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Multi-Agent Social Simulation

  • Itsuki Noda
  • Peter Stone
  • Tomohisa Yamashita
  • Koichi Kurumatani

Abstract

While ambient intelligence and smart environments (AISE) technologies are expected to provide large impacts to human lives and social activities, it is generally difficult to show utilities and effects of these technologies on societies. AISE technologies are not only methods to improve performance and functionality of existing services in the society, but also frameworks to introduce new systems and services to the society. For example, no one expected beforehand what Internet or mobile phone brought into out social activities and services, although they changes our social system and patterns of behaviors drastically and emerge new services (and risks, unfortunately). The main reason of this difficulty is that actual effects of IT systems appear when enough number of people in the society use the technologies.

Keywords

Receive Signal Strength Autonomous Vehicle Contribution Ratio Adaptive Cruise Control Staying Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Itsuki Noda
    • 1
  • Peter Stone
    • 2
  • Tomohisa Yamashita
    • 1
  • Koichi Kurumatani
    • 1
  1. 1.Japan
  2. 2.Department of Computer SciencesThe University of TexasUSA

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