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Rikke Amilde Seehuus
Rikke Amilde Seehuus
Verified email at ffi.no
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Cited by
Year
Modeling cgf behavior with machine learning techniques: Requirements and future directions
A Toubman, G Poppinga, JJ Roessingh, M Hou, L Luotsinen, RA Løvlid, ...
Proceedings of the 2015 Interservice/Industry Training, Simulation, and …, 2015
222015
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
212015
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
182016
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
162017
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
162016
Low-level battle management language
A Alstad, OM Mevassvik, MN Nielsen, R Løvlid, H Henderson, R Jansen, ...
Simulation Interoperability Standards Organisation, 2013
152013
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
142016
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
142015
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
142013
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
112018
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
92018
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
Data-driven behavior modeling for computer generated forces–a literature survey
RA Løvlid, LJ Luotsinen, F Kamrani, B Toghiani-Rizi
22017
A novel method for training an echo state network with feedback-error learning
RA Løvlid
Hindawi Publishing Corporation, 2013
22013
Learning motor control by dancing YMCA
RA LÄvlid
IFIP International Conference on Artificial Intelligence in Theory and …, 2010
22010
Learning to imitate YMCA with an ESN
RA Løvlid
International Conference on Artificial Neural Networks, 507-514, 2012
12012
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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