Multilevel MAS Architecture for Vehicles Knowledge Propagating

Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 156)

Abstract

Completely autonomous vehicles in traffic should allow to decrease the number of road accident victims greatly, and should allow gains in terms of performance and economy. Models of the interaction among the different vehicles is one of the main challenges. We propose in this paper a model of communication of knowledge between mobile agents on a traffic network. The model of knowledge and of interaction enables to propagate new knowledge without overloading the system with a too large number of communications. For that, only the new knowledge is communicated, and two agents communicate the same knowledge only once. In order to allow agents to update their knowledge (perceived or created), a notion of degradation is used. A simulator has been built to evaluate the proposal.

Keywords

Multiagent System Mobile Agent Good Path Autonomous Vehicle Road Sign 
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-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Emmanuel Adam
    • 1
    • 2
    • 3
  • René Mandiau
    • 1
    • 2
    • 3
  • Emmanuelle Grislin
    • 1
    • 2
    • 3
  1. 1.Lille Nord de FranceLilleFrance
  2. 2.UVHC, LAMIHValenciennesFrance
  3. 3.CNRS, UMR 8201ValenciennesFrance

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