Framsticks

Research papers

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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.

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.

C

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. 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.

D

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.

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.

M. Komosinski, Mensfelt, A., Topa, P., Tyszka, J., and Ulatowski, S., “Foraminifera: genetics, morphology, simulation, evolution”. 2014.

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 Rotaru-Varga, A., From Directed to Open-Ended Evolution in a Complex Simulation Model. MIT Press, 2000, pp. 293–299.

H

M. Komosinski and Mensfelt, A., “Human perception of similarity of 3D graph structures”, 2020.

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, 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, 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.

P

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.

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.

R

M. Komosinski and Miazga, K., “Revealing the Inner Dynamics of Evolutionary Algorithms with Convection Selection”, in Genetic and Evolutionary Computation Conference Companion (GECCO '23), Lisbon, Portugal, 2023.

S

P. Mandik, “Synthetic Neuroethology”, Metaphilosophy, vol. 33, pp. 11–29, 2002.

T

M. Komosinski and Miazga, K., “Tournament-based convection selection in evolutionary algorithms”, PPAM 2017 proceedings, Lecture Notes in Computer Science, vol. 10778, pp. 466–475, 2018.

V

P. Mandik, “Varieties of Representation in Evolved and Embodied Neural Networks”, Biology and Philosophy, vol. 18, pp. 95–130, 2003.