This paper describes a method for a computer exploration of formation of structures based on the network of autonomous uuits. 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.
CITATION STYLE
Vaario, J., & Shimohara, K. (1995). On formation of structures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 929, pp. 421–435). Springer Verlag. https://doi.org/10.1007/3-540-59496-5_316
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