Situation identification using dynamic parameters in complex agent-based planning systems

Seokcheon Lee, N. Gautam, S. Kumara, Y. Hong, H. Gupta, A. Surana, V. Narayanan, H. Thadakamalla, M. Brinn, M. Greaves

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

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 roles (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.

Original languageEnglish (US)
Pages555-560
Number of pages6
StatePublished - 2002
EventProceedings of the Artificial Neutral Networks in Engineering Conference:Smart Engineering System Design - St. Louis, MO, United States
Duration: Nov 10 2002Nov 13 2002

Other

OtherProceedings of the Artificial Neutral Networks in Engineering Conference:Smart Engineering System Design
CountryUnited States
CitySt. Louis, MO
Period11/10/0211/13/02

All Science Journal Classification (ASJC) codes

  • Software

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