@article {Komosinski-2016,
	title = {Applications of a similarity measure in the analysis of populations of 3D agents},
	journal = {Journal of Computational Science},
	volume = {21},
	year = {2017},
	pages = {407{\textendash}418},
	abstract = {Research in complex collective and multi-agent systems often involves building models of three-dimensional biological life or evolving such structures in virtual environments. Applications stemming from evolutionary design, engineering, robotics, and artificial life require processing of large numbers of such agents that are encoded in some form of a "genotype". However, what is important in evaluation is the "phenotype", i.e. the actual 3D body and its properties. This work introduces a number of ways in which a measure of similarity of 3D agents can support researchers in recognizing the link between the genotype and phenotype spaces, building taxonomies of 3D bodies and automatically selecting representative agents. The measure of similarity employed here is based on phenotypes and places few restrictions on the compared designs, so it can be applied independently of genetic representation.},
	issn = {1877-7503},
	doi = {10.1016/j.jocs.2016.10.004},
	url = {http://www.framsticks.com/files/common/SimilarityPopulations3DAgents.pdf},
	author = {Maciej Komosinski}
}
@article {Chlebowski-et-al-2017,
	title = {Automated Generation of Erotetic Search Scenarios: Classification, Optimization, and Knowledge Extraction},
	journal = {ACM Transactions on Computational Logic},
	volume = {18},
	number = {2},
	year = {2017},
	pages = {8:1{\textendash}8:27},
	publisher = {ACM},
	address = {New York},
	abstract = {This paper concerns automated generation and processing of erotetic search scenarios (ESSs). ESSs are formal constructs characterized in Inferential Erotetic Logic that enable finding possible answers to a posed question by decomposing it into auxiliary questions. The first part of this work describes a formal account on ESSs. The formal approach is then applied to automatically generate ESSs, and the resulting scenarios are evaluated according to a number of criteria. These criteria are subjected to discordance analysis that reveals their mutual relationships. Finally, knowledge concerning relationships between different values of evaluation criteria is extracted by applying Apriori - an association rules mining algorithm. The proposed approach of integration of formal erotetic logic with computational tools provides an extensive insight into the former and helps with the development of efficient ESSs.},
	keywords = {knowledge extraction, Logic of questions, multicriteria analysis, optimal erotetic scenario, rule mining},
	issn = {1529-3785},
	doi = {10.1145/3056537},
	url = {http://www.cs.put.poznan.pl/mkomosinski/research/automated-erotetic-search-scenarios.pdf},
	author = {Chlebowski, Szymon and Maciej Komosinski and Adam Kups}
}
@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 Pawe{\l} Topa and Jaros{\l}aw Tyszka},
	editor = {Gruca, Aleksandra and Brachman, Agnieszka and Kozielski, Stanis{\l}aw and Czach{\'o}rski, Tadeusz}
}
@article {80,
	title = {Automatic species counterpoint composition by means of the dominance relation},
	journal = {Journal of Mathematics and Music},
	volume = {9},
	year = {2015},
	pages = {75-94},
	doi = {10.1080/17459737.2014.935816},
	url = {http://www.cs.put.poznan.pl/mkomosinski/research/counterpoint-composition-dominance-relation.pdf},
	author = {Maciej Komosinski and Piotr Szachewicz}
}
@booklet {Komosinski-and-Kubiak-2004r,
	title = {Aspekt geometrii w szacowaniu podobie{\'n}stwa wirtualnych organizm{\'o}w},
	number = {RB-002/04},
	year = {2004},
	publisher = {Poznan University of Technology, Institute of Computing Science},
	author = {Maciej Komosinski and Marek Kubiak}
}
@conference {Hapke-et-al-2003,
	title = {Application of Evolutionarily Optimized Fuzzy Controllers for Virtual Robots},
	booktitle = {Proceedings of the 7th Joint Conference on Information Sciences},
	year = {2003},
	month = {September},
	pages = {1605{\textendash}1608},
	publisher = {Association for Intelligent Machinery},
	organization = {Association for Intelligent Machinery},
	address = {North Carolina, USA},
	url = {http://www.framsticks.com/files/common/Komosinski_FuzzyControl_CINC2003.pdf},
	author = {Maciej Hapke and Maciej Komosinski and Dawid Waclawski}
}
