• DocumentCode
    3043367
  • Title

    Incremental and Situated Modeling for Multi-Agent Based Simulations

  • Author

    Sempé, François ; Gil-Quijano, Javier

  • Author_Institution
    UMIUMMISCO (IRD/IFI), Ha Noi, Vietnam
  • fYear
    2010
  • fDate
    1-4 Nov. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper addresses the problem of modeling complex behaviors, especially social human behaviors, in multi-agent based simulations. Incremental approaches, - a first and simple model that is enhanced step by step - are a common way to deal with complexity. We argue that incremental modeling is a valuable methodology, but needs to be assisted both to quicken the modeling iterations and to enable a smooth and intuitive increase in complexity. Our proposal is based on a software environment that enables easy evaluation, comparison and manipulation of simulations, and situated modeling. Situated modeling is a procedure that allows the modeler to adjust the behavior of an agent in a specific context from a simulation. Those adjustments enrich little by little the agent decision mechanism with new situations. Our incremental modeling environment and preliminary results in situated modeling are presented in the context of the SMACH platform. This research project aims to study the use of electrical appliances by the inhabitants of an intelligent house.
  • Keywords
    behavioural sciences computing; decision making; iterative methods; multi-agent systems; SMACH platform; agent decision mechanism; complex behaviors modeling; modeling iterations; multiagent based simulations; social human behaviors; Adaptation model; Clustering algorithms; Context; Context modeling; Humans; Moment methods; Numerical models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2010 IEEE RIVF International Conference on
  • Conference_Location
    Hanoi
  • Print_ISBN
    978-1-4244-8074-6
  • Type

    conf

  • DOI
    10.1109/RIVF.2010.5633177
  • Filename
    5633177