Evolvement of artificial intelligence and hybrid methods for modeling and optimization in complex systems

¹ Kadyrov Chechen State University, Grozny, Russia
² Kabardino-Balkarian State University, Nalchik, Russia
³ Siberian Federal University, 79, Svobodny Prospect, Krasnoyarsk, 660049, Russian Federation

^* Corresponding author: v8_volga@mail.ru

Abstract

Artificial intelligence (AI) has rapidly evolved to become an integral part of our daily lives, with its absence potentially causing significant disruptions. This paper examines the current trajectory of AI development and its projected impact on society in the near future. We explore the fundamental aspects of AI technology, its applications across various sectors, and the associated challenges and opportunities. The study also investigates the integration of hybrid methods for modeling and optimization in complex systems, highlighting their synergistic relationship with AI advancements. By combining analytical and data-driven approaches, these hybrid methods enhance AI's capabilities in addressing multifaceted problems across diverse domains. Our analysis encompasses the potential societal implications of AI, including job market transformations, ethical considerations, and the need for regulatory frameworks. Through this comprehensive examination, we aim to provide insights into the possible future states of AI technology and its far-reaching effects on human society.