The textbook divides the field into several key paradigms that serve as natural sections for a paper or PPT: Artificial Intelligence - A Modern Approach Third Edition
– World is not deterministic or fully observable.
Decision trees, ensemble learning.
Some instructors, like those at the University of Western Ontario , provide handouts formatted with six slides per page specifically for students to print and take notes on. This can be a great way to follow along during a lecture.
Categorizes environments (e.g., deterministic vs. stochastic, static vs. dynamic). 2. Problem-Solving and Search (Chapters 3–6) artificial intelligence a modern approach third edition ppt
upon that environment through actuators to achieve goals.
: A search optimization technique that eliminates branches that cannot possibly influence the final decision. It doubles the effective search depth. The textbook divides the field into several key
Search algorithms and constraint satisfaction.
—a system that receives percepts from its environment and performs actions. Four Schools of Thought : AI is categorized into four distinct approaches: Thinking Humanly : Mimicking human cognitive processes. Thinking Rationally : Using logical laws of thought. Acting Humanly : Passing the Turing Test. Acting Rationally : Behaving "correctly" to maximize utility. Evolution of Content 20% of the material This can be a great way to follow along during a lecture