Agent-based modelling and simulation: Examples from competitive market and group dynamics

Ly-Fie Sugianto, Kaivalya Prasad, Zhigang Liao, Sen Sendjaya

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review


The purpose of this paper is to demonstrate the usefulness of complex systems paradigm in studying real life phenomena. In this paper, we depict the phenomena from two distinctive domains: the competitive behavior of power generators in an auction-based electricity market and group dynamics and performance in an organizational context. Agent based modeling has been employed as the research method to conduct computer experiments. In this paper, we include the formal knowledge representation defining the types of agents in each domain, together with the properties, relationships, processes and events associated with the agents. Emergence from the first study include collusion and capacity withholding to inflate price, whereas in the second study, we observe that timely completion of group task is not always accompanied by a high level of group satisfaction. These emergence are evidence that we can gain new knowledge from the Sciences of the Artificial.

Original languageEnglish
Title of host publicationArtificial Intelligence and Soft Computing
Subtitle of host publication11th International Conference, ICAISC 2012 - Zakopane, Poland, April/May 2012 - Proceedings, Part II
EditorsLeszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada
Number of pages8
Volume7268 LNAI
ISBN (Electronic)9783642293504
ISBN (Print)9783642293498
Publication statusPublished - 2012
EventInternational Conference on Artificial Intelligence and Soft Computing 2012 - Zakopane, Poland
Duration: 29 Apr 20123 May 2012
Conference number: 11th (Proceedings)

Publication series

NameLecture Notes in Computer Science
Volume7268 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Artificial Intelligence and Soft Computing 2012
Abbreviated titleICAISC 2012
Internet address


  • Agent-based model
  • Artificial intelligence
  • Complex systems

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