A distributed intelligent discrete-event environment for autonomous agents simulation

  • Authors:

  • M. Jamshidi;S. Sheikh-Bahaei;J. Kitzinger;P. Sridhar;S. Xia;Y. Wang;J. Liu;E. Tunstel, Jr.;M. Akbarzadeh;A. El-Osery;M. Fathi;X. Hu;B. P. Zeigler

  • Affiliations:

  • Department of Electrical and Computer Engineering and Autonomous Control Engineering (ACE) Center, University of New Mexico, Albuquerque, New Mexico;Department of Electrical and Computer Engineering and Autonomous Control Engineering (ACE) Center, University of New Mexico, Albuquerque, New Mexico;Department of Electrical and Computer Engineering and Autonomous Control Engineering (ACE) Center, University of New Mexico, Albuquerque, New Mexico;Department of Electrical and Computer Engineering and Autonomous Control Engineering (ACE) Center, University of New Mexico, Albuquerque, New Mexico;Department of Electrical and Computer Engineering and Autonomous Control Engineering (ACE) Center, University of New Mexico, Albuquerque, New Mexico;Department of Electrical and Computer Engineering and Autonomous Control Engineering (ACE) Center, University of New Mexico, Albuquerque, New Mexico;Department of Electrical and Computer Engineering and Autonomous Control Engineering (ACE) Center, University of New Mexico, Albuquerque, New Mexico;Jet Propulsion Laboratory, CalTech, Pasadena, CA;Department of Electrical and Computer Engineering at Ferdowsi, University at Mashad, Iran;Department of Electrical Engineering at New Mexico Institute of Technology, Socorro, NM;Department of Electrical and Computer Engineering and Autonomous Control Engineering (ACE) Center, University of New Mexico, Albuquerque, New Mexico;Arizona Center for Integrative Modeling and Simulation and Department of Electrical and Computer Engineering, the University of Arizona, Tucson, AZ;Arizona Center for Integrative Modeling and Simulation and Department of Electrical and Computer Engineering, the University of Arizona, Tucson, AZ

  • Venue:
  • Applied system simulation
  • Year:
  • 2003

Quantified Score

Hi-index 0.02

Visualization

Abstract

This chapter presents a fusion between discrete-event systems specification (DEVS) and intelligent tools from soft computing. DEVS provides a robust and generic environment for modeling and simulation applications employing single workstation, distributed, and real-time platforms. Soft computing is a consortium of tools for natural intelligence stemming from approximate reasoning (fuzzy logic), learning (neural network or stochastic learning automaton), optimization (genetic algorithms and genetic programming), etc. The outcome of this fusion is what is called "Intelligent DEVS", called IDEVS here. IDEVS is an element of a virtual laboratory, called V-Lab®., which is based on distributed multi-physics, multi-dynamic modeling techniques for multiple platforms. The chapter will introduce IDEVS and V-Lab®. and a theme example for a multi-agent simulation of a number of robotic agents with a slew of dynamic models and multiple computer work stations.