Bibliography

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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.
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.
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, vol. 391, A. Gruca, Brachman, A., Kozielski, S., and Czachórski, T., Eds. Springer, 2016, pp. 269–278.
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, vol. 391, A. Gruca, Brachman, A., Kozielski, S., and Czachórski, T., Eds. Springer, 2016, pp. 269–278.
P. Topa, Komosinski, M., Tyszka, J., Mensfelt, A., Rokitta, S., Byrski, A., and Bassara, M., eVolutus: A New Platform for Evolutionary Experiments, in Parallel Processing and Applied Mathematics: 11th International Conference, PPAM 2015, Krakow, Poland, September 6–9, 2015. Revised Selected Papers, Part II, R. Wyrzykowski, Deelman, E., Dongarra, J., Karczewski, K., Kitowski, J., and Wiatr, K., Eds. Springer, 2016, pp. 570–580.
P. Topa, Komosinski, M., Tyszka, J., Mensfelt, A., Rokitta, S., Byrski, A., and Bassara, M., eVolutus: A New Platform for Evolutionary Experiments, in Parallel Processing and Applied Mathematics: 11th International Conference, PPAM 2015, Krakow, Poland, September 6–9, 2015. Revised Selected Papers, Part II, R. Wyrzykowski, Deelman, E., Dongarra, J., Karczewski, K., Kitowski, J., and Wiatr, K., Eds. Springer, 2016, pp. 570–580.
P. Topa, Komosinski, M., Tyszka, J., Mensfelt, A., Rokitta, S., Byrski, A., and Bassara, M., eVolutus: A New Platform for Evolutionary Experiments, in Parallel Processing and Applied Mathematics: 11th International Conference, PPAM 2015, Krakow, Poland, September 6–9, 2015. Revised Selected Papers, Part II, R. Wyrzykowski, Deelman, E., Dongarra, J., Karczewski, K., Kitowski, J., and Wiatr, K., Eds. Springer, 2016, pp. 570–580.
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 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.
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.
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. 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.
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 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: 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, Kups, A., and Urbanski, M., Multi-criteria evaluation of abductive hypotheses: towards efficient optimization in proof theory, in Proceedings of the 18th International Conference on Soft Computing, Brno, Czech Republic, 2012, pp. 320–325.
M. Komosinski, Kups, A., and Urbanski, M., Multi-criteria evaluation of abductive hypotheses: towards efficient optimization in proof theory, in Proceedings of the 18th International Conference on Soft Computing, Brno, Czech Republic, 2012, pp. 320–325.
Conference Proceedings
M. Komosinski and Miazga, K., Parametrizing Convection Selection: Conclusions from the Analysis of Performance in the NKq Model, Genetic and Evolutionary Computation Conference (GECCO '19), July 13–17. ACM, Prague, Czech Republic, pp. 804–811, 2019.
Journal Article
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.
S. Chlebowski, Komosinski, M., and Kups, A., Automated Generation of Erotetic Search Scenarios: Classification, Optimization, and Knowledge Extraction, ACM Transactions on Computational Logic, vol. 18, no. 2, pp. 8:1–8:27, 2017.
S. Chlebowski, Komosinski, M., and Kups, A., Automated Generation of Erotetic Search Scenarios: Classification, Optimization, and Knowledge Extraction, ACM Transactions on Computational Logic, vol. 18, no. 2, pp. 8:1–8:27, 2017.
M. Komosinski and Szachewicz, P., Automatic species counterpoint composition by means of the dominance relation, Journal of Mathematics and Music, vol. 9, no. 1, pp. 75-94, 2015.
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 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.
M. Komosinski and Mensfelt, A., Emotions perceived and emotions experienced in response to computer-generated music, Music Perception, vol. 33, no. 4, pp. 432–445, 2016.
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, Koczyk, G., and Kubiak, M., On estimating similarity of artificial and real organisms, Theory in Biosciences, vol. 120, pp. 271–286, 2001.
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. Hapke and Komosinski, M., Evolutionary Design of Interpretable Fuzzy Controllers, Foundations of Computing and Decision Sciences, vol. 33, pp. 351–367, 2008.
M. Komosinski and Krawiec, K., Evolutionary weighting of image features for diagnosing of CNS tumors, Artificial Intelligence In Medicine, Special Issue on Evolutionary Computation in Medicine, vol. 19, pp. 25–38, 2000.
M. Komosinski and Krawiec, K., Evolutionary weighting of image features for diagnosing of CNS tumors, Artificial Intelligence In Medicine, Special Issue on Evolutionary Computation in Medicine, vol. 19, pp. 25–38, 2000.
M. Komosinski and Ulatowski, S., Genetic mappings in artificial genomes, Theory in Biosciences, vol. 123, pp. 125–137, 2004.
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, no. 4, pp. 28:1–28:20, 2014.
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, no. 4, pp. 28:1–28:20, 2014.
M. Komosinski and Kups, A., Implementation and Simulation of the Scalar Timing Model, Bio-Algorithms and Med-Systems, vol. 7, no. 4, pp. 41–52, 2011.
M. Komosinski and Kups, A., Implementation and Simulation of the Scalar Timing Model, Bio-Algorithms and Med-Systems, vol. 7, no. 4, pp. 41–52, 2011.
