601.664 Artificial Intelligence

Spring 2024

Instructor: Philipp Koehn (phi@jhu.edu)
TA: Ruizhe Huang (ruizhe@jhu.edu)
Class: Tuesdays and Thursdays, Remsen Hall 101
Office Hours: See post on Piazza
Gradescope (entry code 5JZBZW) ☆ Piazza (access code tf1w0vr0lrd) ☆ Syllabus

Readings

Required textbook: Artificial Intelligence - A Modern Approach, Russell and Norvig, 4th edition, 2020

The following books are not required but suggested, if you want to learn more about certain subjects.

Philosophy of Mind, Jaegwon Kim, 3rd edition, 2011
Cognitive Psychology, E. Bruce Goldstein, 4th edition, 2015
Consciousness and the Brain, Stanislas Dehaene, 2014
Thinking, Fast and Slow, Daniel Kahneman, 2011
Neural Machine Translation, Philipp Koehn, 2020
Deep Learning and the Game of Go, Max Pumperla and Kevin Ferguson, 2019
Generative Deep Learning, David Foster, 2nd edition, 2023

Assignments

AI in the Public Imagination, due February 9
Game Playing, due March 1
Logic and Knowledge Representation, due March 22
Uncertainty, due April 12
Deep Learning and Reinforcement Learning, due April 27

Midterm and Final Exam

The exams are closed book but you are allowed to take one sheet of paper with notes (on both sides).

Final exam takes place May 7th, 9am-12pm in Remsen Hall 1. Past exams:

Lectures

Date	Topic	Readings
Tu Jan 23	Introduction	Russel and Norvig, Chapter 1
Artificial Intelligence in Context
Th Jan 25	AI in the Public Imagination
Tu Jan 30	Philosophy of Mind	Russel and Norvig, Chapter 26.1-2; Kim
Th Feb 1	Cognitive Neuroscience	Goldstein, Chapters 2, 3, 7; Dehaene, Chapters 1-3
Tu Feb 6	Cognitive Psychology	Goldstein, Chapters 5-7, 9, 12, 13
Intelligent Agents, Heuristic Search, and Game Playing
Th Feb 8	Intelligent Agents	Russel and Norvig, Chapter 2
Tu Feb 13	Basic Search	Russel and Norvig, Chapter 3.1-3.4
Th Feb 15	Informed Search	Russel and Norvig, Chapter 3.5-3.6, 4.1
Tu Feb 20	Game Playing	Russel and Norvig, Chapter 5
Th Feb 22	Constraint Satisfaction	Russel and Norvig, Chapter 6
Logic and Knowledge Representation
Tu Feb 27	Logical Agents	Russel and Norvig, Chapter 7.1-7.5
Th Feb 29	First Order Logic	Russel and Norvig, Chapter 8
Tu Mar 5	Inference in First-Order Logic	Russel and Norvig, Chapter 9
Th Mar 7	Knowledge Representation	Video part 1, part 2, part 3 Russel and Norvig, Chapter 12
Tu Mar 12	Planning	Video part 1, part 2, Russel and Norvig, Chapter 10, 11.3
Midterm and Spring Break
Th Mar 14	Midterm
Uncertainty
Tu Mar 26	Probabilistic Reasoning	Video part 1, part 2, part 3, Russel and Norvig, Chapter 13
Th Mar 28	(no class)
Tu Apr 2	Bayesian Networks	Video part 1, part 2, part 3, Russel and Norvig, Chapter 14
Th Apr 4	Markov Decision Processes	Video part 1, part 2, part 3, Russel and Norvig, Chapter 15, 23.5
Machine Learning
Tu Apr 9	Statistical Learning	Video part 1, part 2, part 3, Russel and Norvig, Chapter 20
Th Apr 11	Deep Learning	Video part 1, part 2, part 3, part 4, Koehn, Chapter 5-6
Tu Apr 16	Reinforcement Learning	Video part 1, part 2, part 3, Russel and Norvig, Chapter 21
Th Apr 18	Deep Reinforcement Learning	Video part 1, part 2, part 3, part 4, part 5, Pumperla and Ferguson
Generative AI
Tu Apr 23	Language Models	Koehn, Chapter 7-8, 11
Th Apr 25	Vision Models	Foster