Fuzzy cognitive modeling of agricultural land productivity in the context of food security

The article deals with the problems of fuzzy cognitive modeling and evaluation of the productivity of reclaimed soils, taking into account the combination of natural-climatic, soil and environmental factors. To construct a fuzzy model, the parameters to be modeled were the coefficient of bioclimatic productivity with a range of variation of 0.5-1.5, and the yield of grain crops, which varied within 10…45 dt/ha for different natural and climatic zones. The theoretical basis for the development of a model of land productivity is the theory of fuzzy inference based on the fuzzy-multiple approach. The main stages of fuzzy modeling using the Mamdani algorithm in interactive mode are presented. An algorithmic representation of the dependence of the integral indicator of the productivity of agricultural land on the value of the yield of grain crops, and the coefficient of bioclimatic productivity is obtained. The constructed fuzzy model allows to obtain estimates of the generalized indicator of agricultural land productivity based on the yield values for the range of values of the bioclimatic coefficient. The constructed model can be used as a part of a system for predicting the level of food security.

Modeling managerial search behavior based on Simon’s concept of satisficing

Computational models of managerial search often build on backward-looking search based on hill-climbing algorithms. Regardless of its prevalence, there is some evidence that this family of algorithms does not universally represent managers’ search behavior. Against this background, the paper proposes an alternative algorithm that captures key elements of Simon’s concept of satisficing which received considerable support in behavioral experiments. The paper contrasts the satisficing-based algorithm to two variants of hill-climbing search in an agent-based model of a simple decision-making organization. The model builds on the framework of NK fitness landscapes which allows controlling for the complexity of the decision problem to be solved. The results suggest that the model’s behavior may remarkably differ depending on whether satisficing or hill-climbing serves as an algorithmic representation for decision-makers’ search. Moreover, with the satisficing algorithm, results indicate oscillating aspiration levels, even to the negative, and intense—and potentially destabilizing—search activities when intra-organizational complexity increases. Findings may shed some new light on prior computational models of decision-making in organizations and point to avenues for future research.

Circumstances and technology of implementation of the model of metadisciplinary methodical system on the problems of maintenance of language culture in public educational institutions

This article describes the model of metadisciplinary methodical system on the problems of maintenance of language culture, include speech culture, reading culture, and culture of communication on the Russian language. Such model serves as the foundation for reorganization of education for the purpose of increasing language culture of the students based in the use of metadisciplinary methodical system that allows translating the necessary content not as a set of information for memorization, but as a set of knowledge for sensible usage. The author underlines the need for creating a model based on the principle that reflect the mechanisms of maintenance of language culture of students at the stage of public education, as well as describes the technology and conditions for implementation of the model. This model is development in terms of the project Joint Venture "Concord" LLC supported by the Ministry of Education of the Russian Federation. The scientific novelty consists in structural-algorithmic representation of the sequence, nature, and specificity of the model of metadisciplinary methodical system on the problems of maintenance of language culture of the students. The main conclusion consists in the observation that the creation of such model would improve the quality of public education overall, and with regards to formation of language culture of the students in particular.

Synergetic concept of a highly qualified athlete’s socioculturization (in the issue raising order)

The description and algorithmic representation of the highly qualified athlete’s synergetic concept, studying at a University of physical culture, socioculturization is presented in the article. Special attention is paid to the psychological and pedagogical foundations of an individual athlete, aspiring to individual leadership in the chosen sport value potential formation.

Adaptive physical education and health protection analysis methodology

From the standpoint of methodological analysis, an algorithmic representation of educational management effectiveness in the field of adaptive physical education and health protection is presented in the article. Special attention is paid to the innovative aspect of educational activity in the University of physical culture. It determines students’ psychophysiological attitude to personal life safety in self-knowledge coordinates.

On the computation of overorders

The computation of a maximal order of an order in a semisimple algebra over a global field is a classical well-studied problem in algorithmic number theory. In this paper, we consider the related problems of computing all minimal overorders as well as all overorders of a given order. We use techniques from algorithmic representation theory and the theory of minimal integral ring extensions to obtain efficient and practical algorithms, whose implementation is publicly available.