Results of the First Annual Human-Agent League of the Automated Negotiating Agents Competition

Johnathan Mell; Jonathan  Gratch; Tim Baarslag; Reyhan Aydogan; Catholijn M. Jonker

doi:10.1145/3267851.3267907

Results of the First Annual Human-Agent League of the Automated Negotiating Agents Competition

Johnathan Mell, Jonathan Gratch, Tim Baarslag, Reyhan Aydogan, Catholijn M. Jonker

Interactive Intelligence

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

33 Citations (Scopus)

36 Downloads (Pure)

Abstract

We present the results of the first annual Human-Agent League of ANAC. By introducing a new human-agent negotiating platform to the research community at large, we facilitated new advancements in human-aware agents. This has succeeded in pushing the envelope in agent design, and creating a corpus of useful human-agent interaction data. Our results indicate a variety of agents were submitted, and that their varying strategies had distinct outcomes on many measures of the negotiation. These agents approach the problems endemic to human negotiation, including user modeling, bidding strategy, rapport techniques, and strategic bargaining. Some agents employed advanced tactics in information gathering or emotional displays and gained more points than their opponents, while others were considered more "likeable" by their partners.

Original language	English
Title of host publication	IVA '18 Proceedings of the 18th International Conference on Intelligent Virtual Agents
Place of Publication	New York
Publisher	Association for Computing Machinery (ACM)
Pages	23-28
Number of pages	6
ISBN (Print)	978-1-4503-6013-5
DOIs	https://doi.org/10.1145/3267851.3267907
Publication status	Published - 2018
Event	IVA 2018: The 18th International Conference on Intelligent Virtual Agents - Sydney, Australia Duration: 5 Nov 2018 → 8 Nov 2018 Conference number: 18th

Conference

Conference	IVA 2018
Abbreviated title	IVA'18
Country/Territory	Australia
City	Sydney
Period	5/11/18 → 8/11/18

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Human-Agent Negotiation
IAGO Negotiation Platform

Access to Document

10.1145/3267851.3267907

p23-mellFinal published version, 1.08 MB

Cite this

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title = "Results of the First Annual Human-Agent League of the Automated Negotiating Agents Competition",

abstract = "We present the results of the first annual Human-Agent League of ANAC. By introducing a new human-agent negotiating platform to the research community at large, we facilitated new advancements in human-aware agents. This has succeeded in pushing the envelope in agent design, and creating a corpus of useful human-agent interaction data. Our results indicate a variety of agents were submitted, and that their varying strategies had distinct outcomes on many measures of the negotiation. These agents approach the problems endemic to human negotiation, including user modeling, bidding strategy, rapport techniques, and strategic bargaining. Some agents employed advanced tactics in information gathering or emotional displays and gained more points than their opponents, while others were considered more {"}likeable{"} by their partners.",

keywords = "Human-Agent Negotiation, IAGO Negotiation Platform",

author = "Johnathan Mell and Jonathan Gratch and Tim Baarslag and Reyhan Aydogan and Jonker, {Catholijn M.}",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; IVA 2018 : The 18th International Conference on Intelligent Virtual Agents , IVA'18 ; Conference date: 05-11-2018 Through 08-11-2018",

year = "2018",

doi = "10.1145/3267851.3267907",

language = "English",

isbn = "978-1-4503-6013-5",

pages = "23--28",

booktitle = "IVA '18 Proceedings of the 18th International Conference on Intelligent Virtual Agents",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

}

Mell, J, Gratch, J, Baarslag, T, Aydogan, R & Jonker, CM 2018, Results of the First Annual Human-Agent League of the Automated Negotiating Agents Competition. in IVA '18 Proceedings of the 18th International Conference on Intelligent Virtual Agents . Association for Computing Machinery (ACM), New York, pp. 23-28, IVA 2018, Sydney, Australia, 5/11/18. https://doi.org/10.1145/3267851.3267907

Results of the First Annual Human-Agent League of the Automated Negotiating Agents Competition. / Mell, Johnathan; Gratch, Jonathan ; Baarslag, Tim et al.
IVA '18 Proceedings of the 18th International Conference on Intelligent Virtual Agents . New York: Association for Computing Machinery (ACM), 2018. p. 23-28.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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N2 - We present the results of the first annual Human-Agent League of ANAC. By introducing a new human-agent negotiating platform to the research community at large, we facilitated new advancements in human-aware agents. This has succeeded in pushing the envelope in agent design, and creating a corpus of useful human-agent interaction data. Our results indicate a variety of agents were submitted, and that their varying strategies had distinct outcomes on many measures of the negotiation. These agents approach the problems endemic to human negotiation, including user modeling, bidding strategy, rapport techniques, and strategic bargaining. Some agents employed advanced tactics in information gathering or emotional displays and gained more points than their opponents, while others were considered more "likeable" by their partners.

AB - We present the results of the first annual Human-Agent League of ANAC. By introducing a new human-agent negotiating platform to the research community at large, we facilitated new advancements in human-aware agents. This has succeeded in pushing the envelope in agent design, and creating a corpus of useful human-agent interaction data. Our results indicate a variety of agents were submitted, and that their varying strategies had distinct outcomes on many measures of the negotiation. These agents approach the problems endemic to human negotiation, including user modeling, bidding strategy, rapport techniques, and strategic bargaining. Some agents employed advanced tactics in information gathering or emotional displays and gained more points than their opponents, while others were considered more "likeable" by their partners.

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KW - IAGO Negotiation Platform

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ER -

Results of the First Annual Human-Agent League of the Automated Negotiating Agents Competition

Abstract

Conference

Bibliographical note

Keywords

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