Authors - Aditya D. Nandgirwar, Deepika Burte, Rashmi Malvankar, Rupali Vairagade, Shwetambari Borade, Sandeep M. Chitalkar Abstract - Another significant development in intelligent system development is the notion of Agentic Artificial Intelligence (Agentic AI): as passively generative models continue becoming acts-oriented entities capable of perceiving their environment, thinking about goals, and planning and executing more complex tasks without necessarily involving humans. Unlike the traditional artificial intelligence systems, whose main input is the fixed input, agentic AI systems respond to objectives, are adaptive in their decision-making and are able to interact with other tools, environments and fellow agents. Thus agentic systems are increasingly being used in diverse technical disciplines, including software development and cybersecurity, healthcare, finances, robotics and enterprise automation. The paper provides a thorough description of agentic AI, its theoretical basis, architectural design components, implementation plans, security issues and applications. We take a look at intelligent agent development and explain fundamental concepts in the designing of intelligent agents such as the reasoning, the strategy to plan, the management of memory, and collaboration of intelligent agents. Moreover, we examine leading agentic AI systems and platforms that facilitates development and coordination of autonomous systems.
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