Linus Luotsinen
Linus Luotsinen
Scientist at the Swedish Defence Research Agency (FOI)
Verified email at foi.se
Title
Cited by
Cited by
Year
Possibilities and challenges for artificial intelligence in military applications
P Svenmarck, L Luotsinen, M Nilsson, J Schubert
Proceedings of the 2018 NATO Big Data and Artificial Intelligence for …, 2018
232018
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
232015
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
192007
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
182015
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
152016
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
122016
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
122016
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
122015
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
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
92017
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
92017
Collaborative uav exploration of hostile environments
LJ Luotsinen, AJ Gonzalez, L Bölöni
UNIVERSITY OF CENTRAL FLORIDA ORLANDO DEPT OF ELECTRICAL ENGINEERING, 2004
82004
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 Løvlid, 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