A framework for simulating real-time multi-agent systems

  • Authors:
  • Chris Micacchi;Robin Cohen

  • Affiliations:
  • University of Waterloo, School of Computer Science, Waterloo, ON, Canada;University of Waterloo, School of Computer Science, Waterloo, ON, Canada

  • Venue:
  • Knowledge and Information Systems
  • Year:
  • 2008

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Abstract

In this paper, we describe an implementation of use in demonstrating the effectiveness of architectures for real-time multi-agent systems. The implementation provides a simulation of a simplified RoboCup Search and Rescue environment, with unexpected events, and includes a simulator for both a real-time operating system and a CPU. We present experimental evidence to demonstrate the benefit of the implementation in the context of a particular hybrid architecture for multi-agent systems that allows certain agents to remain fully autonomous, while others are fully controlled by a coordinating agent. In addition, we discuss the value of the implementation for testing any models for the construction of real-time multi-agent systems and include a comparison to related work.