On time and space decomposition of complex structures
Communications of the ACM
Turtles, termites, and traffic jams: explorations in massively parallel microworlds
Turtles, termites, and traffic jams: explorations in massively parallel microworlds
Breeding competitive strategies
Management Science
Active Nonlinear Tests (Ants) of Complex Simulation Models
Management Science
Dynamics of complex systems
Modeling Biological Systems: Principles and Applications
Modeling Biological Systems: Principles and Applications
Computational Laboratories for Organization Science: Questions, Validity and Docking
Computational & Mathematical Organization Theory
Philosophical foundations of computer simulation validation
Simulation and Gaming
Simulation for the Social Scientist
Simulation for the Social Scientist
Handbook of Computational Economics, Volume 2: Agent-Based Computational Economics (Handbook of Computational Economics)
Handbook of Research on Nature-inspired Computing for Economics and Management
Handbook of Research on Nature-inspired Computing for Economics and Management
Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity)
EUMAS'11 Proceedings of the 9th European conference on Multi-Agent Systems
An agent based model of environmental awareness and limited resource consumption
Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems
Calibration of the agent-based continuous double auction stock market by scaling analysis
Information Sciences: an International Journal
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This paper provides a framework for discussing the empirical validation of simulation models of market phenomena, in particular of agent-based computational economics models. Such validation is difficult, perhaps because of their complexity; moreover, simulations can prove existence, but not in general necessity. The paper highlights the Energy Modeling Forum's benchmarking studies as an exemplar for simulators. A market of competing coffee brands is used to discuss the purposes and practices of simulation, including explanation. The paper discusses measures of complexity, and derives the functional complexity of an implementation of Schelling's segregation model. Finally, the paper discusses how courts might be convinced to trust simulation results, especially in merger policy.