Abstract
The problem of compressing the diversity of assessments and actions of agents by modern versions of arti-ficial intelligence is recognized as potentially very dangerous by practical managers. In previous studies, using the quasi-Fisher representation of our probabilistic model of hybrid economic systems, the authors showed that these concerns are justified at least for agents symmetrical in deviations, such as producers of goods "worse than the market", "better than the market" in terms of cost, since they correspond to the Fisher theory of evolution. How-ever, examples, in particular from agriculture, show that asymmetric situations are not exotic and need special modeling, the results of which are presented in this paper. The first simulation results show that for this obviously asymmetric situation, it is advisable to control the compression of diversity in order to achieve optimal values synchronized with the variability of the environment. Within the framework of the general concept of studying the problem - the compression of AI diversity – this means the expediency of a differentiated attitude by industry.
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