Decision Support Under Uncertainty Using Exploratory Multisimulation with Multiresolution Multistage Models
Abstract
In most realistic simulation-supported decision making situations, the nature of the problem changes as the simulation unfolds. Initial parameters, as well as models, can be irrelevant under emergent conditions. Furthermore, our knowledge about the problem being study may not be captured by any single model or experiment. Therefore, adaptively in simulations and scenarios is necessary to deal with emergent conditions and for evolving systems in a flexible manner. Dealing with uncertainty is paramount to analyzing complex evolving phenomena. This effort involved (1) a new advanced simulation methodology, called exploratory multisimulation to promote problem space exploration, as opposed to traditional solution space exploration concept to deal with challenges pertaining to irregular and asymmetric warfare and (2) a symbiotic multisimulation-based decision support system based on the Naturalistic Decision Making paradigm. The decision support system illustrates how situational awareness can be enhanced by intelligent agents with perception, understanding, and anticipation capabilities to support multisimulation-based exploration of this problem area.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2007
- Accession Number
- ADA473361
Entities
People
- Alvin Lim
Organizations
- Auburn University