@article {2342,
	title = {Mappism: formalizing classical and artificial life views on mind and consciousness},
	journal = {Foundations of Computing and Decision Sciences},
	volume = {44},
	number = {1},
	year = {2019},
	pages = {55{\textendash}99},
	doi = {10.2478/fcds-2019-0005},
	url = {http://www.framsticks.com/files/common/MappismConsciousness.pdf},
	author = {Iwo B{\l}{\k a}dek and Maciej Komosinski and Konrad Miazga}
}
@inbook {2349,
	title = {Measuring properties of movement in populations of evolved 3D agents},
	booktitle = {Artificial Life Conference Proceedings},
	year = {2019},
	pages = {485{\textendash}492},
	publisher = {MIT Press},
	organization = {MIT Press},
	doi = {10.1162/isal_a_00208},
	author = {Maciej Komosinski and Konrad Miazga},
	editor = {Harold Fellermann and Jaume Bacardit and Angel Goni-Moreno and Rudolf M. F{\"u}chslin}
}
@article {Komosinski-et-al-2016,
	title = {Multi-agent simulation of benthic foraminifera response to annual variability of feeding fluxes},
	journal = {Journal of Computational Science},
	volume = {21},
	year = {2017},
	pages = {419{\textendash}431},
	abstract = {In this work we describe a novel simulation model of foraminifera and their microhabitat. The simulations reported here are focused on the response of foraminiferal populations to environmental feeding fluxes. The experiments allowed to calibrate the model and to simulate realistic population patterns known from culture experiments, as well as from oceanographic and paleoecologic studies. Variability of annual food flux has a direct impact on productivity of foraminifera: population sizes closely follow the intensity of constant and seasonal food fluxes in both scenarios. This correlation between the food influx and population size is interpreted as the consequence of changing the carrying capacity of the system. Seasonal pulses of particulate organic matter enhance the population size which is represented by a higher number of fossilized shells. Our model offers a flexible experimental design to run sophisticated in silico experiments. This approach reveals a novel methodology for testing sensitivity of fossil and recent foraminiferal assemblages to environmental changes. Furthermore, it facilitates predictive applications for monitoring studies based on simulation of various scenarios.},
	issn = {1877-7503},
	doi = {10.1016/j.jocs.2016.09.009},
	url = {http://www.framsticks.com/files/common/SimulationForaminiferaFeedingFluxes.pdf},
	author = {Maciej Komosinski and Agnieszka Mensfelt and Jaros{\l}aw Tyszka and Jan Gole{\'n}}
}
@article {Komosinski-and-Ulatowski-2016,
	title = {Multithreaded computing in evolutionary design and in artificial life simulations},
	journal = {The Journal of Supercomputing},
	volume = {73},
	year = {2017},
	pages = {2214{\textendash}2228},
	chapter = {5},
	abstract = {This article investigates low-level and high-level multithreaded performance of evolutionary processes that are typically employed in evolutionary design and artificial life. Computations performed in these areas are specific because evaluation of each genotype usually involves time-consuming simulation of virtual environments and physics. Computational experiments have been conducted using the Framsticks simulator running a multithreaded version of a standard evolutionary experiment. Tests carried out on five diverse machines and two operating systems demonstrated how low-level performance depends on the number of physical and logical CPU cores and on the number of threads. Two string implementations have been compared, and their raw performance turned out to fundamentally differ in a multithreading setup. To improve high-level performance of parallel evolutionary algorithms, i.e. the quality of optimized solutions, a new distribution scheme that is especially useful and efficient for complex representations of solutions {\textendash} the convection distribution {\textendash} has been introduced. This new distribution scheme has been compared against a random distribution of genotypes among threads that carry out evolutionary processes.},
	issn = {1573-0484},
	doi = {10.1007/s11227-016-1923-4},
	url = {http://www.framsticks.com/files/common/MultithreadedEvolutionaryDesign.pdf},
	author = {Maciej Komosinski and Szymon Ulatowski}
}
@article {Komosinski-and-Kups-2009r,
	title = {Models and implementations of timing processes using Artificial Life techniques},
	number = {RA-05/09},
	year = {2009},
	institution = {Poznan University of Technology, Institute of Computing Science},
	type = {Research report},
	abstract = {This work presents implementation of the Scalar Timing Model (STM) in the neural networks environment. STM is rather popular and commonly used model in the perception of time intervals in humans and animals fields of study. Currently many experiments are conducted in order to verify and research STM parameters and attributes. One of the goal of the implementation was to check whether theoretical model will cope with constraints of artificial neural networks. During implementation process it turned out, that scheme of the model should be revised (by adding extra components) in order to maintain it{\textquoteright}s functional adequacy. Another case was to check how does manipulations of certain parameters will influence collected representation of the real time within model. In this preliminary research we focus on the pacemaker module. Conclusion of this research is that appropriate choice of distribution form of impulses generated by pacemaker make it simulation of the model more congruent with the experimentally collected data then with formal assumptions of STM.},
	url = {http://www.framsticks.com/files/common/HumanTimingModelsSimulations.pdf},
	author = {Maciej Komosinski and Adam Kups}
}
@article {Komosinski-and-Jaskowski-2006r,
	title = {Measuring symmetry of moving stick creatures},
	year = {2006},
	institution = {Poznan University of Technology, Institute of Computing Science},
	issn = {RA{\textendash}20/06},
	author = {Wojciech Jaskowski and Maciej Komosinski}
}
