AI Agents: Examining Foundational Principles
Abstract This paper provides a comprehensive overview of the burgeoning field of Artificial Intelligence Agents (AI Agents) , examining their foundational principles, diverse architectures, key enabling technologies, and the significant challenges and future directions within the domain. AI Agents, defined as autonomous entities capable of perceiving their environment, making decisions, and taking actions to achieve specific goals, represent a critical evolution in AI. 1 This paper will explore various agent paradigms, including reactive, deliberative, hybrid, and cognitive architectures, highlighting their strengths and limitations. We will also delve into the enabling roles of machine learning, natural language processing, and reinforcement learning in the development of intelligent and adaptive agents. Furthermore, the paper will address critical challenges such as agent autonomy, trustworthiness, ethical considerations, and scalability, while outlining promising future resea...