Thite Shashikant Ramchandra, Dr. Daulappa G. Bhalke
Volume 6, Issue 4 2022
Page: 43-47
The implementation and design of an intelligent agent is a complex and evolving field that lies at the intersection of artificial intelligence, computer science, and cognitive science. An intelligent agent refers to a software system or entity that possesses the capability to perceive its environment, reason, plan, and execute actions to achieve specific goals effectively and autonomously. This abstract explores the key aspects involved in creating and designing an intelligent agent, highlighting the challenges, methodologies, and potential applications of such agents. The primary focus of implementing an intelligent agent lies in the development of robust and efficient algorithms that enable the agent to process vast amounts of data, extract meaningful information, and make informed decisions in real-time. These algorithms often draw inspiration from various AI paradigms such as machine learning, deep learning, reinforcement learning, and expert systems. Moreover, the design of the agent incorporates principles of cognitive modeling to mimic human-like reasoning and decision-making capabilities.
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