Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
9-2005
Abstract
In a rapidly changing environment, the behavior and decision-making power of agents may have to be adaptive with respect to a fluctuating autonomy. In this paper, a centralized fuzzy approach is proposed to sense changes in environmental conditions and translate them to changes in agent autonomy. A distributed coalition formation scheme is then applied to allow agents in the new autonomy to renegotiate to establish schedule consistency. The proposed framework is applied to a real-time logistics control of a military hazardous material storage facility under peace-to-war transition.
Keywords
Decision making, Fuzzy sets, Logistics, Real time systems
Discipline
Computer Sciences | Military and Veterans Studies | Operations Research, Systems Engineering and Industrial Engineering
Research Areas
Intelligent Systems and Optimization
Publication
2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology: Compiègne, France, September 19-22: Proceedings
First Page
152
Last Page
156
ISBN
9780769524160
Identifier
10.1109/IAT.2005.115
Publisher
IEEE Computer Society
City or Country
Los Alamitos, CA
Citation
LAU, Hoong Chuin; AGUSSURJA, Lucas; and THANGARAJOO, Ramesh.
Partial Adjustable Autonomy in Multi-Agent Environment and Its Application to Military Logistics. (2005). 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology: Compiègne, France, September 19-22: Proceedings. 152-156.
Available at: https://ink.library.smu.edu.sg/sis_research/359
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/IAT.2005.115
Included in
Computer Sciences Commons, Military and Veterans Studies Commons, Operations Research, Systems Engineering and Industrial Engineering Commons