Article

Power and negotiation: lessons from agent-based participatory simulations

Authors:

Alexis Drogoul,

Shinichi HonidenAuthors Info & Claims

AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems

Pages 27 - 33

https://doi.org/10.1145/1160633.1160636

Published: 08 May 2006 Publication History

Abstract

Participatory simulations are conducted to improve our knowledge of human behaviors, to help in solving conflicts, to shape interaction protocols between humans and to teach some aspects of collective management.Agent-based participatory simulations differ from other kinds of participatory simulations including role playing games and experimental economics simulations. The control architecture of the agents, in these simulations, is more or less integrally replaced by a human player and the interactions between players are limited by the communication protocols designed for the agents, usually the exchange of electronic messages logged for further analysis. Such systems can be considered as ideal multi-agent systems featuring cognitive and intelligent agents. Previous work demonstrated that running this kind of simulations helps to design and improve multi-agent simulations.In this paper, we present a series of agent-based participatory experiments studying negotiation in an abstract case of common resource pool management. The roles were designed in such a way that conflicts should emerge during the negotiations. Observing the behavior of human players, we noticed the apparition of power relations between players. We observed that this power in negotiations was unrelated to any a priori dependence between agents or between roles but was instead drawn from strategies and, more surprisingly, this power was built on an emerging ontology.

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Published In

cover image ACM Conferences

AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems

May 2006

1631 pages

ISBN:1595933034

DOI:10.1145/1160633

General Chairs:
Hideyuki Nakashima
Future University - Hakodate, Japan
,
Michael Wellman
University of Michigan
,
Program Chairs:
Gerhard Weiss
Technical University Munich, Germany
,
Peter Stone
The University of Texas at Austin

Copyright © 2006 ACM.

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 ACM 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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IFMAS: The International Foundation for Multiagent Systems
SIGAI: ACM Special Interest Group on Artificial Intelligence
ATAL: The International Workshop on Agent Theories, Architectures, and Languages

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 May 2006

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AAMAS06: AAMAS '06 - 5th International Joint Conference on Autonomous Agents and Multi-agent Systems 2006

May 8 - 12, 2006

Japan, Hakodate

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Kozmenko VKozmenko LLee SCornett EKaye A(2024)Simulation Training for SedationModerate and Deep Sedation in Clinical Practice10.1017/9781009233293.016(194-202)Online publication date: 12-Dec-2024
https://doi.org/10.1017/9781009233293.016
Tomlinson BSilberman MTorrance ASquire KAtwal PMandalik ARailkar SBlack RBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)A Participatory Simulation of the Accountable Capitalism ActProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376326(1-13)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376326
Le Page CPerrotton A(2018)KILT: A Modelling Approach Based on Participatory Agent-Based Simulation of Stylized Socio-Ecosystems to Stimulate Social Learning with Local StakeholdersMulti-Agent Based Simulation XVIII10.1007/978-3-319-91587-6_11(156-169)Online publication date: 13-May-2018
https://doi.org/10.1007/978-3-319-91587-6_11
Briot JIrving MFilho JMendes de Melo GAlvarez ISordoni APereira de Lucena C(2017)Participatory Management of Protected Areas for Biodiversity Conservation and Social InclusionMulti-Agent-Based Simulations Applied to Biological and Environmental Systems10.4018/978-1-5225-1756-6.ch013(295-332)Online publication date: 2017
https://doi.org/10.4018/978-1-5225-1756-6.ch013
Le Page CPerrotton A(2017)KILT: A Modelling Approach Based on Participatory Agent-Based Simulation of Stylized Socio-Ecosystems to Stimulate Social Learning with Local StakeholdersAutonomous Agents and Multiagent Systems10.1007/978-3-319-71679-4_3(31-44)Online publication date: 25-Nov-2017
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Geller AMoss S(2013)Modeling Power and Authority: An Emergentist View from AfghanistanSimulating Social Complexity10.1007/978-3-540-93813-2_25(667-708)Online publication date: 18-Feb-2013
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Scerri DHickmott SPadgham LRose OUhrmacher A(2012)User understanding of cognitive processes in simulationProceedings of the Winter Simulation Conference10.5555/2429759.2430083(1-12)Online publication date: 9-Dec-2012
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Chu TDrogoul ABoucher AJucker J(2010)Towards a methodology for the participatory design of agent-based modelsProceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems10.1007/978-3-642-25920-3_31(428-442)Online publication date: 12-Nov-2010
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