Collaboration and self-organization are hallmarks of many biological systems. We present the design for an intelligent decision support system that employs these characteristics: it works through a collaborative, self-organizing network of intelligent agents. Developed for the realm of Marine Safety and Security, the goal of the system is to assist in the management of a complex array of resources in both a routine and emergency role. Notably, this system must be able to handle a dynamic environment and the existence of uncertainty. The decentralized control structure of a collaborative self-organizing system reinforces its adaptiveness, robustness and scalability in critical situations.
- 06 Jul 2011
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| Title || A Collaborative Decision Support Model for Marine Safety and Security Operations |
| Authors || U. Glässer P. Jackson, A. Khalili Araghi, H. Wehn, and H. Yaghoubi Shahir |
| Type || Conference |
| Conference/Journal Title || Distributed, Parallel and Biologically Inspired Systems (DIPES/BICC) |
| Volume/Number || IFIP 329 |
| Editors || M. Hinchey et al. |
| Publisher || Springer |
| Month || September |
| Year || 2010 |
| Pages || 266-277 |
| DOI || 10.1007/978-3-642-15234-4_26 |
| Keywords || Coastal Surveillance, Self-Organizing System, Automated Planning, Configuration Management, Abstract State Machines, UCM, jUCMNav |