ENGINEERING SOCIAL COMPUTING

Abstract

Context. The relevance of the study is due to the need to eliminate contradictions between management and performers by introducing engineering social computing, which ensures moral management of social processes based on their metric
monitoring.
Objective. The goal of the investigation is to develop engineering architectures for monitoring and managing social processes based on vector logic.
Method. The research is focused on the development of engineering vector-logical schemes and architectures for management of social processes based on their comprehensive metric monitoring in order to create comfortable conditions for creative work. Definitions of the main concepts of AI development are given. Interesting fragments of the history of computing are given. The computing equation is introduced as a transitive closure in a triad of relations – in the form of an error that creates new structures, processes or phenomena. Mechanisms of intelligent computing are developed that combine
algorithms and data structures of deterministic and probabilistic AI computing. Mechanisms for constructing models based on
the universe of primitives that have Similarity in relation to their use for process modeling (in-hardware synthesis, in-software programming, in neural network training, in-qubit quantization, in-memory modeling, in-truth table logic generation) are proposed. An intelligent computing metric is introduced, which is used to select the architecture and models of computing processes in order to obtain effective solutions to practical problems.
Results. The following is proposed: 1) the computing equation as a transitive closure in a triad of relations – in the form of an error that creates new structures, processes or phenomena; 2) mechanisms of intelligent computing aimed at a significant reduction in time and energy costs in solving practical problems by zeroing out algorithms for processing big data, due to the exponential redundancy of smart and redundant AI models; 3) mechanisms for constructing models based on the universe of primitives that have Similarity in relation to their use for modeling processes.
Conclusions. Scientific novelty concludes the following innovative solutions: 1) a triad of relations based on the xoroperation for measuring processes and phenomena in the cyber-social world is proposed; 2) intelligent computing architectures are proposed for managing social processes based on their comprehensive monitoring; 3) the implementation of these schemes in the in-memory computing architecture makes it possible not to use processor instructions, only read-write transactions on logical vectors, which saves time and energy for the execution of big data analysis algorithms; 4) mechanisms for synthesizing vector-logical models of social processes or phenomena based on unitary coding of patterns on the universe of primitives are proposed, which are focused on verification, modeling and testing of decisions made. The practical significance of the study lies in the fact that the metric of intelligent computing is proposed, which is used as a method for selecting the architecture and models of computing processes to obtain effective solutions to practical problems. Engineering social computing is designed to contribute to the construction of peaceful, fair and open societies to achieve the Sustainable Development Goals (SDG 16).