AI AGENTS: A SYSTEMATIC REVIEW OF ARCHITECTURES, COMPONENTS, AND EVOLUTIONARY TRAJECTORIES IN AUTONOMOUS DIGITAL SYSTEMS
M. Bharti · INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY · 2025
This comprehensive article examines artificial intelligence agents' evolution and current state, analyzing their progression from simple reactive systems to sophisticated utility-based architectures.The article systematically analyzes modern AI agent frameworks, exploring the fundamental components that enable autonomous decisionmaking, including Large Language Models, Reinforcement Learning mechanisms, and Knowledge Graph implementations.