I. Błądek, Komosinski, M., and Miazga, K., Mappism: formalizing classical and artificial life views on mind and consciousness, Foundations of Computing and Decision Sciences, vol. 44, no. 1, pp. 55–99, 2019.
M. Komosinski, Measuring quantities using oscillators and pulse generators, Theory in Biosciences, vol. 131, pp. 103–116, 2012.
P. Topa, Faber, Ł., Tyszka, J., and Komosinski, M., Modelling ecology and evolution of Foraminifera in the agent-oriented distributed platform, Journal of Computational Science, vol. 18, pp. 69–84, 2017.
M. Komosinski and ok, T. Ż., Morality, protection, security and gain: lessons from a minimalistic, economically inspired multi-agent model, Foundations of Computing and Decision Sciences, vol. 45, pp. 17–33, 2020.
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 Ulatowski, S., Multithreaded computing in evolutionary design and in artificial life simulations, The Journal of Supercomputing, vol. 73, no. 5, pp. 2214–2228, 2017.
W. Jaskowski and Komosinski, M., The Numerical Measure of Symmetry for 3D Stick Creatures, Artificial Life Journal, vol. 14, no. 4, pp. 425–443, 2008.
M. Komosinski and Kups, A., Postrzeganie czasu przez człowieka: specyfika, modele i symulacje, Anestezjologia i Ratownictwo, vol. 7, pp. 113–124, 2013.
M. Komosinski and Kups, A., Postrzeganie czasu przez człowieka: specyfika, modele i symulacje, Anestezjologia i Ratownictwo, vol. 7, pp. 113–124, 2013.
M. Komosinski and Kubiak, M., Quantitative measure of structural and geometric similarity of 3D morphologies, Complexity, vol. 16, pp. 40–52, 2011.
M. Komosinski and Kubiak, M., Quantitative measure of structural and geometric similarity of 3D morphologies, Complexity, vol. 16, pp. 40–52, 2011.
M. Komosinski, Sztuczne życie. Algorytmy inspirowane biologicznie, Nauka, vol. 2008, pp. 7–21, 2008.
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, no. 1, pp. 1–24, 2015.
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, no. 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, 2018.
M. Komosinski, Universes and simulations: civilizational development in nested embedding, Foundations of Computing and Decision Sciences, vol. 43, no. 3, pp. 181–205, 2018.
M. Komosinski, Życie w komputerze: symulacja czy rzeczywistość?, Nauka, vol. 2011, no. 2, pp. 83–93, 2011.
Miscellaneous
M. Komosinski and Kubiak, M., Aspekt geometrii w szacowaniu podobieństwa wirtualnych organizmów. Poznan University of Technology, Institute of Computing Science, 2004.
M. Komosinski and Kubiak, M., Aspekt geometrii w szacowaniu podobieństwa wirtualnych organizmów. Poznan University of Technology, Institute of Computing Science, 2004.
M. Komosinski, Człowieczeństw0. 2019.
M. Hapke, Komosinski, M., and Waclawski, D., Evolutionary optimization of fuzzy controllers for virtual robots. Poznan University of Technology, Institute of Computing Science, 2002.
M. Komosinski and , R., Evolutionary weighting of features for classification. Poznan University of Technology, Institute of Computing Science, 1999.
M. Komosinski, Blaszczynski, J., and Szymanski, M., Ewolucyjna optymalizacja fraz muzycznych sterowana przez człowieka. Poznan University of Technology, Institute of Computing Science, 2001.
M. Komosinski, Humann3ss. 2019.
M. Komosinski, Nesting. 2016.
M. Komosinski and Kubiak, M., Visualizing dynamics of evolutionary optimization processes in spaces of reduced dimensionality. Poznan University of Technology, Institute of Computing Science, 2005.
M. Komosinski and Kubiak, M., Visualizing dynamics of evolutionary optimization processes in spaces of reduced dimensionality. Poznan University of Technology, Institute of Computing Science, 2005.
M. Komosinski, Zagnieżdżenie. 2016.
Report
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., Evolutionary construction of derivations in classical propositional logic using a symbolic-connectionist representation, Poznan University of Technology, Institute of Computing Science, RA–3/17, 2017.
M. Komosinski and Kups, A., Evolutionary construction of derivations in classical propositional logic using a symbolic-connectionist representation, Poznan University of Technology, Institute of Computing Science, RA–3/17, 2017.
M. Komosinski, Evolutionary design of tall structures, Poznan University of Technology, Institute of Computing Science, 2012.
M. Komosinski and Mensfelt, A., Human perception of similarity of 3D graph structures, 2020.
W. Jaskowski and Komosinski, M., Measuring symmetry of moving stick creatures, Poznan University of Technology, Institute of Computing Science, 2006.
M. Komosinski, Mobile health: assessment of upper limb motor function via a drawing test on a mobile device, Poznan University of Technology, Institute of Computing Science, RA–7/15, 2015.
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.
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.
M. Komosinski and Ulatowski, S., Parallel computing in Framsticks, Poznan University of Technology, Institute of Computing Science, RA-18/2013, 2013.
M. Komosinski, Podstawowe parametry ruchu piórka w teście rysunkowym i ich zastosowanie w diagnostyce motoryki kończyn górnych, Poznan University of Technology, Institute of Computing Science, RB-04/08, 2008.
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.
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 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.