CSE 571 Artificial Intelligence (CSE 571)

Ace your ASU CSE 471/571 Final Exam with these detailed, handwritten notes on Probabilistic Graphical Models.These notes provide a clear, step-by-step breakdown of one of the hardest topics in the Artificial Intelligence course: Markov Networks and Inference.What is included:Concept Clarity: Detailed comparison of Directed vs. Undirected Graphical Models (with study examples).The Math Made Simple: Step-by-step derivations for the Partition Function (Z), Clique Potentials, and Gibbs Distribution....

Planning Domain Definition Language (PDDL) strives to standardize representations of sequential decision-making problems. Using a standardized language supports successful collaboration across project teams to solve problems efficiently. The purpose of this project is to challenge students to analyze a domain file and determine how to modify it to get the AI agent to achieve the desired goal. Please refer to solutions section in the last page