Vector Logic for Testing Functions and Structures
V. Hahanov, E. Litvinova, A. Voronov
Èlektron. model. 2026, 48(5):93-113
Abstract
Vector logic computations are an efficient mechanism for in-memory intelligent computations that use read-write transactions to solve practical problems of analysis and control of physical, social, and business processes based on monitoring. For any given situation, an over-specified model of the digital structure and functionality can be constructed, which eliminates the need for computational analysis algorithms to arrive at a solution. The research aims to reduce the time and energy costs associated with managing processes and phenomena in the digital world. The means of achieving this goal is the use of vector-logical in-memory computing mechanisms, which simplify algorithms through the exponential redundancy of data structures. Functions and structures are analyzed from the perspective of algorithmic simplicity for modeling and simulation. Several mechanisms based on Cartesian logic are proposed for modeling a logical vector according to the structure of a digital circuit. The logical vector is used to generate a test map using three matrix operations. The MOSI cloud service is proposed, which models test sets and faults as truth table addresses in digital circuits and functionalities.
Keywords
computing functions and structures, vector logic functionality, vector logic, logical vector, Cartesian logic, intelligent computing, test map, fault simulation, good-value simulation, prompt engineering
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Received 11.03.2026