Peer-reviewed Publications

• Johan Hagelbäck. "Multi-Agent Potential Field based Architectures for Real-Time Strategy Game Bots". PhD thesis. No. 2012:02. Blekinge Institute of Technology, 2012.
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• 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.
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• 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.
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• 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.
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  Slides from the talk 499 KB
• 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.
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• Johan Hagelbäck. "A Multi-Agent Potential Field Based Approach for Real-Time Strategy Game Bots". Licentiate Thesis. No. 2009:03. Blekinge Institute of Technology.
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• 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
• 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.
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• 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.
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  This paper was nominated in the category Most Influential Research Publication 2008 by AiGameDev.com.
  2008 AiGameDev.com Awards for Game AI
  The presentation slides I used at AIIDE can be downloaded here (pdf, 467 KB)
• 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.
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• Paul Davidsson, Johan Hagelbäck, Kenny Svensson. "Comparing approaches to predict transmembrane domains in protein sequences". 2005 ACM Symposium on Applied computing, 2005.
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Other

• Johan Hagelbäck. Online seminar about StarCraft bot architectures held for Chair 11, Computer Science, TU Dortmund. 2011.
  Youtube
• Johan Hagelbäck. Using Potential Fields in a Real-time Strategy Game Scenario (Tutorial). Tutorial on AiGameDev.com, 2009.
  Link
• Johan Hagelbäck and Stefan J. Johansson. "Demonstration of Multi-agent Potential Fields in Real-time Strategy Games". Demo Paper on the Seventh
  International Conference on Autonomous Agents and
  Multi-agent Systems (AAMAS), 2008.
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Undergraduate Reports

• Hagelbäck, J., Svensson, K. (2003). Locating transmembrane domains in protein sequences. Master's Thesis MSE2003:10, Blekinge Institute of Technology
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