Research papers 
Book Chapter
M. Komosinski, Mensfelt, A., Topa, P., and Tyszka, J., Application of a morphological similarity measure to the analysis of shell morphogenesis in Foraminifera, in Man–Machine Interactions 4, vol. 391, A. Gruca, Brachman, A., Kozielski, S., and Czachórski, T., Eds. Springer, 2016, pp. 215–224.
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.
P. Topa, Komosinski, M., Bassara, M., and Tyszka, J., eVolutus: a configurable platform designed for ecological and evolutionary experiments tested on Foraminifera, in Man–Machine Interactions 4, A. Gruca, Brachman, A., Kozielski, S., and Czachórski, T., Eds. Springer, 2016.
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 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 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 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.
Conference Paper
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.
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.
A. Gajda, Kups, A., and Urbański, M., A connectionist approach to abductive problems: employing a learning algorithm, in Proceedings of the 2016 Federated Conference on Computer Science and Information Systems (FedCSIS), 2016, pp. 353–362.
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.
M. Komosinski and Miazga, K., Diversity control in evolution of movement, in Artificial Life Conference Proceedings, 2021.
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.
K. Basiukajc, Komosinski, M., and Miazga, K., Fitness Diversification in the Service of Fitness Optimization: a Comparison Study, in Genetic and Evolutionary Computation Conference Companion (GECCO '22), Boston, USA, 2022.
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 Ulatowski, S., Framsticks – Artificial Life, in ECML 98 Demonstration and Poster Papers, Chemnitz, 1998, pp. 7–9.
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.
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.

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