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

Published: 05 November 2018 Publication History
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    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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    Cited By

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    • (2024)Multi-deal NegotiationProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3663255(2668-2673)Online publication date: 6-May-2024
    • (2023)AhBuNe Agent: Winner of the Eleventh International Automated Negotiating Agent Competition (ANAC 2020)Recent Advances in Agent-Based Negotiation: Applications and Competition Challenges10.1007/978-981-99-0561-4_6(102-118)Online publication date: 21-Mar-2023
    • (2023)Bidding Support by the Pocket Negotiator Improves Negotiation OutcomesRecent Advances in Agent-Based Negotiation: Applications and Competition Challenges10.1007/978-981-99-0561-4_4(52-83)Online publication date: 21-Mar-2023
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    1. Results of the First Annual Human-Agent League of the Automated Negotiating Agents Competition

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      cover image ACM Conferences
      IVA '18: Proceedings of the 18th International Conference on Intelligent Virtual Agents
      November 2018
      381 pages
      ISBN:9781450360135
      DOI:10.1145/3267851
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      New York, NY, United States

      Publication History

      Published: 05 November 2018

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      Author Tags

      1. Human-Agent Negotiation
      2. IAGO Negotiation Platform

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      • Research-article
      • Research
      • Refereed limited

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      IVA '18
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      IVA '18: International Conference on Intelligent Virtual Agents
      November 5 - 8, 2018
      NSW, Sydney, Australia

      Acceptance Rates

      IVA '18 Paper Acceptance Rate 17 of 82 submissions, 21%;
      Overall Acceptance Rate 53 of 196 submissions, 27%

      Upcoming Conference

      IVA '24
      ACM International Conference on Intelligent Virtual Agents
      September 16 - 19, 2024
      GLASGOW , United Kingdom

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      Cited By

      View all
      • (2024)Multi-deal NegotiationProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3663255(2668-2673)Online publication date: 6-May-2024
      • (2023)AhBuNe Agent: Winner of the Eleventh International Automated Negotiating Agent Competition (ANAC 2020)Recent Advances in Agent-Based Negotiation: Applications and Competition Challenges10.1007/978-981-99-0561-4_6(102-118)Online publication date: 21-Mar-2023
      • (2023)Bidding Support by the Pocket Negotiator Improves Negotiation OutcomesRecent Advances in Agent-Based Negotiation: Applications and Competition Challenges10.1007/978-981-99-0561-4_4(52-83)Online publication date: 21-Mar-2023
      • (2023)A Survey of Decision Support Mechanisms for NegotiationRecent Advances in Agent-Based Negotiation: Applications and Competition Challenges10.1007/978-981-99-0561-4_3(30-51)Online publication date: 21-Mar-2023
      • (2022)MORS 2022: The Second Workshop on Multi-Objective Recommender SystemsProceedings of the 16th ACM Conference on Recommender Systems10.1145/3523227.3547410(658-660)Online publication date: 12-Sep-2022
      • (2022)Would You Imagine Yourself Negotiating With a Robot, Jennifer? Why Not?IEEE Transactions on Human-Machine Systems10.1109/THMS.2021.312166452:1(41-51)Online publication date: Feb-2022
      • (2022)Multi-objective vehicle routing with automated negotiationApplied Intelligence10.1007/s10489-022-03329-252:14(16916-16939)Online publication date: 29-Mar-2022
      • (2021)Solver Agent: Towards Emotional and Opponent-Aware Agent for Human-Robot NegotiationProceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3463952.3464158(1557-1559)Online publication date: 3-May-2021
      • (2021)Bargaining ChipHandbook of Research on Applied AI for International Business and Marketing Applications10.4018/978-1-7998-5077-9.ch014(256-277)Online publication date: 2021
      • (2021)The Promise and Peril of Automated NegotiatorsNegotiation Journal10.1111/nejo.1234837:1(13-34)Online publication date: 6-Feb-2021
      • Show More Cited By

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