Artificial Intelligence
Introduction to the art and science of simulation
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MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
Theory of Modelling and Simulation
Theory of Modelling and Simulation
Simulation for the Social Scientist
Simulation for the Social Scientist
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Autonomous Agents and Multi-Agent Systems
Agentenorientierte Softwareentwicklung: Methoden und Tools (Xpert.press)
Agentenorientierte Softwareentwicklung: Methoden und Tools (Xpert.press)
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
An exploration-based taxonomy for emergent behavior analysis in simulations
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
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MABS'02 Proceedings of the 3rd international conference on Multi-agent-based simulation II
Environments for multiagent systems state-of-the-art and research challenges
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
About the role of the environment in multi-agent simulations
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
A preliminary comparative feature analysis of multi-agent systems development methodologies
AOIS'04 Proceedings of the 6th international conference on Agent-Oriented Information Systems II
Agent-Based simulation for testing control software of high bay warehouses
MATES'05 Proceedings of the Third German conference on Multiagent System Technologies
A multi-agent model system for land-use change simulation
Environmental Modelling & Software
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Sufficient and appropriate documentation of a simulation model forms an essential prerequisite for quality assessment as well as for activities of maintenance, reuse, or reproduction of the model and its results. This is true for every simulation paradigm. However, in particular for agent-based simulations with their high degree of freedom in design, their usually complex behavior and interactions, their high level of detail and heterogeneity, etc., documentation becomes indispensable, and also problematic. This article contributes to general advancement of the methodological basis of agent-based simulations by presenting a structured way of documenting agent-based simulation models. We propose a documentation framework that consists of six different categories of model information: metadata, informal model characterization, model contents, expected simulation behavior, experimental frame, and passed tests.