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Rikke Amilde Seehuus
Rikke Amilde Seehuus
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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
262017
Modeling CGF behavior with machine learning techniques
A Toubman, JJM Roessingh, G Poppinga, M Hou, L Luotsinen, RA Løvlid, ...
National Aerospace Laboratory NLR, 2015
252015
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
242015
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
232016
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
212016
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
182016
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
152015
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
152013
Low-level battle management language
A Alstad, OM Mevassvik, MN Nielsen, R Løvlid, H Henderson, R Jansen, ...
Simulation Interoperability Standards Organisation, 2013
152013
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
142018
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
112018
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
72013
A novel method for training an echo state network with feedback-error learning
RA Løvlid
Advances in Artificial Intelligence 2013, 9-9, 2013
32013
Learning to imitate YMCA with an ESN
RA Løvlid
Artificial Neural Networks and Machine Learning–ICANN 2012: 22nd …, 2012
32012
Learning motor control by dancing YMCA
RA Lävlid
IFIP International Conference on Artificial Intelligence in Theory and …, 2010
32010
Data-driven behavior modeling for computer generated forces–a literature survey
RA Løvlid, LJ Luotsinen, F Kamrani, B Toghiani-Rizi
22017
Introducing learning rate analogy to the training of echo state networks
RA Løvlid
First Norwegian Artificial Intelligence Symposium, 2009
12009
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
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Artikelen 1–20