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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems |
| Pages | 27-33 |
| Number of pages | 7 |
| Volume | 2006 |
| DOIs | |
| Publication status | Published - 2006 Dec 1 |
| Externally published | Yes |
| Event | Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS - Hakodate Duration: 2006 May 8 → 2006 May 12 |
Other
| Other | Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS |
|---|---|
| City | Hakodate |
| Period | 06/5/8 → 06/5/12 |
Fingerprint
Keywords
- Agent-based simulations
- Negotiations
- Participatory simulations
- Power relations
ASJC Scopus subject areas
- Engineering(all)
Cite this
Power and negotiation : Lessons from agent-based participatory simulations. / Guyot, Paul; Drogoul, Alexis; Honiden, Shinichi.
Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems. Vol. 2006 2006. p. 27-33.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Power and negotiation
T2 - Lessons from agent-based participatory simulations
AU - Guyot, Paul
AU - Drogoul, Alexis
AU - Honiden, Shinichi
PY - 2006/12/1
Y1 - 2006/12/1
N2 - 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.
AB - 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.
KW - Agent-based simulations
KW - Negotiations
KW - Participatory simulations
KW - Power relations
UR - http://www.scopus.com/inward/record.url?scp=34247227622&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34247227622&partnerID=8YFLogxK
U2 - 10.1145/1160633.1160636
DO - 10.1145/1160633.1160636
M3 - Conference contribution
SN - 1595933034
SN - 9781595933034
VL - 2006
SP - 27
EP - 33
BT - Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems
ER -