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Author Biography

      Steven Aguiar is a senior engineer in the Undersea Warfare (USW) Combat Systems department and program manager for the Virtual Undersea Battlespace program at the Naval Sea Systems Command Warfare Centers. He holds several leadership roles across the Department of the Navy's Modeling & Simulation (M&S) community including M&S lead for Visualization, Virtual Reality and Augmented Reality. Over the last five years he has focused his efforts on the role of M&S technologies in wargaming, working with various US Fleet commands to prototype and deploy innovative wargaming environments. In 2008 he also pioneered the exploration and subsequent adoption of Virtual World technologies across the US Navy enterprise. He has an MS and a BS in electrical engineering from the University of Massachusetts Dartmouth.

      Ryszard Antkiewicz is an associate professor at the Cybernetics Faculty of Military University of Technology and director of Operations Research and Decision Support Department. He holds a PhD and MSc in computer science from the Military University of Technology in Warsaw, and habilitation from Systems Research Institute Polish Academy of Sciences. His scientific interest is focused on modeling and performance evaluation of computer systems and computer networks, application of quantitative methods in computer security, combat modeling and simulation, mathematical methods of decision support. He has taken part in many scientific projects connected with combat simulation, artificial intelligence application in combat decision support system, capability‐based planning of armed forces development, cyber warfare modeling, terrorist threat prediction, crisis management. He published more than 100 peer‐reviewed journal articles, book chapters, and conference papers.

Jeff Appleget is a retired army colonel who served 20 of his 30 years on active duty as an operations research analyst. His first analysis tour was at the U.S. Army Concepts Analysis Agency (CAA; now Center for Army Analysis), working on the validation of the artillery module of the FORCEM simulation and using CEM to model Operation Desert Storm, which earned him the CAA Director’s Award for Excellence and his first Dr. Wilbur B. Payne Memorial Award for Excellence in Analysis. He served as the director of the TRADOC Analysis Center‐Monterey, supervising the creation of advanced simulation techniques and models, to include leading the Land Warrior Training Initiative project that converted a COTS first‐person shooter (Delta Force 2) into a training simulation for the US Army’s Land Warrior program. He served at the TRADOC Analysis Center‐WSMR, supervising the use of the combat simulation CASTFOREM and the human‐in‐the‐loop simulation JANUS for the Future Combat Systems (FCS) Analysis of Alternatives (AoA), earning his second Wilbur Payne Award. He served at TRAC‐FLVN, where he continued supervising FCS AoA update analyses using Vector‐In‐Command (VIC) at FLVN and CASTFOREM and JANUS at WSMR. He then finished his army career as the deputy to the TRAC director where he was one of the lead architects of the TRAC Irregular Warfare Tactical Wargame, earning the 2011 Army Modeling and Simulation Team Award (Analysis). He has been a senior lecturer in the NPS Operations Research Faculty since 2009. He teaches the Wargaming Applications, Combat Modeling, and Advanced Wargaming Applications resident courses at NPS. He also teaches week‐long Basic Analytic Wargaming Mobile Education Team (MET) courses for US and international sponsors around the world. In 2016, he earned the Richard W. Hamming Faculty Award for Interdisciplinary Achievement. Along with Dr. Rob Burks, Jeff directs the activities of the NPS Wargaming Activity Hub.

      Curtis L. Blais is on the research faculty in the Naval Postgraduate School’s Modeling, Virtual Environments, and Simulation (MOVES) Institute, Monterey, California. He holds a PhD in MOVES from the Naval Postgraduate School and bachelor and master of science degrees in mathematics from the University of Notre Dame. Dr. Blais has over 45 years of experience in all phases of modeling and simulation development, from requirements definition through test and employment of simulation systems for training and analysis. He has served in various levels of software engineering management and develops and delivers modeling and simulation education. His research interests include agent‐based simulation, interoperability across command and control systems, simulation systems, and unmanned systems, and semantic web technologies for knowledge representation. Dr. Blais serves in various positions in the Simulation Interoperability Standards Organization (SISO) and the Military Operations Research Society (MORS), and is a member of the Institute of Electrical and Electronics Engineers (IEEE) and the Society for Modeling and Simulation International (SCS).

Karsten Brathen is a chief scientist at FFI, Norwegian Defence Research Establishment, Kjeller, Norway. He holds a siv. ing. degree in engineering cybernetics from the Norwegian Institute of Technology, Trondheim, Norway. His research interests include modeling and simulation methods applied in support of training, operations, systems engineering, and concept development and experimentation. He has published more than 100 journal articles, book chapters, conference papers, and scientific‐technical reports. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and a Member of the Association for Computing Machinery (ACM), the Society for Modeling and Simulation (SCS) and the International Council on Systems Engineering (INCOSE).

      Paul K. Davis is a retired principal researcher at RAND (still active as an adjunct) and a professor in the Pardee RAND Graduate School. His research has included strategic planning (particularly defense planning), strategy, deterrence theory, arms control, and advanced methods of modeling and analysis, notably multiresolution modeling, pioneering work on exploratory analysis under uncertainty, and semi‐qualitative methods of modeling social‐behavioral

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