601.464/664 Artificial Intelligence

Spring 2020

Instructor: Philipp Koehn (phi@jhu.edu)
TA: Daniil Pakhomov (dpakhom1@jhu.edu)
Class: Tuesdays and Thursdays, Video Lectures
Gradescope ☆ Piazza ☆ Syllabus

Readings

Required textbook: Artificial Intelligence - A Modern Approach, Russell and Norvig, 3rd edition, 2009

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
Deep Learning and the Game of Go, Max Pumperla and Kevin Ferguson, 2019

Assignments

AI in the Public Imagination, due February 17
Game Playing, due March 9 -- extended to March 22
Logic and Knowledge Representation, due April 10
Deep Learning and Reinforcement Learning, due May 2

Exam

The exam is open book. The exam will take place on May 13, all day (exam posted on Piazza, to be submitted to Gradescope by midnight).

Past exams:

Lectures

Date	Topic	Readings
Tu Jan 28	Introduction	Russel and Norvig, Chapter 1
Artificial Intelligence in Context
Th Jan 30	AI in the Public Imagination
Tu Feb 4	No class
Th Feb 6	Philosophy of Mind	Russel and Norvig, Chapter 26.1-2; Kim
Tu Feb 11	Cognitive Neuroscience	Goldstein, Chapters 2, 3, 7; Dehaene, Chapters 1-3
Th Feb 13	Cognitive Psychology	Goldstein, Chapters 5-7, 9, 12, 13
Intelligent Agents, Heuristic Search, and Game Playing
Tu Feb 18	Intelligent Agents	Russel and Norvig, Chapter 2
Th Feb 20	Basic Search	Russel and Norvig, Chapter 3.1-3.4
Tu Feb 25	Informed Search	Russel and Norvig, Chapter 3.5-3.6, 4.1
Th Feb 27	Game Playing	Russel and Norvig, Chapter 5
Tu Mar 3	Constraint Satisfaction	Russel and Norvig, Chapter 6
Logic and Knowledge Representation
Th Mar 5	Logical Agents	Russel and Norvig, Chapter 7.1-7.5
Tu Mar 10	First Order Logic	Russel and Norvig, Chapter 8
Th Mar 12	Inference in First-Order Logic	Russel and Norvig, Chapter 9
Tu Mar 24	Knowledge Representation	Video part 1, part 2, part 3 Russel and Norvig, Chapter 12
Th Mar 26	Planning	Video part 1, part 2, Russel and Norvig, Chapter 10, 11.3
Uncertainty
Tu Mar 31	Probabilistic Reasoning	Video part 1, part 2, part 3, Russel and Norvig, Chapter 13
Th Apr 2	Bayesian Networks	Video part 1, part 2, part 3, Russel and Norvig, Chapter 14
Tu Apr 7	Markov Decision Processes	Video part 1, part 2, part 3, Russel and Norvig, Chapter 15, 23.5
Machine Learning
Th Apr 9	Statistical Learning	Video part 1, part 2, part 3, Russel and Norvig, Chapter 20
Tu Apr 14	Neural Networks	Video part 1, part 2, part 3, part 4, Russel and Norvig, Chapter 18.7
Th Apr 16	Reinforcement Learning	Video part 1, part 2, part 3, Russel and Norvig, Chapter 21
Tu Apr 21	Deep Reinforcement Learning	Video part 1, part 2, part 3, part 4, part 5, Pumperla and Ferguson
Natural Language
Th Apr 23	Natural Language Processing	Video part 1, part 2, part 3, part 4, part 5, part 6, Russel and Norvig, Chapter 22, 23.1-3
Tu Apr 28	Machine Translation	Video part 1, part 2, part 3, part 4, part 5, part 5, Russel and Norvig, Chapter 23.3
Th Apr 30	Review	-