| Machine learning techniques for autonomous agents in military simulations—Multum in Parvo JJ Roessingh, A Toubman, J van Oijen, G Poppinga, M Hou, L Luotsinen 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017 | 30 | 2017 |
| Modeling CGF behavior with machine learning techniques A Toubman, JJM Roessingh, G Poppinga, M Hou, L Luotsinen, RA Løvlid, ... National Aerospace Laboratory NLR, 2015 | 30 | 2015 |
| Modeling behavior of computer generated forces with machine learning techniques, the nato task group approach A Toubman, JJ Roessingh, J van Oijen, RA Løvlid, M Hou, C Meyer, ... 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 26 | 2016 |
| Simulation-supported wargaming for analysis of plans S Bruvoll, JE Hannay, GK Svendsen, ML Asprusten, KM Fauske, ... Proc. NATO Modelling and Simulation Group Symp. on M&S Support to …, 2015 | 25 | 2015 |
| Learning objective agent behavior using a data-driven modeling approach F Kamrani, LJ Luotsinen, RA Løvlid 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 24 | 2016 |
| Evolved creative intelligence for computer generated forces LJ Luotsinen, F Kamrani, P Hammar, M Jändel, RA Løvlid 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 18 | 2016 |
| Low-level battle management language A Alstad, OM Mevassvik, MN Nielsen, R Løvlid, H Henderson, R Jansen, ... Simulation Interoperability Standards Organisation, 2013 | 17 | 2013 |
| Modeling the behavior of a hierarchy of command agents with context-based reasoning RA Løvlid, S Bruvoll, K Brathen, A Gonzalez The Journal of Defense Modeling and Simulation 15 (4), 369-381, 2018 | 15 | 2018 |
| Data-driven behavior modeling for computer generated forces LJ Luotsinen, RA Løvlid NATO modelling and simulation group symp. M&S support to operational tasks …, 2015 | 15 | 2015 |
| Two approaches to developing a multi-agent system for battle command simulation RA Løvlid, A Alstad, OM Mevassvik, N de Reus, H Henderson, ... 2013 Winter Simulations Conference (WSC), 1491-1502, 2013 | 15 | 2013 |
| Automating behaviour tree generation for simulating troop movements (poster) G Berthling-Hansen, E Morch, RA Løvlid, OE Gundersen 2018 IEEE conference on cognitive and computational aspects of situation …, 2018 | 13 | 2018 |
| Autonomous battalion simulation for training and planning integrated with a command and control information system A Alstad, RA Løvlid, S Bruvoll, MN Nielsen | 7* | 2014 |
| Modelling battle command with context-based reasoning RA Løvlid, A Alstad, G Skogsrud, S Bruvoll, OM Mevassvik, LE Bråten | 7 | 2013 |
| Data-driven behavior modeling for computer generated forces–a literature survey RA Løvlid, LJ Luotsinen, F Kamrani, B Toghiani-Rizi | 3 | 2017 |
| A Novel Method for Training an Echo State Network with Feedback‐Error Learning RA Løvlid Advances in Artificial Intelligence 2013 (1), 891501, 2013 | 3 | 2013 |
| Learning to imitate YMCA with an ESN RA Løvlid International Conference on Artificial Neural Networks, 507-514, 2012 | 3 | 2012 |
| Learning motor control by dancing YMCA RA Lävlid IFIP International Conference on Artificial Intelligence in Theory and …, 2010 | 3 | 2010 |
| Introducing learning rate analogy to the training of echo state networks RA Løvlid First Norwegian Artificial Intelligence Symposium, 2009 | 1 | 2009 |
| Automating Behaviour Tree Generation for Simulating Troop Movements G Berthling-Hansen, E Morch, RA Løvlid, OE Gundersen | | 2018 |
| A multi agent system for simulation of battalion operations S Bruvoll, RA Løvlid SIMS 54th conference, 1, 2013 | | 2013 |
