Modeling agents and interactions in agricultural economics

Daisuke Torii, Toru Ishida, Francois Bousquet

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

14 Citations (Scopus)

Abstract

When multiagent simulations are used for consensus building among stakeholders, it is important not only that the domain experts can deeply understand stakeholders' actual behavior but also that the stakeholders can feel the simulation result as their solution. To this end, we propose a modeling methodology which combines several techniques with the participatory method which takes stakeholders into the modeling process using role playing games (RPG). There are two types of model required to simulate a social system as a multiagent system: agents (internal models) and interactions. Hence, we considered a modeling method according to each character. In modeling an agent (e.g. decision making) which is implicit in human, the identification of the model greatly depends on the modeler's ability. Therefore we propose a modeling method wherein classification learning creates an alternative model from RPG log data for validating the domain experts' hypothesis. On the other hand, in modeling interactions (e.g. negotiation) which are emerged outside of human, it is rather important to show and capture continuously appeared interactions. Therefore we propose a modeling method with participatory simulation where a stakeholder participates as an avatar and agents act as the other stakeholders in order to deeply understand the stakeholders' interactions. Our methodology was effective to give the domain experts a deeper understanding through a real case study of agricultural economics in the northeast of Thailand [17].

Original languageEnglish
Title of host publicationProceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems
Pages81-88
Number of pages8
DOIs
Publication statusPublished - 2006 Dec 1
Externally publishedYes
EventFifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS - Hakodate, Japan
Duration: 2006 May 82006 May 12

Publication series

NameProceedings of the International Conference on Autonomous Agents
Volume2006

Conference

ConferenceFifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
CountryJapan
CityHakodate
Period06/5/806/5/12

    Fingerprint

Keywords

  • Design

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Torii, D., Ishida, T., & Bousquet, F. (2006). Modeling agents and interactions in agricultural economics. In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (pp. 81-88). (Proceedings of the International Conference on Autonomous Agents; Vol. 2006). https://doi.org/10.1145/1160633.1160643