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Unit-II AI by naresh.kosuri6966 is a document available to read on EtoBox.

What is Unit-II AI about?

The document discusses imperfect real-time decisions in AI, highlighting the trade-off between speed and accuracy when making quick decisions with incomplete information. It outlines techniques like alpha-beta pruning and Monte Carlo tree search to improve decision-making efficiency, as well as challenges such as bias and accountability. Examples include robotics, autonomous vehicles, and financial trading, emphasizing the importance of managing uncertainty in AI systems.

Author

naresh.kosuri6966

Language

EN