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Multilevel selection theory
Mihulka, Tomáš ; Švorcová, Jana (advisor) ; Toman, Jan (referee)
Multilevel selection is an attempt to unify different approaches to the Level of selection problem. This paper examines the principles, starting points, variants and problems of this concept. Particular emphasis is placed on the relationship of this theory to Gene's-eye view and the presentation of evidence of the usefulness of Multilevel selection in analyzing evolutionary changes.
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Multilevel selection theory
Mihulka, Tomáš ; Švorcová, Jana (advisor) ; Toman, Jan (referee)
Multilevel selection is an attempt to unify different approaches to the Level of selection problem. This paper examines the principles, starting points, variants and problems of this concept. Particular emphasis is placed on the relationship of this theory to Gene's-eye view and the presentation of evidence of the usefulness of Multilevel selection in analyzing evolutionary changes.
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Multicriteria decision making in selecting employees
Libichová, Tereza ; Fiala, Petr (advisor) ; Kořenář, Václav (referee)
The aim of the work is the selection of individuals or groups of employees using the methods multicriteria evaluation of alternatives. First outline the issue of human resources and focusing specifically on the acquisition, selection and recruitment of employees. Then we move on the theory of decision making, testing of non-dominated solution and calculation of the Saaty's weights. We will describe in detail the methods: ORESTE, WSA, TOPSIS, ELECTRE I, ELECTRE III and Cook-Seiford method for the selection of the expert team. In other parts of the work of the above findings apply to a particular fictional example, carry out a comparison of the methods for the multicriteria evaluation of the alternatives and choose group of 10 candidates, to which we will use the group expert choice for group selection. At the conclusion we summarize the work and we determine the winning candidate or the winning group.
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The Antisocial Punishment Evolution
Schejbal, Martin ; Hudík, Marek (advisor) ; Mirvald, Michal (referee)
This work statistically analyses hypotheses about the presence of antisocial punishment in study of economic experiments. Analysed data source is author's own ABM simulation of antisocial punishment environment. Tested hypotheses and ABM simulations are evolutionary oriented. This represents natural selection of evolving agents (and their groups) interacting with one another. Work is divided by two independent parts of presumptions. Crucial hypothesis of the first part is evolutional advantage from retaliatory punishment, the second part tests hypotheses of evolutional benefits resulting from group selection. Findings of the analysis allow us to accept these crucial hypothesis, and it may be concluded, that antisocial punishment can be regard as an evolutionary advantage, which directly advantages individuals, as well as whole groups.
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