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Peer-reviewed Publications

  1. K Golub, J Hagelbäck, A Ardö. "Automatic classification using DDC on the Swedish Union Catalogue". 18th European Networked Knowledge Organization Systems Workshop (NKOS 2018). 2018. Download PDF.
  2. S Qureshi, J Hagelbäck, SMZ Iqbal, H Javaid, CA Lindley. "Evaluation of Classifiers for Emotion Detection While Performing Physical and Visual Tasks: Tower of Hanoi and IAPS". Proceedings of SAI Intelligent Systems Conference, 347-363. 2018. Download PDF.
  3. P Jerčić, J Hagelbäck, C Lindley. "Physiological Affect and Performance in a Collaborative Serious Game Between Humans and an Autonomous Robot". International Conference on Entertainment Computing, 127-138. 2018. Download PDF.
  4. P Jerčić, W Wen, J Hagelbäck, V Sundstedt. "The Effect of Emotions and Social Behavior on Performance in a Collaborative Serious Game Between Humans and Autonomous Robots". International Journal of Social Robotics 10 (1), pages 115-129, 2018. Download PDF.
  5. J. Hagelbäck. "Hybrid Pathfinding in StarCraft". IEEE Transactions on Computational Intelligence and AI in Games 8 (4), 319-324. 2016. Download PDF.
  6. J. Hagelbäck, O. Hillborn, P. Jerčić, S.J. Johansson, C.A. Lindley, J. Svensson, W. Wen. "Pyschophysiological Interaction and Empathic Cognition for Human-robot Cooperative Work (PsyIntEC)". In Springer Tracts in Advanced Robotics, volume 94, pages 283-299, 2014. Download PDF.
  7. M. Preuss, D. Kozakowski, J. Hagelbäck, H. Trautmann. "Reactive strategy choice in StarCraft by means of Fuzzy Control". In Proceedings of 2013 IEEE Conference on Computational Intelligence and Games (CIG), 2013. Download PDF.
  8. AT Sohaib, S Qureshi, J Hagelbäck, O Hilborn, P Jerčić. "Evaluating Classifiers for Emotion Recognition Using EEG". In Foundations of Augmented Cognition, pages 492-501, 2013. Download PDF.
  9. Julian Togelius, Mike Preuss, Nicola Beume, Simon Wessing, Johan Hagelbäck, Georgios N. Yannakakis, Corrado Grappiolo. "Controllable procedural map generation via multiobjective evolution". Journal of Genetic Programming and Evolvable Machines". volume 14, issue 2, pages 245-277, 2013. Download PDF.
  10. Johan Hagelbäck. "Potential-Field Based navigation in StarCraft". In Proceedings of 2012 IEEE Conference on Computational Intelligence and Games (CIG), 2012. Download PDF.
  11. Johan Hagelbäck. "Multi-Agent Potential Field based Architectures for Real-Time Strategy Game Bots". Ph.D. thesis. No. 2012:02. Blekinge Institute of Technology, 2012. Download PDF.
  12. Johan Hagelbäck and Stefan J. Johansson. "A Study on Human like Characteristics in Real Time Strategy Games". In Proceedings of 2010 IEEE Conference on Computational Intelligence and Games (CIG), 2010. Download PDF.
  13. Julian Togelius, Mike Preuss, Nicola Beume, Simon Wessing, Johan Hagelbäck, Georgios N. Yannakakis. "Multiobjective Exploration of the StarCraft Map Space". In Proceedings of 2010 IEEE Conference on Computational Intelligence and Games (CIG), 2010. Download PDF.
  14. Johan Hagelbäck and Stefan J. Johansson. "A Multi-agent Potential Field based bot for a Full RTS Game Scenario". In Proceedings of Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2009. Download PDF.
  15. Johan Hagelbäck and Stefan J. Johansson. "Measuring player experience on runtime dynamic difficulty scaling in an RTS game". In Proceedings of 2009 IEEE Symposium on Computational Intelligence and Games (CIG), 2009. Download PDF.
  16. Johan Hagelbäck. "A Multi-Agent Potential Field Based Approach for Real-Time Strategy Game Bots". Licentiate Thesis. No. 2009:03. Blekinge Institute of Technology. Download PDF.
  17. Johan Hagelbäck and Stefan J. Johansson, "A Multiagent Potential Field-Based Bot for Real-Time Strategy Games". International Journal of Computer Games Technology, vol. 2009, Article ID 910819, 10 pages, 2009. doi:10.1155/2009/910819. Link to fulltext.
  18. Johan Hagelbäck and Stefan J. Johansson. "Dealing with Fog of War in a Real Time Strategy Game Environment". In Proceedings of 2008 IEEE Symposium on Computational Intelligence and Games (CIG), 2008. Download PDF.
  19. Johan Hagelbäck and Stefan J. Johansson. "The Rise of Potential Fields in Real Time Strategy bots". In Proceedings of Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2008. Download PDF. This paper was nominated in the category Most Influential Research Publication 2008 by AiGameDev.com.
  20. Johan Hagelbäck and Stefan J. Johansson. "Using Multi-Agent Potential Fields in Real-Time Strategy Games". In L. Padgham and D. Parkes editors, Proceedings of the Seventh International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), 2008. Download PDF.
  21. Paul Davidsson, Johan Hagelbäck, Kenny Svensson. "Comparing approaches to predict transmembrane domains in protein sequences". 2005 ACM Symposium on Applied computing, 2005. Download PDF.