Enhancing Multi-Agent Based Simulation with Human-Like Decision Making Strategies

  • Emma Norling
  • Liz Sonenberg
  • Ralph Rönnquist
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1979)


We are exploring the enhancement of models of agent behaviour with more “human-like” decision making strategies than are presently available. Our motivation is to build multi-agent based simulations of human societies that would exhibit more realistic simulation behaviours. This in turn will allow researchers to study more complex issues regarding individual and organisational performance than is possible with present systems. Drawing on studies into naturalistic decision making, which looks at people’s decision making in their natural environments, we propose ways of integrating a recognition-primed decision making approach with the popular BDI agent architecture, and report on preliminary empirical studies.


Naturalistic Decision Plan Library Agent Orient Software Morning Rush Ablex Publishing Corporation 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Emma Norling
    • 1
  • Liz Sonenberg
    • 2
  • Ralph Rönnquist
    • 3
  1. 1.Computer Science and Software EngineeringThe University of MelbourneUSA>
  2. 2.Department of Information SystemsThe University of MelbourneUSA>
  3. 3.Agent Oriented Software Pty LtdUSA>

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