Domain ontologies for data sharing-an example from environmental monitoring using field GIS
Computers & Geosciences - Intelligent methods for processing geodata
Elicitation Technique Selection: How Do Experts Do It?
RE '03 Proceedings of the 11th IEEE International Conference on Requirements Engineering
Visualization and rule validation in human-behavior representation
Simulation and Gaming
Representing dynamic social networks in discrete event social simulation
Proceedings of the Winter Simulation Conference
Behavior Selection Using Utility-Based Reinforcement Learning in Irregular Warfare Simulation Models
International Journal of Operations Research and Information Systems
| Hi-index | 0.00 |
The modeling and simulation (M&S) community is faced with the task of informing public policy decision makers, from both the defense community and from the civilian sector, of the impact of their decisions on the beliefs, values and interests (BVIs) of the populations in their areas of influence. The M&S techniques used for these types of analyses by necessity challenge the traditional boundaries and methods regarding validation efforts. Given that the analysis of populations is largely intractable via reductionist methodologies, we posit that insight must be garnered through experiment and iteration using simulated societies. Further, the designs of these simulation experiments must be based on the information needs of the community. We discuss the concept of developing social simulations by use case, the validation of data sources for model development, validation techniques guided by usefulness, and a case study approach to validation of social simulations.