INTRODUCTION OF INTELLIGENT AGENTS

Autonomous systems that can see their surroundings, make decisions, and carry out activities to accomplish particular objectives are known as intelligent agents. These agents work in dynamic and unpredictable situations by applying intelligence techniques including reasoning, machine learning, and problem solving. They are extensively used in many fields, including as autonomous cars, healthcare, robotics, and finance. The basic ideas of intelligent agents are presented in this work together with information on their types, structures, and main development obstacles. It also looks at their function in contemporary AI applications and upcoming developments in the field of intelligent agent research. An extensive introduction to intelligent agents is given in this study, which covers their kinds, structures, and traits. Important characteristics are examined to comprehend how these agents behave in diverse contexts, including autonomy, reactivity, proactiveness, and social competence. The capabilities and uses of several types of intelligent agents—such as model-based agents, simple reflex agents, learning agents learning agents and goal based agents—are examined.