Open Access
Article
Article ID: 2991
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by Abdullah Abdullah
Math. Syst. Sci. 2025, 3(2);   
Received: 8 August 2024; Accepted: 26 February 2025; Available online: 2 April 2025;
Issue release: 30 June 2025
Abstract Solar sail and other perturbation effects are studied on the dynamical motion of the infinitesimal body in the four interacting bodies where three bigger bodies (two out of these three bodies are oblate in shape and equal in size) are situated at the vertices of an equilateral triangle. The important dynamical properties, like the locations of equilibrium points, their stability, the periodic orbits, Poincaré surfaces of section, and the basins of attraction, are illustrated with the evaluated equations of motion in unperturbed and perturbed cases. This investigation will be helpful to the space agencies worldwide.
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Open Access
Brief Report
Article ID: 3089
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by Jomart Aliev, Andrey Shcherbakov
Math. Syst. Sci. 2025, 3(2);   
Received: 20 November 2024; Accepted: 13 January 2025; Available online: 1 April 2025;
Issue release: 30 June 2025
Abstract

The article deals with the problem of ternary logic, in which, except for the states “yes” and “no” (inherent in the traditional binary logic), is introduced the “third state” U—“Unknown”, and also addresses the issues of technical and mathematical problems that arise in this case. To do this, the ternary logic of Stephen Kleene has been corrected, and the implementation of ternary calculations using probabilistic polynomials over the field of real numbers has been proposed. The authors analyze the process of the addition of the “third state” to binary logic, in that regard the approach of Stephen Kleene, who introduced an “indefinite state”. But the authors judge it necessary to introduce also the negation of the “indefinite state” and suggest a way to replace logical functions with probabilistic polynomials based on the field of real numbers, which are conveniently calculated on modern hardware, for example, in video card processors. Terms of the ternary logic can be useful for the implementation of new artificial intelligence projects that model the operation of thinking with uncertain results, while the transition to probabilistic functions can expand the capabilities of such models and simplify the analysis of errors that occur during the operation of artificial intelligence systems.

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