Abstract
Autoimmune disease is a group of pathological events identified by abnormal reactions of the immune system against self-structures of the organism. Pathogenesis of autoimmune diseases is multi-factorial. Genetics, infections, and environmental factors can support the progress of the autoimmunity. We investigated this mechanism using in vivo or in vitro approaches. Main aim of this manuscript is to explore the autoimmunity with in-silico approach - multi-agent systems. The preliminary research finds out which results can be acquired using factual data applied for building the multi-agent-based model. Preliminary computational model integrates one of the common aspects of autoimmune diseases - abnormal behaviour of B-cells during their organogenesis.
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The support of the Specific research project at FIM UHK and Czech Science Foundation project Nr. 14-02424S is gratefully acknowledged.
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Cimler, R., Husáková, M., Koláčková, M. (2016). Exploration of Autoimmune Diseases Using Multi-agent Systems. In: Nguyen, N., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9876. Springer, Cham. https://doi.org/10.1007/978-3-319-45246-3_27
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