Intelligent Agents: The Key Concepts
Proceedings of the 9th ECCAI-ACAI/EASSS 2001, AEMAS 2001, HoloMAS 2001 on Multi-Agent-Systems and Applications II-Selected Revised Papers
Data farming: discovering surprise
WSC '04 Proceedings of the 36th conference on Winter simulation
Work smarter, not harder: guidelines for designing simulation experiments
Proceedings of the 38th conference on Winter simulation
Improved efficient, nearly orthogonal, nearly balanced mixed designs
Proceedings of the Winter Simulation Conference
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NATO's Modeling and Simulation Group (NMSG) has set up a task group to demonstrate the benefits of the Data Farming methodology for decision support within NATO. In the case study "Force Protection" the agent-based simulation model PAXSEM, which was developed on behalf of the German Federal Armed Forces, was used in conjunction with the Data Farming methodology to find a robust configuration of a combat outpost (COP) against different kind of threat scenarios. Data Farming was used here as an analysis process, where all the six realms of Data Farming have been used in a demonstrative way With this case study, the power of Data Farming could be demonstrated when obtaining robust statements on opportunities and risks of specific COP configurations.