Advances in Systems Science and Applications 2022-01-08T13:15:43+00:00 Natalya Pavlova Open Journal Systems <p><strong><em>Advances in Systems Science and Applications </em></strong><strong>(<em>ASSA</em>) </strong>is an international peer-reviewed open-source online academic journal. Its&nbsp;scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome.</p> <p>ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public&nbsp;governance, finance, and many others.</p> Simulating Events in Requirements Engineering by Using Pre-conceptual-Schema-based Components from Scientific Software Domain Representation 2022-01-08T13:15:43+00:00 Paola A. Noreña C. Carlos M. Zapata J. <p>Event simulation is a process for analyzing the behavior of a natural or automated system. Such behavior is produced by events–phenomena or something that happens at any moment. Events are simulated in scientific software domains (SSD) for finding scientific results and developing scientific software, which allow making critical decisions. Usually, scientists use scientific models with simulation components for simulating events and requirements engineering (RE) models for representing SSD in a software development process. However, the separation of simulation components in scientific models and software components in RE models causes inconsistency in elements of the system domain, especially in events. Consistency is required for a near solution to the needs of the scientific stakeholders. Business analysts also use RE models and know software development processes, but they lack scientific knowledge for describing elements of a SSD. Therefore, scientists and business analysts require a computing model, which integrates common knowledge by using scientific and software components for simulating events and producing scientific software. Pre-conceptual schemas (PCS) are computing models used on RE for representing a domain, which is near to stakeholders. Several simulation components are found in PCS, i.e., events. Thus, we propose PCS components for simulating events in RE from SSD. After, we validate the PCS understand and usage in SSD. Scientists and business analysts can take advantage of the PCS for representing and simulating events and developing scientific software from the same model. Such a proposal contributes to reducing the gap between both engineering and science into scientific software development.</p> 2022-01-04T05:41:15+00:00 ##submission.copyrightStatement## The The Model of the Aggregated Consumer with Detailed Description of Consumer Financial Balance Using the Original Method of Relaxation of Complementary Slackness Conditions 2022-01-08T13:15:43+00:00 Alexei Ujegov <p>This paper is complementary to a series of researches on aggregated consumer behavior and complementary slackness conditions application in linear nonautonomous optimal control type problems with mixed conditions. The model of an aggregated consumer is proposed. Consumer maximizes utility function in consumption and labor and chooses the values of its planned variables: loans and deposits in national and foreign currency, amount of real estate, and currency. The key feature of the proposed approach is a detailed description of all financial instruments that are available to the consumer.</p> 2022-01-04T05:45:59+00:00 ##submission.copyrightStatement## The Role Government Policy and Supports Play to Stimulate Economic Growth 2022-01-08T13:15:43+00:00 Jeffrey Yi-Lin Forrest Abdou K. Jallow Chao Wen Juehui Shi Huan Guo <p>This paper studies the reason why policy tools might work, if they do, what the functional mechanism is, and why government’s policies and supports are necessary for stimulating economic growth. By employing systems thinking and methods and the logical reasoning as that commonly used in mathematics and natural science, this paper establishes 6 formal and generally true propositions on these related issues. At the conclusion, we provide a whole list of recommendations for policy makers and government officers in terms of when and how their implemented policies will lead to their desired outcomes. At the conclusion, this paper provides directions and open problems for future research.</p> 2022-01-04T05:47:56+00:00 ##submission.copyrightStatement## Choosing Directions for Investments in the Development of Companies Under Uncertainty 2022-01-08T13:15:43+00:00 Valery Akinfiev <p>The problem of choosing investment decisions of companies in the oligopoly market in conditions of uncertainty in demand for products is considered. Investment decisions include the choice of the size and ratio of funds for the implementation of projects of two types: projects to expand production and, accordingly, to increase the supply of products on the market; as well as projects aimed at reducing production costs, which only affect the profitability of production and the free cash flow of companies. We propose an approach based on the joint use of the DCF model and algorithms that describe the investment behavior of companies in the market. The model takes into account the relationship between the choice of investment decisions by companies and the dynamics of the market price. The solution of the problem is reduced to the analysis of a matrix game in which the payoff matrix is formed as a result of numerical simulation. An illustrative example of using the proposed approach is given.</p> 2022-01-04T05:49:44+00:00 ##submission.copyrightStatement## The Multidimensional Network Models Method of Developing Discrete Microfluidics 2022-01-08T13:15:43+00:00 Andrey V. Balabanov Asim M. Kasimov <p>The performances of the microfluidic units may vary within a wide range depending on the design, even if the operational geometry remains the same. In order to obtain the most effective results of the designing, it is reasonable to use the formal procedures of systematizing possible variants of the design, analyzing these variants, and selecting the best design variant based on the preset criteria. In this context, the problem of creating the effective formal methods of designing the microfluidics is topical. The main purpose of this paper is to propose a decision of this problem. To solve the problem mentioned above, the authors devised a method of analyzing and synthesizing the designs based on the multidimensional network models (MNM-method). The MNM-method provides the possibility of generating and in-computable-form-analyzing qualitatively different variants of the design on the principle of the unity of the geometrical, structural-hierarchical, and functional characteristics, as well as the possibility of selecting the best design variant on the basis of the preset criteria by means of analyzing both the structure and features of the multidimensional networks.