Research papers 
2011
M. Templeton, “On the origin of robotic species”, 2011.
M. Komosinski and Kubiak, M., “Quantitative measure of structural and geometric similarity of 3D morphologies”, Complexity, vol. 16, pp. 40–52, 2011.
2010
M. Komosinski and Rosinski, K., “Estimating similarity of neural network dynamics”, Poznan University of Technology, Institute of Computing Science, RA-10/10, 2010.
2009
A. Adamatzky and Komosinski, M., Eds., Artificial Life Models in Hardware. Springer, 2009.
M. Komosinski and Adamatzky, A., Eds., Artificial Life Models in Software, Second. Springer, 2009.
M. Komosinski and Polak, J., “Evolving free-form stick ski jumpers and their neural control systems”, in Proceedings of the National Conference on Evolutionary Computation and Global Optimization, Poland, 2009, p. 103--110.
M. Komosinski and Ulatowski, S., “Framsticks: Creating and Understanding Complexity of Life”, in Artificial Life Models in Software, Second., M. Komosinski and Adamatzky, A., Eds. New York: Springer, 2009, pp. 107–148.
M. Komosinski and Kups, A., “Models and implementations of timing processes using Artificial Life techniques”, Poznan University of Technology, Institute of Computing Science, RA-05/09, 2009.
J. A. Pyles and Grossman, E. D., “Neural adaptation for novel objects during dynamic articulation”, Neuropsychologia, vol. 47, pp. 1261–1268, 2009.
2008
M. Hapke and Komosinski, M., “Evolutionary Design of Interpretable Fuzzy Controllers”, Foundations of Computing and Decision Sciences, vol. 33, pp. 351–367, 2008.
E. Spaak and Haselager, P. F. G., “Imitation and mirror neurons: an evolutionary robotics model”, in BNAIC 2008: 20th Belgian-Dutch Conference on Artificial Intelligence, Enschede, 2008.
W. Jaskowski and Komosinski, M., “The Numerical Measure of Symmetry for 3D Stick Creatures”, Artificial Life Journal, vol. 14, pp. 425–443, 2008.
2007
J. A. Pyles, Garcia, J. O., Hoffman, D. D., and Grossman, E. D., “Visual perception and neural correlates of novel 'biological motion'”, Vision Research, vol. 47, pp. 2786–2797, 2007.
2006
J. Jelonek and Komosinski, M., “Biologically-inspired Visual-motor Coordination Model in a Navigation Problem”, in Knowledge-Based Intelligent Information and Engineering Systems. Lecture Notes in Computer Science 4253, B. Gabrys, Howlett, R. J., and Jain, L. C., Eds. Berlin: Springer-Verlag, 2006, pp. 341–348.
J. A. Pyles, Garcia, J. O., Hoffman, D. D., and Grossman, E. D., “Brain activity evoked by perception of novel "biological motion"”, Journal of Vision, vol. 6, pp. 794–794, 2006.
W. de Back, “Eco-evolutionary experiments with situated agents”, 2006.
W. Jaskowski and Komosinski, M., “Measuring symmetry of moving stick creatures”, Poznan University of Technology, Institute of Computing Science, 2006.
W. de Back, Wiering, M., and de Jong, E., “Red Queen dynamics in a predator-prey ecosystem”, Proceedings of the 8th annual conference on genetic and evolutionary computation, pp. 381–382, 2006.
M. Hoffmann, “Structural coupling with environment and its modelling on neural driven agents”, 2006.
2005
A. Adamatzky and Komosinski, M., Eds., Artificial Life Models in Software, First. New York: Springer, 2005.
M. Komosinski, “Framsticks: a platform for modeling, simulating and evolving 3D creatures”, in Artificial Life Models in Software, First., A. Adamatzky and Komosinski, M., Eds. New York: Springer, 2005, pp. 37–66.
2004
M. Komosinski and Ulatowski, S., “Genetic mappings in artificial genomes”, Theory in Biosciences, vol. 123, pp. 125–137, 2004.
2003
M. Hapke, Komosinski, M., and Waclawski, D., “Application of Evolutionarily Optimized Fuzzy Controllers for Virtual Robots”, in Proceedings of the 7th Joint Conference on Information Sciences, North Carolina, USA, 2003, pp. 1605–1608.
M. Komosinski, “The Framsticks system: versatile simulator of 3D agents and their evolution”, Kybernetes: The International Journal of Systems & Cybernetics, vol. 32, pp. 156–173, 2003.
P. Mandik, “Varieties of Representation in Evolved and Embodied Neural Networks”, Biology and Philosophy, vol. 18, pp. 95–130, 2003.

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