A framework for simulating real-time multi-agent systems |
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| Authors: | Chris Micacchi Robin Cohen |
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| Affiliation: | (1) School of Computer Science, University of Waterloo, Waterloo, ON, Canada, N2L 3G1 |
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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.
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| Keywords: | Agent architectures and systems Multi-agent systems Distributed intelligent systems Soft real-time environments Adjustable autonomy systems |
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