Johan Hagelbäck

Julian Togelius, Mike Preuss, Nicola Beume, Simon Wessing, Johan Hagelbäck, Georgios N. Yannakakis, Corrado Grappiolo: Controllable procedural map generation via multiobjective evolution. Genetic Programming and Evolvable Machines 14(2): 245-277 (2013)

Johan Hagelbäck: Potential-field based navigation in StarCraft. CIG 2012: 388-393

Johan Hagelbäck, Stefan J. Johansson, Mike Preuss: AI and computational intelligence for real-time strategy games. CIG 2010: 1-4

Johan Hagelbäck, Stefan J. Johansson: A study on human like characteristics in real time strategy games. CIG 2010: 139-145

Julian Togelius, Mike Preuss, Nicola Beume, Simon Wessing, Johan Hagelbäck, Georgios N. Yannakakis: Multiobjective exploration of the StarCraft map space. CIG 2010: 265-272

Johan Hagelbäck, Stefan J. Johansson: A Multiagent Potential Field-Based Bot for Real-Time Strategy Games. Int. J. Computer Games Technology 2009 (2009)

Johan Hagelbäck, Stefan J. Johansson: A Multi-Agent Potential Field-based Bot for a Full RTS Game Scenario. AIIDE 2009

Johan Hagelbäck, Stefan J. Johansson: Measuring player experience on runtime dynamic difficulty scaling in an RTS game. CIG 2009: 46-52

Johan Hagelbäck, Stefan J. Johansson: The Rise of Potential Fields in Real Time Strategy Bots. AIIDE 2008

Johan Hagelbäck, Stefan J. Johansson: Using multi-agent potential fields in real-time strategy games. AAMAS (2) 2008: 631-638

Johan Hagelbäck, Stefan J. Johansson: Demonstration of multi-agent potential fields in real-time strategy games. AAMAS (Demos) 2008: 1687-1688

Johan Hagelbäck, Stefan J. Johansson: Dealing with fog of war in a Real Time Strategy game environment. CIG 2008: 55-62

Paul Davidsson, Johan Hagelbäck, Kenny Svensson: Comparing approaches to predict transmembrane domains in protein sequences. SAC 2005: 185-189