Estimating global stress environment by observing local behavior in distributed multiagent systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A multiagent system can be considered survivable if it adapts itself to varying stresses without considerable performance degradation. Such an adaptivity comprises of identifying the behavior of the agents in a society, relating them to stress situations, and then invoking control rules. This problem is a hard one, especially in distributed multiagent systems wherein the agent behaviors tend to be nonlinear and dynamic. In this paper, we study a supply chain planning system implemented in COUGAAR (Cognitive Agent Architecture) and develop a methodology for identifying the behavior of agents through their behavioral parameters, and relating those parameters to stress situations. One important aspect of our approach is that we identify the stress situations of agents in the society by observing local behavior of one representative agent. This approach is motivated by the fact that a local time series can have the information of the dynamics of the entire system in deterministic dynamical systems. We validate our approach empirically through identifying the stress situations using k-nearest neighbor algorithm based on the behavioral parameters.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005
Pages215-219
Number of pages5
DOIs
StatePublished - Dec 1 2005
Event2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005 - Edmonton, Canada
Duration: Aug 1 2005Aug 2 2005

Publication series

NameProceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005
Volume2005

Other

Other2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005
CountryCanada
CityEdmonton
Period8/1/058/2/05

Fingerprint

Multi agent systems
Supply chains
Time series
Dynamical systems
Planning
Degradation

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Lee, S., & Tirupatikumara, S. R. (2005). Estimating global stress environment by observing local behavior in distributed multiagent systems. In Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005 (pp. 215-219). [1506771] (Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005; Vol. 2005). https://doi.org/10.1109/COASE.2005.1506771
Lee, Seokcheon ; Tirupatikumara, Soundar Rajan. / Estimating global stress environment by observing local behavior in distributed multiagent systems. Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005. 2005. pp. 215-219 (Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005).
@inproceedings{eebde2935a3646798b6074de22b21721,
title = "Estimating global stress environment by observing local behavior in distributed multiagent systems",
abstract = "A multiagent system can be considered survivable if it adapts itself to varying stresses without considerable performance degradation. Such an adaptivity comprises of identifying the behavior of the agents in a society, relating them to stress situations, and then invoking control rules. This problem is a hard one, especially in distributed multiagent systems wherein the agent behaviors tend to be nonlinear and dynamic. In this paper, we study a supply chain planning system implemented in COUGAAR (Cognitive Agent Architecture) and develop a methodology for identifying the behavior of agents through their behavioral parameters, and relating those parameters to stress situations. One important aspect of our approach is that we identify the stress situations of agents in the society by observing local behavior of one representative agent. This approach is motivated by the fact that a local time series can have the information of the dynamics of the entire system in deterministic dynamical systems. We validate our approach empirically through identifying the stress situations using k-nearest neighbor algorithm based on the behavioral parameters.",
author = "Seokcheon Lee and Tirupatikumara, {Soundar Rajan}",
year = "2005",
month = "12",
day = "1",
doi = "10.1109/COASE.2005.1506771",
language = "English (US)",
isbn = "0780394267",
series = "Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005",
pages = "215--219",
booktitle = "Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005",

}

Lee, S & Tirupatikumara, SR 2005, Estimating global stress environment by observing local behavior in distributed multiagent systems. in Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005., 1506771, Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005, vol. 2005, pp. 215-219, 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005, Edmonton, Canada, 8/1/05. https://doi.org/10.1109/COASE.2005.1506771

Estimating global stress environment by observing local behavior in distributed multiagent systems. / Lee, Seokcheon; Tirupatikumara, Soundar Rajan.

Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005. 2005. p. 215-219 1506771 (Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Estimating global stress environment by observing local behavior in distributed multiagent systems

AU - Lee, Seokcheon

AU - Tirupatikumara, Soundar Rajan

PY - 2005/12/1

Y1 - 2005/12/1

N2 - A multiagent system can be considered survivable if it adapts itself to varying stresses without considerable performance degradation. Such an adaptivity comprises of identifying the behavior of the agents in a society, relating them to stress situations, and then invoking control rules. This problem is a hard one, especially in distributed multiagent systems wherein the agent behaviors tend to be nonlinear and dynamic. In this paper, we study a supply chain planning system implemented in COUGAAR (Cognitive Agent Architecture) and develop a methodology for identifying the behavior of agents through their behavioral parameters, and relating those parameters to stress situations. One important aspect of our approach is that we identify the stress situations of agents in the society by observing local behavior of one representative agent. This approach is motivated by the fact that a local time series can have the information of the dynamics of the entire system in deterministic dynamical systems. We validate our approach empirically through identifying the stress situations using k-nearest neighbor algorithm based on the behavioral parameters.

AB - A multiagent system can be considered survivable if it adapts itself to varying stresses without considerable performance degradation. Such an adaptivity comprises of identifying the behavior of the agents in a society, relating them to stress situations, and then invoking control rules. This problem is a hard one, especially in distributed multiagent systems wherein the agent behaviors tend to be nonlinear and dynamic. In this paper, we study a supply chain planning system implemented in COUGAAR (Cognitive Agent Architecture) and develop a methodology for identifying the behavior of agents through their behavioral parameters, and relating those parameters to stress situations. One important aspect of our approach is that we identify the stress situations of agents in the society by observing local behavior of one representative agent. This approach is motivated by the fact that a local time series can have the information of the dynamics of the entire system in deterministic dynamical systems. We validate our approach empirically through identifying the stress situations using k-nearest neighbor algorithm based on the behavioral parameters.

UR - http://www.scopus.com/inward/record.url?scp=33745934249&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33745934249&partnerID=8YFLogxK

U2 - 10.1109/COASE.2005.1506771

DO - 10.1109/COASE.2005.1506771

M3 - Conference contribution

SN - 0780394267

SN - 9780780394261

T3 - Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005

SP - 215

EP - 219

BT - Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005

ER -

Lee S, Tirupatikumara SR. Estimating global stress environment by observing local behavior in distributed multiagent systems. In Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005. 2005. p. 215-219. 1506771. (Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005). https://doi.org/10.1109/COASE.2005.1506771