Research papers 
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G
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.
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.
J
W. Jaskowski and Komosinski, M., The Numerical Measure of Symmetry for 3D Stick Creatures, Artificial Life Journal, vol. 14, pp. 425–443, 2008.
W. Jaskowski and Komosinski, M., Measuring symmetry of moving stick creatures, Poznan University of Technology, Institute of Computing Science, 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.
K
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, 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.
M. Komosinski, Kups, A., Leszczyńska-Jasion, D., and Urbański, M., Identifying efficient abductive hypotheses using multi-criteria dominance relation, ACM Transactions on Computational Logic, vol. 15, pp. 28:1–28:20, 2014.
M. Komosinski, Universes and simulations: civilizational development in nested embedding, Foundations of Computing and Decision Sciences, vol. 43, pp. 181–205, 2018.
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 Adamatzky, A., Eds., Artificial Life Models in Software, Second. Springer, 2009.

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