Linus Luotsinen
Linus Luotsinen
Scientist at the Swedish Defence Research Agency (FOI)
Verified email at foi.se
Title
Cited by
Cited by
Year
Simulation-based decision support for evaluating operational plans
J Schubert, F Moradi, H Asadi, L Luotsinen, E Sjöberg, P Hörling, ...
Operations Research Perspectives 2, 36-56, 2015
222015
Automatic annotation of team actions in observations of embodied agents
LJ Luotsinen, H Fernlund, L Bölöni
Proceedings of the 6th international joint conference on Autonomous agents …, 2007
182007
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
152015
Possibilities and challenges for artificial intelligence in military applications
P Svenmarck, L Luotsinen, M Nilsson, J Schubert
Proceedings of the NATO Big Data and Artificial Intelligence for Military …, 2018
132018
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
122016
Role-based teamwork activity recognition in observations of embodied agent actions
LJ Luotsinen, L Bölöni
Proceedings of the 7th international joint conference on Autonomous agents …, 2008
122008
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
112016
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
92016
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
92015
Evaluating deep reinforcement learning for computer generated forces in ground combat simulation
B Toghiani-Rizi, F Kamrani, LJ Luotsinen, L Gisslén
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
82017
Collaborative uav exploration of hostile environments
LJ Luotsinen, AJ Gonzalez, L Bölöni
UNIVERSITY OF CENTRAL FLORIDA ORLANDO DEPT OF ELECTRICAL ENGINEERING, 2004
82004
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
52017
A comparison study of 12 paradigms for developing embodied agents
L Bölöni, LJ Luotsinen, JN Ekblad, TR Fitz‐Gibbon, C Houchin, JL Key, ...
Software: Practice and Experience 38 (3), 259-305, 2008
52008
Autonomous environmental mapping in multi-agent uav systems
LJ Luotsinen
42004
Teamwork recognition of embodied agents with hidden Markov models
LJ Luotsinen, H Fernlund, L Boloni
2007 IEEE International Conference on Intelligent Computer Communication and …, 2007
32007
Recognizing teamwork activity in observations of embodied agents
LJ Luotsinen
32007
A two-stage genetic programming approach for non-player characters
LJ Luotsinen, JN Ekblad, AS Wu, A Gonzalez, L Bölöni
FuturePlay 2005 online proceedings http://www. futureplay. org/papers/paper …, 2005
32005
Data-driven behavior modeling for computer generated forces–a literature survey
RA Lovlid, LJ Luotsinen, F Kamrani, B Toghiani-Rizi
22017
Efficient implementation of simulation support for tactical-level military training
J Brynielsson, S Lindquist, L Luotsinen
2016 Interservice/Industry Training, Simulation, and Education Conference (I …, 2016
22016
POPSIM: a platform targeting the modeling and simulation of human populations in urban environments.
LJ Luotsinen
SimuTools, 160-165, 2014
22014
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Articles 1–20