Introduction to creative evolutionary systems
Creative evolutionary systems
Dealing with complexity: exploratory analysis enabled by multiresolultion, multiperspective modeling
Proceedings of the 32nd conference on Winter simulation
Proceedings of the 35th conference on Winter simulation: driving innovation
Validation and verification of social processes within agent-based computational organization models
Computational & Mathematical Organization Theory
Quality assessment, verification, and validation of modeling and simulation applications
WSC '04 Proceedings of the 36th conference on Winter simulation
Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity)
Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity)
Rethinking M&S to enhance creativity and computational discovery
SCSC '09 Proceedings of the 2009 Summer Computer Simulation Conference
Validating agent based social systems models
Proceedings of the Winter Simulation Conference
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Few studies examine distinct characteristics of problems studied by agent-based models and their implications on operational validation. This paper focuses on exploratory and generative modeling perspective advocated by the agent-based modeling paradigm. The significance of robustness is emphasized, and a robust generative validation strategy is proposed for models used in scientific problems in which ambiguity and deep uncertainty pervade. The strategy is predicated on the premise of creative evolutionary systems perspective that enables viewing validation within the scientific method of falsification. That is, the strategy mimics the way scientific knowledge is constructed and validated by groups of scientists within a scientific discipline. The utility and feasibility of the method is demonstrated using a case study.