Bibliography

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Author [ Title(Desc)] Type Year
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A
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. 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.
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.
Artificial Life Models in Hardware. Springer, 2009.
Artificial Life Models in Software, Second. Springer, 2009.
Artificial Life Models in Software, First. New York: Springer, 2005.
M. Komosinski and Kubiak, M., Aspekt geometrii w szacowaniu podobieństwa wirtualnych organizmów. Poznan University of Technology, Institute of Computing Science, 2004.
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.
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.
B
Biologically-inspired Visual-motor Coordination Model in a Navigation Problem, in Knowledge-Based Intelligent Information and Engineering Systems. Lecture Notes in Computer Science 4253, Berlin: Springer-Verlag, 2006, pp. 341–348.
E
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 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. Hapke and Komosinski, M., Evolutionary Design of Interpretable Fuzzy Controllers, Foundations of Computing and Decision Sciences, vol. 33, pp. 351–367, 2008.
M. Komosinski, Evolutionary design of tall structures, Poznan University of Technology, Institute of Computing Science, 2012.
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 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.
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.
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, Blaszczynski, J., and Szymanski, M., Ewolucyjna optymalizacja fraz muzycznych sterowana przez człowieka. Poznan University of Technology, Institute of Computing Science, 2001.
F
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.
Framsticks: a platform for modeling, simulating and evolving 3D creatures, in Artificial Life Models in Software, New York: Springer, 2005, pp. 37–66.
Framsticks – Artificial Life, in ECML 98 Demonstration and Poster Papers, Chemnitz, 1998, pp. 7–9.
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.
The Framsticks system: versatile simulator of 3D agents and their evolution, Kybernetes: The International Journal of Systems & Cybernetics, vol. 32, pp. 156–173, 2003.
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.
Framsticks: towards a simulation of a nature-like world, creatures and evolution, in Advances in Artificial Life. Lecture Notes in Artificial Intelligence 1674, Springer-Verlag, 1999, pp. 261–265.
From Directed to Open-Ended Evolution in a Complex Simulation Model, in Artificial Life VII, MIT Press, 2000, pp. 293–299.
G
Genetic algorithms in constructive induction, in Foundations of Intelligent Systems. Lecture Notes in Artificial Intelligence 1609, Springer-Verlag, 1999, pp. 665–673.
M. Komosinski and Ulatowski, S., Genetic mappings in artificial genomes, Theory in Biosciences, vol. 123, pp. 125–137, 2004.
M
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 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, Measuring quantities using oscillators and pulse generators, Theory in Biosciences, vol. 131, pp. 103–116, 2012.
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.
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 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 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, 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 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.
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, Genetic and Evolutionary Computation Conference (GECCO '19), July 13–17. ACM, Prague, Czech Republic, pp. 804–811, 2019.
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.
M. Komosinski and Kups, A., Postrzeganie czasu przez człowieka: specyfika, modele i symulacje, Anestezjologia i Ratownictwo, vol. 7, pp. 113–124, 2013.
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.
U
M. Komosinski, Universes and simulations: civilizational development in nested embedding, Foundations of Computing and Decision Sciences, vol. 43, no. 3, pp. 181–205, 2018.
Using n²-classifier in constructive induction, in ECML 98 Workshop on Upgrading Learning to the Meta-Level: Model Selection and Data Transformation, Chemnitz, 1998, pp. 21–29.
W
The World of Framsticks: Simulation, Evolution, Interaction, in Virtual Worlds. Lecture Notes in Artificial Intelligence No. 1834, Berlin: Springer-Verlag, 2000, pp. 214–224.