Abstract
The results of research on the evolution of population behavior scenarios at the Department of Artificial Intelligence at Kharkov University are considered. The competition between different behavioral scenarios and population agents during the strategies evolution with memory is discussed. The strategies interact with each other in an iterative prisoner's dilemma, earning bonus points according to a payoff matrix. Research focuses on three collective characteristics, such as memory, level of aggressiveness (proportion of non-cooperation), and complexity of strategy (variety of behaviors). Different evolutionary scenarios arise when using different selection rules for strategies intended for removal in subsequent stages of evolution. PACS: 02.50.Le, 05.10.−a, 87.23.Kg, 89.75.Fb.
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