Abstract
This paper describes a method for a computer exploration of formation of structures based on the network of autonomous units. This method has a biological correspondence with morphogenetic processes. The interactions in the network of autonomous units are modeled by two kinds of forces: repulsive and attractive forces. When and what kind of forces are active at each unit is based on genetic information and environmental factors. Genetic information enables the use of evolutionary algorithms to evolve the interactions and thus to create new structures. Environmental factors provide the needed restrictions for the space of possible structures. Depending on what meaning is given to the units, the system is capable of simulating various kinds of emergent phenomena. For example, in the case where units are interpreted as cells, where the repulsive and attractive forces represent collision and adhesion forces, a formation of multicellular organism can be achieved.
During this work the first author has been affiliated at ATR Human Information Processing Research Laboratories
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© 1995 Springer-Verlag Berlin Heidelberg
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Vaario, J., Shimohara, K. (1995). On formation of structures. In: Morán, F., Moreno, A., Merelo, J.J., Chacón, P. (eds) Advances in Artificial Life. ECAL 1995. Lecture Notes in Computer Science, vol 929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59496-5_316
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DOI: https://doi.org/10.1007/3-540-59496-5_316
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