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

Reyhan Aydoğan; 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 Aydoğan
, 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

29 Citations (Scopus)

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 - 17th European Conference, EUMAS 2020, and 7th International Conference, AT 2020, Revised Selected Papers
Editors	Nick Bassiliades, Georgios Chalkiadakis, Dave de Jonge
Publisher	Springer
Pages	366-381
Number of pages	16
ISBN (Print)	9783030664114
DOIs	https://doi.org/10.1007/978-3-030-66412-1_23
Publication status	Published - 2020
Event	17th European Conference on Multi-Agent Systems, EUMAS 2020, and 7th International Conference on Agreement Technologies, AT 2020 - Thessaloniki, Greece Duration: 14 Sept 2020 → 15 Sept 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12520 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th European Conference on Multi-Agent Systems, EUMAS 2020, and 7th International Conference on Agreement Technologies, AT 2020
Country/Territory	Greece
City	Thessaloniki
Period	14/09/20 → 15/09/20

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Access to Document

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

Cite this

Aydoğan, 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 - 17th European Conference, EUMAS 2020, and 7th International Conference, AT 2020, Revised Selected Papers (pp. 366-381). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12520 LNAI). Springer. https://doi.org/10.1007/978-3-030-66412-1_23

Aydoğan, Reyhan ; Baarslag, Tim ; Fujita, Katsuhide et al. / Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019. Multi-Agent Systems and Agreement Technologies - 17th European Conference, EUMAS 2020, and 7th International Conference, AT 2020, Revised Selected Papers. editor / Nick Bassiliades ; Georgios Chalkiadakis ; Dave de Jonge. Springer, 2020. pp. 366-381 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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 Aydoğan 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.\}",

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Aydoğan, 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 - 17th European Conference, EUMAS 2020, and 7th International Conference, AT 2020, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12520 LNAI, Springer, pp. 366-381, 17th European Conference on Multi-Agent Systems, EUMAS 2020, and 7th International Conference on Agreement Technologies, AT 2020, Thessaloniki, Greece, 14/09/20. https://doi.org/10.1007/978-3-030-66412-1_23

Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019. / Aydoğan, Reyhan; Baarslag, Tim; Fujita, Katsuhide et al.
Multi-Agent Systems and Agreement Technologies - 17th European Conference, EUMAS 2020, and 7th International Conference, AT 2020, Revised Selected Papers. ed. / Nick Bassiliades; Georgios Chalkiadakis; Dave de Jonge. Springer, 2020. p. 366-381 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12520 LNAI).

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

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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.

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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.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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EP - 381

BT - Multi-Agent Systems and Agreement Technologies - 17th European Conference, EUMAS 2020, and 7th International Conference, AT 2020, Revised Selected Papers

A2 - Bassiliades, Nick

A2 - Chalkiadakis, Georgios

A2 - de Jonge, Dave

PB - Springer

T2 - 17th European Conference on Multi-Agent Systems, EUMAS 2020, and 7th International Conference on Agreement Technologies, AT 2020

Y2 - 14 September 2020 through 15 September 2020

ER -

Aydoğan R, Baarslag T, Fujita K, Mell J, Gratch J, de Jonge D et al. Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019. In Bassiliades N, Chalkiadakis G, de Jonge D, editors, Multi-Agent Systems and Agreement Technologies - 17th European Conference, EUMAS 2020, and 7th International Conference, AT 2020, Revised Selected Papers. Springer. 2020. p. 366-381. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-66412-1_23

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

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