English",

isbn = "978-3-030-66411-4",

pages = "366--381",

editor = "Nick Bassiliades and Georgios Chalkiadakis and {de Jonge}, Dave",

booktitle = "Multi-Agent Systems and Agreement Technologies",

publisher = "Springer",

}

Aydogan, R, Baarslag, T, Fujita, K, Mell, J, Gratch, J, de Jonge, D, Mohammad, Y, Nakadai, S, Morinaga, S, Osawa, H, Aranha, C & Jonker, CM 2020, Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019. in N Bassiliades, G Chalkiadakis & D de Jonge (eds), Multi-Agent Systems and Agreement Technologies. Springer, Cham, pp. 366-381. https://doi.org/10.1007/978-3-030-66412-1_23

Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019. / Aydogan, Reyhan; Baarslag, Tim; Fujita, Katsuhide et al.
Multi-Agent Systems and Agreement Technologies. ed. / Nick Bassiliades; Georgios Chalkiadakis; Dave de Jonge. Cham: Springer, 2020. p. 366-381.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019

AU - Aydogan, Reyhan

AU - Baarslag, Tim

AU - Fujita, Katsuhide

AU - Mell, Johnathan

AU - Gratch, Jonathan

AU - de Jonge, Dave

AU - Mohammad, Yasser

AU - Nakadai, Shinji

AU - Morinaga, Satoshi

AU - Osawa, Hirotaka

AU - Aranha, Claus

AU - Jonker, Catholijn M.

PY - 2020

Y1 - 2020

N2 - The Automated Negotiating Agents Competition (ANAC) is a yearly-organized international contest in which participants from all over the world develop intelligent negotiating agents for a variety of negotiation problems. To facilitate the research on agent-based negotiation, the organizers introduce new research challenges every year. ANAC 2019 posed five negotiation challenges: automated negotiation with partial preferences, repeated human-agent negotiation, negotiation in supply-chain management, negotiating in the strategic game of Diplomacy, and in the Werewolf game. This paper introduces the challenges and discusses the main findings and lessons learnt per league.

AB - The Automated Negotiating Agents Competition (ANAC) is a yearly-organized international contest in which participants from all over the world develop intelligent negotiating agents for a variety of negotiation problems. To facilitate the research on agent-based negotiation, the organizers introduce new research challenges every year. ANAC 2019 posed five negotiation challenges: automated negotiation with partial preferences, repeated human-agent negotiation, negotiation in supply-chain management, negotiating in the strategic game of Diplomacy, and in the Werewolf game. This paper introduces the challenges and discusses the main findings and lessons learnt per league.

U2 - 10.1007/978-3-030-66412-1_23

DO - 10.1007/978-3-030-66412-1_23

M3 - Conference contribution

SN - 978-3-030-66411-4

SP - 366

EP - 381

BT - Multi-Agent Systems and Agreement Technologies

A2 - Bassiliades, Nick

A2 - Chalkiadakis, Georgios

A2 - de Jonge, Dave

PB - Springer

CY - Cham

ER -

Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019

Abstract

Access to Document

Fingerprint

Cite this