Since the early beginnings of Evolutionary Computation, Finite State Machines (FSMs) have been applied to model organisms. We present a new approach to evolve such artificial organisms. The FSMs are subject to a difficult navigation and searching task in heterogeneous environments. We give a definition of FSM-species and investigate their formation. The results show that species are formed as the organisms agree on a common ‘genetic broadcast language’ and take advantage of the fruitful effects of recombination. As observed in natural ecosystems, higher abiotic diversity leads to higher biotic diversity.
CITATION STYLE
Rasek, A., Dörwald, W., Hauhs, M., Kastner-Maresch, A., & Kastner-Maresch, A. (1999). Species formation in evolving finite state machines. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1674, pp. 139–148). Springer Verlag. https://doi.org/10.1007/3-540-48304-7_20
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