Utility Theory and Decision Making in AI
AI agents maximize expected utility to achieve goals, a key concept in decision-making under uncertainty
Probabilistic reasoning is crucial for AI agents dealing with incomplete or uncertain information
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Stuart Russell and Peter Norvig's Artificial Intelligence: A Modern Approach (4th Edition) explores the development of AI systems, focusing on rational agents, machine learning, and decision-making under uncertainty. It emphasizes AI's shift from rule-based to learning systems, highlighting the ethical implications of AI control. The book is essential for understanding modern AI technologies and their societal impact.
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