Building coalitions involving agents and humans: Reports from agent-based participatory simulations

Paul Guyot, Shinichi Honiden

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Agent-based participatory simulations are laboratory experiments designed like agent-based simulations and where humans access the simulation as software agents. This paper describes the outcomes of six experiments lasting up to two hours each, where human players took part in an iterated game derived from the El Farol bar problem. Agents decide synchronously to go to the bar or to stay home and the benefit depends on the bar attendance, with a threshold effect: it is better to stay home if more than 60% of the agents go. Contrasting with the original version of this problem, we allowed agents, and therefore humans, to communicate before they took their decision. The first two experiments allowed us to train participants and to introduce the notion of teams. Teams represented coalitions within the game and positively affected scoring, but they were not part of an obvious solution to the problem and they did not enforce cooperative behavior in the game. Drawing from these experiments, we designed autonomous agents reproducing strategies of the participants. These agents took part in the last four participatory experiments and we observed the formation of coalitions between agents, between humans and between agents and humans.

Original languageEnglish
Title of host publicationAAMAS'07 - Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems
Pages1257-1259
Number of pages3
DOIs
Publication statusPublished - 2007 Dec 1
Externally publishedYes
Event6th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS'07 - Honolulu, HI
Duration: 2008 May 142008 May 18

Other

Other6th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS'07
CityHonolulu, HI
Period08/5/1408/5/18

Fingerprint

Coalitions
Simulation
Experiments
Experiment
Game
Autonomous agents
Software agents
Cooperative Behavior
Software Agents
Autonomous Agents
Agent-based Simulation
Human
Scoring

Keywords

  • Agent-based simulations
  • Coalition formation
  • El Farol bar problem
  • Participatory simulations

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Computer Networks and Communications
  • Theoretical Computer Science

Cite this

Guyot, P., & Honiden, S. (2007). Building coalitions involving agents and humans: Reports from agent-based participatory simulations. In AAMAS'07 - Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (pp. 1257-1259). [210] https://doi.org/10.1145/1329125.1329379

Building coalitions involving agents and humans : Reports from agent-based participatory simulations. / Guyot, Paul; Honiden, Shinichi.

AAMAS'07 - Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems. 2007. p. 1257-1259 210.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Guyot, P & Honiden, S 2007, Building coalitions involving agents and humans: Reports from agent-based participatory simulations. in AAMAS'07 - Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems., 210, pp. 1257-1259, 6th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS'07, Honolulu, HI, 08/5/14. https://doi.org/10.1145/1329125.1329379
Guyot P, Honiden S. Building coalitions involving agents and humans: Reports from agent-based participatory simulations. In AAMAS'07 - Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems. 2007. p. 1257-1259. 210 https://doi.org/10.1145/1329125.1329379
Guyot, Paul ; Honiden, Shinichi. / Building coalitions involving agents and humans : Reports from agent-based participatory simulations. AAMAS'07 - Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems. 2007. pp. 1257-1259
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