Individual-based simulation of the clustering behaviour of epidermal growth factor receptors.
Proceedings of the 2002 ACM symposium on Applied computing
Exploring Depth Versus Breadth in Knowledge Management Strategies
Computational & Mathematical Organization Theory
Resource-aware exploration of the emergent dynamics of simulated systems
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
An agent-based approach to identification of prediction models
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Interpretation by Implementation for Understanding a Multiagent Organization
Computational & Mathematical Organization Theory
Complexity - Special isssue: Computational modeling in the social sciences
Individual-based simulation of the clustering behaviour of epidermal growth factor receptors
Scientific Programming
Validating Simulation Models: A General Framework and Four Applied Examples
Computational Economics
Full body: The importance of the phenotype in evolution
Artificial Life
Evolving viral marketing strategies
Proceedings of the 12th annual conference on Genetic and evolutionary computation
On decision support for deliberating with constraints in constrained optimization models
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Agent-based analysis and simulation of the consumer airline market share for Frontier Airlines
Knowledge-Based Systems
Finding forms of flocking: evolutionary search in ABM parameter-spaces
MABS'10 Proceedings of the 11th international conference on Multi-agent-based simulation
When does simulated data match real data?
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Estimating functional agent-based models: an application to bid shading in online markets format
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
A Review for the Validation of Social Simulation on Artificial Social Organization
International Journal of Agent Technologies and Systems
Paradox Lost: The Evolution of Strategies in Selten's Chain Store Game
Computational Economics
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Simulation models are becoming increasingly common in the analysis of critical scientific, policy, and management issues. Such models provide a way to analyze complex systems characterized by both large parameter spaces and nonlinear interactions. Unfortunately, these same characteristics make understanding such models using traditional testing techniques extremely difficult. Here we show how a model's structure and robustness can be validated via a simple, automatic, nonlinear search algorithm designed to actively "break" the model's implications. Using the active nonlinear tests (ANTs) developed here, one can easily probe for key weaknesses in a simulation's structure, and thereby begin to improve and refine its design. We demonstrate ANTs by testing a well-known model of global dynamics (World3), and show how this technique can be used to uncover small, but powerful, nonlinear effects that may highlight vulnerabilities in the original model.