Situation Identification Using Dynamic Parameters in Complex Agent-based Planning Systems
نویسنده
چکیده
Survivability of multi-agent systems is a critical problem. Real-life systems are constantly subject to environmental stresses. These include scalability, robustness and security stresses. It is important that a multi-agent system adapts itself to varying stresses and still operates within acceptable performance regions. Such an adaptivity comprises of identifying the state of the agents, relating them to stress situations, and then invoking control rules (policies). In this paper, we study a supply chain planning implemented in COUGAAR (Cognitive Agent Architecture) developed by DARPA (Defense Advanced Research Project Agency), and develop a methodology to identify behavior parameters, and relate those parameters to stress situations. Experimentally we verify the proposed method.
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