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Simulations of open-ended evolution
Prax, Sebastian ; Toman, Jan (advisor) ; Tureček, Petr (referee)
Evolutionary algorithms are used to solve a number of optimization problems in the computer science. At the same time, they are fundamental pillar for creating evolutionary simulations and testing scientific hypotheses in a various areas of theoretical biology. In the first half of my work, I characterize the concept of "open-ended evolution", focus on its connection with the technical side of simulations and introduce readers to the problematics of system simulation. Further on, I deal with the phenomenon of increasing complexity and the idea of "evolutionary progress". All these topics are confronted with various perspectives of researchers in the field of evolutionary biology. In the second half, I summarize the benefits of existing projects for evolutionary biology and applied informatics, as well as the ways in which the simulations of open-ended evolution can be approached. Basically, these projects can be divided into two categories. They are either projects in which individuals develop towards a predefined goal, which is conditioned by a fitness function, or projects of researchers who seek to achieve an open-ended evolution by employing biologically realistic design of the genetic code and environment in conjunction with the absence of a particular attractor in the evolution of virtual...
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