How automated agents treat humans and other automated agents in situations of inequity: an experimental study
Authors: 
Ron Katz, Sarit KrausAuthors Info & Claims
Ron Katz, Sarit KrausAuthors Info & ClaimsPages 1497 - 1500
Abstract
This paper explores the question of how agent designers perceive and treat their agent's opponents. In particular, it examines the influence of the opponent's identity (human vs. automated agent) in negotiations. We empirically demonstrate that when people interact spontaneously they treat human opponents differently than automated agents in the context of equity and fairness considerations. However, these difference vanish when people design and implement agents that will interact on their behalf. Nevertheless, the commitment of the agents to honor agreements with people is higher than their commitment to other agents. In the experiments, which comprised 147 computer science students, we used the Colored Trails game as the negotiation environment. We suggest possible explanations for the relationships among online players, agent designers, human opponents and automated opponents.
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- How automated agents treat humans and other automated agents in situations of inequity: an experimental study
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Information
Published In
May 2008
503 pages
ISBN:9780981738123
Sponsors
- ACM: Association for Computing Machinery
- AAAI: Association for the Advancement of Artifical Intelligence
Publisher
International Foundation for Autonomous Agents and Multiagent Systems
Richland, SC
Publication History
Published: 12 May 2008
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AAMAS08
Sponsor:
- ACM
- AAAI
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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