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Evolution of coloration in the Galliformes
VALENZOVÁ, Zdeňka
The coloration of plumage and ornaments in the groups Numididae, Odonthophoridae and Phasianidae (within the order Galliformes) was detailled described and analyzed. The ecological factors affecting the evolution of dichromatism and conspicuousness were tested.
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Historical evolution view on the substance of the light
ANDERL, Jan
The principle of the seminar work is to create the skilled text which could be used such as educational material for other students to they can better understand to the evolution of opinions on the substance of the light. The work is composed from the five parts. Each part is enplaining the view of the scientists on the substance of the light from the certain period. The first part is connected to the era of the antiquity {--} the period of the first contentions about the substance of the light. The second part is intent on the era from the fifth century (Optical theory) to the nineteen century (Young theory ). The third part refers to the 20th century. The fourth part apply to the present, to the newest researches and work in the sphere of the light. The fifth part is created by the biographies of the most meaningful people who have been working on the question about the substance of the light.
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Unlimited Evolutionary Growth of the Computational Power of Self-Reproducing Automata and Other Results
Wiedermann, Jiří
We design two original computational models - viz. a globular universe and the autopoietic automata - capturing essential features of evolution: the construction of self-reproducing evolutionary automata via self-assembly and genetic information transfer from the parents to their offsprings. Within this framework we show the unlimited growth of the computational power of automata during their evolution and we characterize the power of lineages of such automata with the help of interactive Turing machines.
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Super-Turing Computational Potential of Cognitive and Evolutionary Systems
Wiedermann, Jiří
The computational potential of artificial living systems is investigated. Each organism is modelled by so-called cognitive automaton. It is any finite state device with a finite configuration space that processes infinite streams of input symbols. Examples of such automata are finite state automata, discrete neural networks, Boolean circuits, etc. It is shown that non-uniform families of cognitive automata and community of cognitive automata possess a super-Turing computing potential.
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