Research papers 
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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.
M. Komosinski, Mensfelt, A., Topa, P., Tyszka, J., and Ulatowski, S., “Foraminifera: genetics, morphology, simulation, evolution”. 2014.
M. Komosinski and Rotaru-Varga, A., “Comparison of different genotype encodings for simulated 3D agents”, Artificial Life Journal, vol. 7, pp. 395–418, 2001.
M. Komosinski, “Applications of a similarity measure in the analysis of populations of 3D agents”, Journal of Computational Science, vol. 21, pp. 407–418, 2017.
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.
M. Komosinski and Rosinski, K., “Estimating similarity of neural network dynamics”, Poznan University of Technology, Institute of Computing Science, RA-10/10, 2010.
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.
M. Komosinski and Adamatzky, A., Eds., Artificial Life Models in Software, Second. Springer, 2009.
M. Komosinski and Ulatowski, S., “Framsticks: sztuczne życie – złożona symulacja stworzeń i ich ewolucji”, in Materiały konferencyjne III Krajowej Konferencji Algorytmy Ewolucyjne i Optymalizacja Globalna KAEiOG (Proceedings of the National Conference on Evolutionary Computation and Global Optimization), Potok Złoty, 1999, pp. 157–166.
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, “Nesting”. 2016.
M. Komosinski and Miazga, K., “Measuring properties of movement in populations of evolved 3D agents”, in Artificial Life Conference Proceedings, H. Fellermann, Bacardit, J., Goni-Moreno, A., and Füchslin, R. M., Eds. MIT Press, 2019, pp. 485–492.
M. Komosinski and Ulatowski, S., “Framsticks – Artificial Life”, in ECML 98 Demonstration and Poster Papers, Chemnitz, 1998, pp. 7–9.
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, Mensfelt, A., Tyszka, J., and Goleń, J., “Multi-agent simulation of benthic foraminifera response to annual variability of feeding fluxes”, Journal of Computational Science, vol. 21, pp. 419–431, 2017.
M. Komosinski and Mensfelt, A., “A Flexible Dissimilarity Measure for Active and Passive 3D Structures and Its Application in the Fitness–Distance Analysis”, in Applications of Evolutionary Computation, 2019.
M. Komosinski and Mensfelt, A., “Human perception of similarity of 3D graph structures”, 2020.
M. Komosinski and Ulatowski, S., “Framsticks Web Site”. 1996.
M. Komosinski and Ulatowski, S., Framsticks: towards a simulation of a nature-like world, creatures and evolution. Springer-Verlag, 1999, pp. 261–265.
M. Komosinski and Ulatowski, S., “Parallel computing in Framsticks”, Poznan University of Technology, Institute of Computing Science, RA-18/2013, 2013.
M. Komosinski, Koczyk, G., and Kubiak, M., “On estimating similarity of artificial and real organisms”, Theory in Biosciences, vol. 120, pp. 271–286, 2001.
M. Komosinski and Ulatowski, S., “Multithreaded computing in evolutionary design and in artificial life simulations”, The Journal of Supercomputing, vol. 73, pp. 2214–2228, 2017.
M. Komosinski and Miazga, K., “Comparison of the tournament-based convection selection with the island model in evolutionary algorithms”, Journal of Computational Science, vol. 32, pp. 106–114, 2018.
A. Klejda, Komosinski, M., and Mensfelt, A., “Diversification Techniques and Distance Measures in Evolutionary Design of 3D Structures”, in Genetic and Evolutionary Computation Conference Companion (GECCO '22), Boston, USA, 2022.
P. Kaszuba, Komosinski, M., and Mensfelt, A., “Automated development of latent representations for optimization of sequences using autoencoders”, in 2021 IEEE Congress on Evolutionary Computation (CEC), 2021.

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