</p> 2022-01-04T05:51:46+00:00 ##submission.copyrightStatement## Dynamics of COVID-19 Outbreak and Optimal Control Strategies: A Model-Based Analysis 2022-01-08T13:15:43+00:00 Naba Kumar Goswami B. Shanmukha <p>COVID-19 is an infectious disease caused by the SARS-CoV-2 virus, which spreads so fast in the inhabitants. The virus is transmitted through direct contact with respiratory droplets of an infected individuals through coughing and sneezing or indirect contact through contaminated objects or surface. In this article, a non-linear mathematical model is proposed and analyzed to manifest the impact of transmission dynamics of the COVID-19 pandemic based on Indian condition by considering asymptomatic and symptomatic infections. It is assumed that the transmission rates due to asymptomatic and symptomatic individuals are different. The basic reproduction number of the model is computed and studied the stability of different equilibria of the model in detail. The sensitivity analysis is presented to identify the key parameters that influence the basic reproduction number, which can be regulated to control the transmission dynamics of the disease. Also, this model is extended to the optimal control model and is analyzed by using the Pontryagin's Maximum Principal and solved numerically. It has been observed that the optimal control model gives better result as compacted to the model without optimal control model as it reduces the number of infectives significantly in a desired interval of time.</p> 2022-01-04T05:54:25+00:00 ##submission.copyrightStatement## Implementation of the Deffuant Model Within the FLAME GPU Framework 2022-01-08T13:15:43+00:00 Armen L. Beklaryan Levon A. Beklaryan Andranik S. Akopov <p>The Deffuant model is a model of opinion dynamics based on the factor of the degree of doubt of agents, called uncertainty. Despite its simplicity, the Deffuant model turned out to be technically extremely difficult to analyze, and its basic convergence properties, which are easy to observe numerically, are only empirical results. In the presented work, the agent-based Deffuant model is implemented within the FLAME GPU framework, designed to parallelize simulations of agent-based models based on GPUs. The identity of the results with the original single-thread model is demonstrated. This approach allows us to study various characteristics of the model, its development, modification of the configuration of the ensemble of agents, to conduct various analyses, in particular, cluster analysis.</p> 2022-01-04T05:57:40+00:00 ##submission.copyrightStatement## Assessment of Impact of Trade Wars on Production and Exports of the Russian Federation Using the Agent-Based Model 2022-01-08T13:15:43+00:00 Aleksandra Mashkova Albert Bakhtizin <p>In this article we consider methods of simulating consequences of trade wars using the agent-based model. The presented model simulates dynamics of trade relations between Russia, the United States, China, the European Union, and the rest of the world. We present event structure of the model which reflects interaction among different types of agents in the model: countries, organizations and residents. International trade is simulated at micro-level, as a set of supplies (purchases and sales) of organizations in different countries. Volume and structure of trade flows is changed annually, based on the algorithm that takes into account existing and newly imposed trade restrictions and the expected change in final demand. For information support of the model we use official statistical sources of the countries included in the model. Before loading these data to the model we process it to the similar sectoral structure and time period. For scenario calculations we consider optimistic and pessimistic scenarios for the world economy dynamics in the context of epidemiological risks and three possible options for world trade policy: preservation, cancellation or imposition of new trade restrictions. Simulation results for the Russian Federation show that current sanctions against it affect exports in a number of industries, but do not have a significant impact on the dynamics of value added, while imposition of new restrictions could slow down the economic growth rate by 0.3-0.5% annually.</p> 2022-01-04T05:59:29+00:00 ##submission.copyrightStatement## Optimal Schedule to Test Independent Hypotheses 2022-01-08T13:15:43+00:00 Dmitry Novikov <p>The first stage of any creative activity consists in generating a set of hypotheses and testing them. Generally, the time, required for testing a hypothesis is random and depends on its complexity (the prior probability of testing per unit time) and on acquired experience, determined by the set of hypotheses, successfully tested before. The problem is to choose an optimal schedule of testing, i.e. minimizing the sum of expected testing times, which are essentially nonlinear past-sequence-dependent and take into account learning and deterioration effects. For this aim, the general model of creative activity is formulated and the corresponding problem of optimal scheduling is stated; the classification of subproblems is introduced. Analysis of related works demonstrates the absence of methods to find computationally “simple” solution of the problem in hand. The used method of analytical proof of certain monotonic schedule optimality consists in reordering of two adjacent hypothesis, violating monotonicity. Main result is a set (for different subproblems) of sufficient conditions, under which the monotonic “simple-to-complex” schedule is optimal: the hypotheses are arranged in ascending order of their complexity.</p> 2022-01-04T06:01:49+00:00 ##submission.copyrightStatement## Equilibrium in Market Models with Known Elasticities 2022-01-08T13:15:43+00:00 Aram Arutyunov Alexander Kotyukov Natalia Pavlova <p>Closed and open market models, in which the supply and demand functions are restored by their price elasticities, are studied. For the closed market model criteria on the existence of equilibrium is obtained as the corollary of existence theorems for the solutions to systems of linear equations and inequalities. The results of the covering maps theory, namely existence theorems of a coincidence point, are applied to obtain sufficient conditions on the existence of an equilibrium in open market model and to develop search algorithm of an equilibrium in this model. Numerical experiments illustrating the obtained results are conducted.</p> 2022-01-04T06:03:32+00:00 ##submission.copyrightStatement##