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learningguideReading CMU 07-380 AI & ML II

Logic and the Hybrid Wumpus Agent, Logical Inference Plus A* Planning | CMU 07-380 Assignment 1

The HW1 programming assignment turns Lec2's entailment into a Pacman take on the Wumpus agent. Q1–Q2 warm up with Expr and pycosat. Q3–Q5 write the PKE percept rule, build the KB, and use two SAT calls to decide SAFE, NOT_SAFE or UNSURE. Q6–Q7 use the provided A* helpers to build an exploration agent and a three-tier hybrid agent. The starter code and local autograder are public; the Gradescope online questions are CMU-only. No solutions here.

#cmu#07-380#ai-course#logic#pacman#homework
learningguideReading Berkeley CS188 Introduction to Artificial Intelligence

Pacman from DFS and BFS to A* | Berkeley CS188 Topic Guide

Lectures 1–4 and Project 1 connect DFS, BFS, UCS, A*, state representation, and heuristic design. The goal is not memorizing algorithms but separating what the frontier, cost, and state each control.

#berkeley#cs188#search#heuristic#pacman
learningguideReading Berkeley CS188 Introduction to Artificial Intelligence

Learn AI Through Projects P0–P5 | Berkeley CS188 Course Overview

CS188 Spring 2026 publishes 28 recordings, 27 lecture slide sets, 11 discussions, and Projects P0–P5. P0 is a Python/autograder tutorial, P1–P4 use Pacman settings, and P5 contains general machine-learning tasks.

#berkeley#cs188#artificial-intelligence#pacman#open-course
learningdeep-dive

The Pacman AI Project Lineage: How Berkeley CS188 and CMU 15-281 Restructure the Same Material

CMU 15-281's Search and Games explicitly credits Berkeley's Pacman AI projects. The official course site separately lists a zero-point P0 tutorial and five programming assignments, P1–P5.

#berkeley#cmu#artificial-intelligence#pacman#course-guide