Theory of Modelling and Simulation
Theory of Modelling and Simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
How to build valid and credible simulation models
WSC '05 Proceedings of the 37th conference on Winter simulation
Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity)
Simulation supporting the design of self-organizing ambient intelligent systems
Proceedings of the 2009 ACM symposium on Applied Computing
VALIDATION OF CA MODELS OF PEDESTRIAN DYNAMICS WITH FUNDAMENTAL DIAGRAMS
Cybernetics and Systems - BEST OF AGENT-BASED MODELING AND SIMULATION 2008
Towards pattern-oriented design of agent-based simulation models
MATES'09 Proceedings of the 7th German conference on Multiagent system technologies
Crowd modeling and simulation technologies
ACM Transactions on Modeling and Computer Simulation (TOMACS)
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications: Part II
Modelling sperm behaviour in a 3D environment
Proceedings of the 9th International Conference on Computational Methods in Systems Biology
Agent-Based modelling for risk assessment of routine clinical processes
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
Validation of agent-based simulation through human computation: an example of crowd simulation
MABS'11 Proceedings of the 12th international conference on Multi-Agent-Based Simulation
DoMAIns: Domain-based modeling for Ambient Intelligence
Pervasive and Mobile Computing
Journal of Ambient Intelligence and Smart Environments - A software engineering perspective on smart applications for AmI
Visualisation on demand for agent-based simulation
CAVE'12 Proceedings of the First international conference on Cognitive Agents for Virtual Environments
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Validity forms the basic prerequisite for every simulation model, therefore also for reasonable usage of the agent-based simulation paradigm. However, models based on the multi-agent system metaphor tend to need some particular approaches. In this paper, I propose a process for validating agent-based simulation models that combines face validation, sensitivity analysis, calibration and statistical validation.