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NegoChat: a chat-based negotiation agent

Published: 05 May 2014 Publication History

Abstract

To date, a variety of automated negotiation agents have been created. While each of these agents has been shown to be effective in negotiating with people in specific environments, they lack natural language processing support required to enable real-world types of interactions. In this paper we present NegoChat, the first negotiation agent that successfully addresses this limitation. NegoChat contains several significant research contributions. First, we found that simply modifying existing agents to include an NLP module is insufficient to create these agents. Instead, the agents' strategies must be modified to address partial agreements and issue-by-issue interactions. Second, we present NegoChat's negotiation algorithm. This algorithm is based on bounded rationality, and specifically Aspiration Adaptation Theory (AAT). As per AAT, issues are addressed based on people's typical urgency, or order of importance. If an agreement cannot be reached based on the value the human partner demands, the agent retreats, or downwardly lowers the value of previously agreed upon issues so that a ``good enough'' agreement can be reached on all issues. This incremental approach is fundamentally different from all other negotiation agents, including the state-of-the-art KBAgent. Finally, we present a rigorous evaluation of NegoChat, showing its effectiveness.

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Cited By

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  • (2021)Pandemic PanicProceedings of the 21st ACM International Conference on Intelligent Virtual Agents10.1145/3472306.3478353(148-155)Online publication date: 14-Sep-2021
  • (2020)An Improvisational Approach to Acquire Social InteractionsProceedings of the 20th ACM International Conference on Intelligent Virtual Agents10.1145/3383652.3423903(1-8)Online publication date: 20-Oct-2020
  • (2019)Assessing Common Errors Students Make When NegotiatingProceedings of the 19th ACM International Conference on Intelligent Virtual Agents10.1145/3308532.3329470(30-37)Online publication date: 1-Jul-2019
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Published In

cover image ACM Other conferences
AAMAS '14: Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems
May 2014
1774 pages
ISBN:9781450327381

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  • IFAAMAS

In-Cooperation

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International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 05 May 2014

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Author Tags

  1. chat agent
  2. human-agent systems
  3. negotiation

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  • Research-article

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AAMAS '14
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AAMAS '14 Paper Acceptance Rate 169 of 709 submissions, 24%;
Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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Cited By

View all
  • (2021)Pandemic PanicProceedings of the 21st ACM International Conference on Intelligent Virtual Agents10.1145/3472306.3478353(148-155)Online publication date: 14-Sep-2021
  • (2020)An Improvisational Approach to Acquire Social InteractionsProceedings of the 20th ACM International Conference on Intelligent Virtual Agents10.1145/3383652.3423903(1-8)Online publication date: 20-Oct-2020
  • (2019)Assessing Common Errors Students Make When NegotiatingProceedings of the 19th ACM International Conference on Intelligent Virtual Agents10.1145/3308532.3329470(30-37)Online publication date: 1-Jul-2019
  • (2018)Detecting User's Likes and Dislikes for a Virtual Negotiating AgentProceedings of the 20th ACM International Conference on Multimodal Interaction10.1145/3242969.3243024(103-110)Online publication date: 2-Oct-2018
  • (2017)Towards An Autonomous Agent that Provides Automated Feedback on Students' Negotiation SkillsProceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems10.5555/3091125.3091187(410-418)Online publication date: 8-May-2017
  • (2017)Grumpy & PinocchioProceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems10.5555/3091125.3091186(401-409)Online publication date: 8-May-2017
  • (2017)An Automated Negotiation Agent for Permission ManagementProceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems10.5555/3091125.3091184(380-390)Online publication date: 8-May-2017
  • (2016)Predictive models of malicious behavior in human negotiationsProceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence10.5555/3060621.3060740(855-861)Online publication date: 9-Jul-2016
  • (2016)IAGOProceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems10.5555/2936924.2937230(1510-1512)Online publication date: 9-May-2016
  • (2016)The Misrepresentation GameProceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems10.5555/2936924.2937031(728-737)Online publication date: 9-May-2016
  • Show More Cited By

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