@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 {2348,
	title = {Properties of movement of 3D agents},
	number = {RA-1/2019},
	year = {2019},
	institution = {Poznan University of Technology, Institute of Computing Science},
	url = {http://www.framsticks.com/files/common/PropertiesOfMovementOf3DAgents.pdf},
	author = {Krzysztof Gorgolewski and Maciej Komosinski and Konrad Miazga and Krzysztof Rosinski and Pawe{\l} Rych{\l}y}
}
@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}}
}
@inbook {Komosinski-et-al-2015,
	title = {Application of a morphological similarity measure to the analysis of shell morphogenesis in Foraminifera},
	booktitle = {Man{\textendash}Machine Interactions 4},
	series = {Advances in Intelligent Systems and Computing},
	volume = {391},
	year = {2016},
	pages = {215{\textendash}224},
	publisher = {Springer},
	organization = {Springer},
	abstract = {This work evaluates the genotype-to-phenotype mapping defined by one of the models of growth of foraminifera. Foraminifera are simple unicellular organisms with very diverse morphologies. To analyze the mapping, a morphological similarity measure is needed that compares 3D structures. One of the key components of the similarity estimation algorithm is Singular Value Decomposition (SVD). Since this algorithm is heavily used and its performance is important, four SVD implementations have been compared in this work. Distance matrices of the phenotypes obtained for equally distant genotypes were computed using the similarity measure. For the visualization of the phenotype space, multidimensional scaling techniques were used. Visual comparison of the genotype and the phenotype spaces revealed characteristics and potential weaknesses of the analyzed model of foraminifera growth, and demonstrated usefulness of the proposed approach.},
	isbn = {978-3-319-23436-6},
	doi = {10.1007/978-3-319-23437-3_18},
	url = {http://www.framsticks.com/files/common/ForaminiferaGenotypePhenotypeMapping.pdf},
	author = {Maciej Komosinski and Agnieszka Mensfelt and Topa, Pawe{\l} and Jaros{\l}aw Tyszka},
	editor = {Gruca, Aleksandra and Brachman, Agnieszka and Kozielski, Stanis{\l}aw and Czach{\'o}rski, Tadeusz}
}
@conference {gajda2016connectionist,
	title = {A connectionist approach to abductive problems: employing a learning algorithm},
	booktitle = {Proceedings of the 2016 Federated Conference on Computer Science and Information Systems (FedCSIS)},
	year = {2016},
	pages = {353{\textendash}362},
	publisher = {ACSIS},
	organization = {ACSIS},
	abstract = {This paper presents preliminary results of an application of artificial neural networks and Backpropagation learning algorithm to solve logical abductive problems. To represent logic programs in the form of artificial neural networks CIL2P approach proposed by Garcez et al. is employed. Our abductive procedure makes use of translation of a logic program representing a knowledge base into a neural network, training of the neural network with an example representing an abductive goal and translation of the trained network back to the form of a logic program. An abductive hypothesis is represented as the symmetric difference between the initial logic program and the one obtained after training of the network. The first part of the paper introduces formal description of the tools used to model the abductive process, while the second part illustrates our contribution with results of a few computational experiments and discusses the ways of possible improvements of the proposed procedure.},
	doi = {10.15439/2016F484},
	author = {Andrzej Gajda and Adam Kups and Mariusz Urba{\'n}ski},
	editor = {M. Ganzha and L. Maciaszek and M. Paprzycki}
}
@inbook {2346,
	title = {eVolutus: a configurable platform designed for ecological and evolutionary experiments tested on Foraminifera},
	booktitle = {Man{\textendash}Machine Interactions 4},
	year = {2016},
	publisher = {Springer},
	organization = {Springer},
	isbn = {978-3-319-23436-6},
	doi = {10.1007/978-3-319-23437-3_23},
	url = {http://dx.doi.org/10.1007/978-3-319-23437-3_23},
	author = {Pawe{\l} Topa and Maciej Komosinski and Maciej Bassara and Jaros{\l}aw Tyszka},
	editor = {Gruca, Aleksandra and Brachman, Agnieszka and Kozielski, Stanis{\l}aw and Czach{\'o}rski, Tadeusz}
}
@article {pyles2009neural,
	title = {Neural adaptation for novel objects during dynamic articulation},
	journal = {Neuropsychologia},
	volume = {47},
	number = {5},
	year = {2009},
	pages = {1261{\textendash}1268},
	publisher = {Elsevier},
	author = {Pyles, J.A. and Grossman, E.D.}
}
@article {pyles2007visual,
	title = {Visual perception and neural correlates of novel {\textquoteright}biological motion{\textquoteright}},
	journal = {Vision Research},
	volume = {47},
	number = {21},
	year = {2007},
	pages = {2786{\textendash}2797},
	publisher = {Elsevier},
	doi = {10.1016/j.visres.2007.07.017},
	url = {http://dx.doi.org/10.1016/j.visres.2007.07.017},
	author = {Pyles, J.A. and Garcia, J.O. and Hoffman, D.D. and Grossman, E.D.}
}
@inbook {Jelonek-and-Komosinski-2006,
	title = {Biologically-inspired Visual-motor Coordination Model in a Navigation Problem},
	booktitle = {Knowledge-Based Intelligent Information and Engineering Systems. Lecture Notes in Computer Science 4253},
	year = {2006},
	pages = {341{\textendash}348},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Berlin},
	abstract = {This work presents a biologically-inspired coordination model which associates motor actions with visual stimuli. The model is introduced and explained, and navigation experiments are reported that verify the implemented visual-motor system. Experiments demonstrate that the system can be trained to solve navigation problems consisting in moving around a 3D object to reach a specific location based on the visual information only. The model is flexible, as it is composed of an adjustable number of modules. It is also interpretable, i.e. it is possible to estimate the influence of visual features on the motor action.},
	doi = {10.1007/11893011_44},
	url = {http://www.framsticks.com/files/common/BiologicallyInspiredVisualMotorCoordinationModel.pdf},
	author = {Jacek Jelonek and Maciej Komosinski},
	editor = {B. Gabrys and R.J. Howlett and L.C. Jain}
}
@article {pyles2006brain,
	title = {Brain activity evoked by perception of novel "biological motion"},
	journal = {Journal of Vision},
	volume = {6},
	number = {6},
	year = {2006},
	pages = {794{\textendash}794},
	publisher = {Association for Research in Vision and Ophthalmology},
	author = {Pyles, J.A. and Garcia, J.O. and Hoffman, D.D. and Grossman, E.D.}
}
