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Johan Hagelbäck
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Multiobjective exploration of the starcraft map space
J Togelius, M Preuss, N Beume, S Wessing, J Hagelbäck, GN Yannakakis
Proceedings of the 2010 IEEE Conference on Computational Intelligence and …, 2010
1672010
Evaluating classifiers for emotion recognition using EEG
AT Sohaib, S Qureshi, J Hagelbäck, O Hilborn, P Jerčić
Foundations of Augmented Cognition: 7th International Conference, AC 2013 …, 2013
1372013
Using multi-agent potential fields in real-time strategy games
J Hagelbäck, SJ Johansson
Seventh International Conference on Autonomous Agents and Multi-agent …, 2008
119*2008
Controllable procedural map generation via multiobjective evolution
J Togelius, M Preuss, N Beume, S Wessing, J Hagelbäck, GN Yannakakis, ...
Genetic Programming and Evolvable Machines 14, 245-277, 2013
682013
Potential-field based navigation in starcraft
J Hagelbäck
2012 IEEE Conference on Computational Intelligence and Games (CIG), 388-393, 2012
682012
The rise of potential fields in real time strategy bots
J Hagelbäck, S Johansson
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2008
572008
Measuring player experience on runtime dynamic difficulty scaling in an RTS game
J Hagelback, SJ Johansson
2009 IEEE Symposium on Computational Intelligence and Games, 46-52, 2009
422009
Dealing with fog of war in a real time strategy game environment
J Hagelback, SJ Johansson
2008 IEEE Symposium On Computational Intelligence and Games, 55-62, 2008
422008
A Multiagent Potential Field-Based Bot for Real-Time Strategy Games
SJ Johansson
International Journal of Computer Games Technology 2009, 2008
41*2008
Hybrid pathfinding in StarCraft
J Hagelbäck
IEEE Transactions on Computational Intelligence and AI in games 8 (4), 319-324, 2015
362015
The effect of emotions and social behavior on performance in a collaborative serious game between humans and autonomous robots
P Jerčić, W Wen, J Hagelbäck, V Sundstedt
International Journal of Social Robotics 10 (1), 115-129, 2018
322018
A multi-agent potential field-based bot for a full RTS game scenario
J Hagelback, S Johansson
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2009
232009
Multi-Agent Potential Field Based Architectures for Real-Time Strategy Game Bots
J Hagelbäck
Blekinge Institute of Technology, 0
22*
Automatic classification using DDC on the Swedish Union Catalogue
K Golub, J Hagelbäck, A Ardö
18th European Networked Knowledge Organization Systems Workshop (NKOS 2018 …, 2018
212018
Automatic classification of Swedish metadata using dewey decimal classification: a comparison of approaches
K Golub, J Hagelbäck, A Ardö
Journal of Data and Information Science 5 (1), 18-38, 2020
172020
Reactive strategy choice in StarCraft by means of Fuzzy Control
M Preuss, D Kozakowski, J Hagelbäck, H Trautmann
2013 IEEE Conference on Computational Inteligence in Games (CIG), 1-8, 2013
152013
A study on human like characteristics in real time strategy games
J Hagelbäck, SJ Johansson
Proceedings of the 2010 IEEE Conference on Computational Intelligence and …, 2010
152010
An affective serious game for collaboration between humans and robots
P Jerčić, J Hagelbäck, C Lindley
Entertainment Computing 32, 100319, 2019
112019
A multi-agent potential field based approach for real-time strategy game bots
J Hagelbäck
Blekinge Institute of Technology, 2009
82009
Psychophysiological interaction and empathic cognition for human-robot cooperative work (PsyIntEC)
J Hagelbäck, O Hilborn, P Jerčić, SJ Johansson, CA Lindley, J Svensson, ...
Gearing up and accelerating cross‐fertilization between academic and …, 2014
62014
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