Integrated Intelligentsia of Social Systems

International Journal of Research and Innovation in Social Science (IJRISS) | Volume VI, Issue IV, April 2022 | ISSN 2454–6186

Integrated Intelligentsia of Social Systems

 Syed V Ahamed, Professor Emeritus
City University of New York, College of Staten Island
Staten Island, NY 10314

Abstract: This paper integrates the roles of inspirational, acquired, and genetic intelligentsia that dominant the actions in everyday life. This unique blend of intelligence permits entities to solve, resolve, refine, and to iterate the solutions to an economically viable optimal limit. The law of diminishing returns is foreseen in the solution by the proposed social machines rather than the human perception. The paper also presents the implementation in a computer environment and extends it further in a network and communication environment, including the Internet. The clue lies in organizing and managing such rapid flow of immense flow in a mindset that is very slow in comparison. As reaffirmed in the conclusion, the approach outlined in the paper should be valuable for much of humankind and for social organizations.

Keywords: Intelligence in Nature, Evolutionary and Natural Intelligence, Genetic Intelligence, Artificial Intelligence, Network Intelligence

I. INTRODUCTION

Like knowledge, intelligence exists everywhere. Higher level of knowledge is generally indicative of higher capacity to comprehend, or intelligence, or the skill for immediate problem solving. Processing and contemplation of observed information lead to knowledge and then on to longer-term wisdom (W). However, the caliber of the particular individual plays a role in the final steps of infusing intelligence with wisdom becomes variable. In a statistical evaluation, the mean and variance of the individual caliber and education in any society can be estimated thus the Artificially Intelligent (AI based) machines provide a guide to individuals referring to such machines based on preprogrammed logic and/or expert systems. For this reason, the refined, educated, and contemplative sophisticated individual can excel well beyond the prediction and solutions of most AI machines. In unison the research addresses the question whether human beings and social machines in conjunction can far excel either one. Well designed and introduced digital systems and networks are timely now and desirable to compliment the three genres of intelligence introduced in Figure 1 depicted in Section 3.1.

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