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ABSTRACT

In this communication we consider the problem of modeling a multi agents system evolving over a bi dimensional grid. Starting from an initial state, it is considered that the overall aim of the agent population is to behave so that the system reaches a desired final state in a minimum time. Each agent is characterized by motion parameters while to each cell is associated a current capacity. The application of interest in this study is relative to emergency evacuation of aircraft and the influence of cabin crew over its performance. A non-standard assignment problem is formulated so that cabin crew can be used efficiently during emergency evacuation. The solution of this problem should provide minimum time standards as well as insights for the design of personal guidance assistance in emergency situations.

REFERENCES

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence
            Subjects: Multiagent systems

Additional Classification:
  B. Hardware
  B.6 LOGIC DESIGN
      B.6.1 Design Styles
          Subjects: Cellular arrays and automata

  G. Mathematics of Computing
  G.1 NUMERICAL ANALYSIS
      G.1.6 Optimization
          Subjects: Stochastic programming

  I. Computing Methodologies
  I.6 SIMULATION AND MODELING
      I.6.5 Model Development
      I.6.8 Types of Simulation
          Subjects: Combined

Keywords:
aircraft emergency evacuation, cellular automata, distributed artificial intelligence, human behavior, intelligent agents, modeling, multiagent systems