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| Content Provider | ACM Digital Library |
|---|---|
| Author | Alt, Jonathan K. Blais, Curtis Lieberman, Stephen |
| Abstract | 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. |
| Starting Page | 1 |
| Ending Page | 7 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781450300698 |
| DOI | 10.1145/1878537.1878545 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2010-04-11 |
| Publisher Place | San Diego |
| Access Restriction | Subscribed |
| Subject Keyword | Validation Vv&a Ontology Behavioral modeling Social simulation |
| Content Type | Text |
| Resource Type | Article |
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