Research papers 
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P
M. Komosinski and Ulatowski, S., “Parallel computing in Framsticks”, Poznan University of Technology, Institute of Computing Science, RA-18/2013, 2013.
M. Komosinski and Miazga, K., “Parametrizing Convection Selection: Conclusions from the Analysis of Performance in the NKq Model”, in Genetic and Evolutionary Computation Conference (GECCO '19), July 13–17, 2019, Prague, Czech Republic, ACM, 2019, pp. 804–811.
K. Gorgolewski, Komosinski, M., Miazga, K., Rosinski, K., and Rychły, P., “Properties of movement of 3D agents”, Poznan University of Technology, Institute of Computing Science, RA-1/2019, 2019.
Q
M. Komosinski and Kubiak, M., “Quantitative measure of structural and geometric similarity of 3D morphologies”, Complexity, vol. 16, pp. 40–52, 2011.
R
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. Komosinski and Miazga, K., “Revealing the Inner Dynamics of Evolutionary Algorithms with Convection Selection”, in Genetic and Evolutionary Computation Conference Companion (GECCO '23), Lisbon, Portugal, 2023.
S
M. Hoffmann, “Structural coupling with environment and its modelling on neural driven agents”, 2006.
P. Mandik, “Synthetic Neuroethology”, Metaphilosophy, vol. 33, pp. 11–29, 2002.
T
M. Komosinski and Kubiak, M., Taxonomy in Alife. Measures of similarity for complex artificial organisms. Springer-Verlag, 2001, pp. 685–694.
M. Komosinski and Kups, A., “Time-order error and scalar variance in a computational model of human timing: simulations and predictions”, Computational Cognitive Science, vol. 1, pp. 1–24, 2015.
M. Komosinski and Miazga, K., “Tournament-based convection selection in evolutionary algorithms”, PPAM 2017 proceedings, Lecture Notes in Computer Science, vol. 10778, pp. 466–475, 2018.
M. Komosinski and Kups, A., “Type A and Type B Effects, Time-Order Error and Weber's Law in Human Timing – Simulations and Synthesis”, Poznan University of Technology, Institute of Computing Science, 2021.
U
M. Komosinski, “Universes and simulations: civilizational development in nested embedding”, Foundations of Computing and Decision Sciences, vol. 43, pp. 181–205, 2018.
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P. Mandik, “Varieties of Representation in Evolved and Embodied Neural Networks”, Biology and Philosophy, vol. 18, pp. 95–130, 2003.
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.
W
M. Komosinski, The World of Framsticks: Simulation, Evolution, Interaction. Berlin: Springer-Verlag, 2000, pp. 214–224.

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