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Influence of social relationships on multiagent persuasion

Authors:

Katsunori Kadowaki,

Kazuki Kobayashi,

Yasuhiko KitamuraAuthors Info & Claims

AAMAS '08: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3

Pages 1221 - 1224

Published: 12 May 2008 Publication History

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Abstract

Life-like agents have the potential to make e-shopping sites on the Web more attractive and persuasive; our interest is to determine how multiple life-like agents should behave as a team to persuade customers. To know how the social relationships among two agents and a human user impacts the effectiveness of persuasion from the viewpoint of the balance theory, we develop a multi-agent persuasion system. In the system, the agents construct a social relationship to the user, and they then try to persuade him/her to select items that they recommend. An evaluation shows that a balanced relationship yields better performance than an imbalanced one.

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Cited By

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Sono TOosumi TImai MKuzuoka HOno TImai MYoung J(2014)SB simulatorProceedings of the second international conference on Human-agent interaction10.1145/2658861.2658885(301-307)Online publication date: 29-Oct-2014
https://dl.acm.org/doi/10.1145/2658861.2658885
Tondu BBillard AKahn PAdams JTrafton G(2011)A theoretical heider's based model for opinion-changes analysis during a robotization social processProceedings of the 6th international conference on Human-robot interaction10.1145/1957656.1957765(269-270)Online publication date: 6-Mar-2011
https://dl.acm.org/doi/10.1145/1957656.1957765
Zhao KYen JMaitland CTapia ATchouakeu LWainer GShaffer CMcGraw RChinni M(2009)A formal model for emerging coalitions under network influence in humanitarian relief coordinationProceedings of the 2009 Spring Simulation Multiconference10.5555/1639809.1639820(1-7)Online publication date: 22-Mar-2009
https://dl.acm.org/doi/10.5555/1639809.1639820

Index Terms

Influence of social relationships on multiagent persuasion
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
2. Information systems
  1. Information systems applications
    1. Multimedia information systems

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AAMAS '08: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3

May 2008

503 pages

ISBN:9780981738123

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International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

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Published: 12 May 2008

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AAMAS08

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AAMAS08: 7th International Conference on Autonomous Agents and Multi Agent Systems

May 12 - 16, 2008

Estoril, Portugal

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Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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Sono TOosumi TImai MKuzuoka HOno TImai MYoung J(2014)SB simulatorProceedings of the second international conference on Human-agent interaction10.1145/2658861.2658885(301-307)Online publication date: 29-Oct-2014
https://dl.acm.org/doi/10.1145/2658861.2658885
Tondu BBillard AKahn PAdams JTrafton G(2011)A theoretical heider's based model for opinion-changes analysis during a robotization social processProceedings of the 6th international conference on Human-robot interaction10.1145/1957656.1957765(269-270)Online publication date: 6-Mar-2011
https://dl.acm.org/doi/10.1145/1957656.1957765
Zhao KYen JMaitland CTapia ATchouakeu LWainer GShaffer CMcGraw RChinni M(2009)A formal model for emerging coalitions under network influence in humanitarian relief coordinationProceedings of the 2009 Spring Simulation Multiconference10.5555/1639809.1639820(1-7)Online publication date: 22-Mar-2009
https://dl.acm.org/doi/10.5555/1639809.1639820

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The Effectiveness of Social Influence Tactics when Used by a Virtual Agent

Online Persuasion in Facebook and Mixi: A Cross-Cultural Comparison

Multiagent Reinforcement Social Learning toward Coordination in Cooperative Multiagent Systems

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The Effectiveness of Social Influence Tactics when Used by a Virtual Agent

Online Persuasion in Facebook and Mixi: A Cross-Cultural Comparison

Multiagent Reinforcement Social Learning toward Coordination in Cooperative Multiagent Systems

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