Exploratory modeling for policy analysis
Operations Research
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
Motivated Metamodels: Synthesis of Cause-Effect Reasoning and Statistical Metamodeling
Motivated Metamodels: Synthesis of Cause-Effect Reasoning and Statistical Metamodeling
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Strategic positioning in tactical scenario planning
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Applying causal inference to understand emergent behavior
Proceedings of the 40th Conference on Winter Simulation
Application notes: MEBRA: multiobjective evolutionary-based risk assessment
IEEE Computational Intelligence Magazine
Natural Computing: an international journal
Investigating unexpected outcomes through the application of statistical debuggers
Proceedings of the Winter Simulation Conference
| Hi-index | 0.00 |
This paper lays out provocative assertions about major challenges for the modeling and simulation community. One relates to building M&S for the purpose of assisting the search for strategies that are flexible, adaptive, and robust despite uncertainty. A key aspect of this search is exploratory analysis, coupled with selective zoom. These, in turn, require multiresolution modeling with sound models (albeit, with uncertain data). But sound models must be adaptive models, since humans are adaptive. And rigorous analysis with adaptive models, such as those involving agents, requires new methods and attitudes, as well as new tools.