Section 01: MWF 9:30-10:20am: VH 1328

Office Hours

• See my schedule.

Contact Information:

• Office: Violette Hall Rm 2166
• Office Phone: x7600
• Email: agarvey@truman.edu

Online syllabus for this class.

Exams

• There will be one in class exam and a more comprehensive final exam.
• Exam One Terms and Concepts Know these for Exam One, which is Monday, 4 April 2022
• Final Exam Terms and Concepts Know these for the Final Exam, which is 9:30am Tuesday, May 3

Project

• Some potential project topics. Other topics are definitely negotiable.
• A link to an article that should explain why I don't allow Sudoku puzzle projects, but might give you ideas about related topics.
• Project Proposal assignment Assigned: 21 February 2022, Due: 2 March 2022
• AIMA Github repository (where AIMA is what the cool kids call our Russell/Norvig textbook). A possible source for code to start working with for your project.
• Progress Report 1 for your project is due by 25 March 2022
• Progress Report 2 for your project is due by 8 April 2022
• Project Final Report and Presentation report is due 22 April.
• Project Presentation Schedule:
  • Monday, April 25: DatTran/Tuttle/Robertson/Ramberg, Abdikeber/Jahjolli/Kosc/Moweni, Nay/Tibesar/Anderson/Margana
  • Wednesday, April 27: Zhang/Jerome/Nolitse/Ajilore, Johnson/Rosebrough/Seidel/Vu, Shaw/Myers/Morris/Barclay
  • Friday, April 29: Chu/ThangTran/Assefa/Mitchell, Wagner/Kessler/Ghaly/Garrity

Homework and Programming Assignments

• There will be about 6 to 8 homework/programming assignments.
• Homework 0 Assigned: 10 January 2022, Due: 14 January 2022
• Homework 1 Assigned: 21 January 2022, Due: 4 February 2022
• Python Assignment 1 Assigned: 31 January 2022, Due: 18 February 2022
• Python Assignment 2 Assigned: 2 March 2022, Due: 18 March 2022
• Homework 2 Assigned: 18 March 2022, Due: 28 March 2022
• Homework 3 Assigned: 8 April 2022, Due: 19 April 2022

Python Files

• searches.py
• rball.py

Slides for textbook chapters

• The Textbook web site is full of useful stuff.
• Slides for Chapter 1 of textbook (Introduction).
• Slides for Chapter 2 of textbook (Intelligent Agents).
• Slides for Chapter 3 of textbook (Search).
• Slides for Chapter 3b of textbook (Informed Search).
• Slides for Chapter 4 of textbook (Local Search).
• Zoom link for class from Wednesday, Feb. 2: Zoom Link
• Deep Learning Materials
• Slides for Chapter 6 of textbook (Constraint Satisfaction Problems).
• Slides for Chapter 5 of textbook (Adversarial Search aka Game Playing).
• Slides for Chapter 7 (Propositional Logic) of textbook.
• Slides for Chapter 8 (First-order Logic) of textbook.
• Slides for Chapter 9 (Inference in FOL) of textbook.
• Classical Planning slides from Jane Hsu
• Planning slides from Milos Hauskrecht
• And even more planning slides from Milos Hauskrecht
• Slides for Chapter 13 (Uncertainty) of textbook.
• Slides for Chapter 14a (Bayesian Networks) of textbook.
• Slides for Chapter 19 (Machine Learning) of textbook.
• Slides for Chapter 22 (Natural Language) of textbook.
• Slides for Chapter 15b (Speech Recognition) of textbook.

Python books:

• Learning Python 5th edition, by Mark Lutz. Please note that Truman has a single license, so we all have to share access to this book.
• Collection of Cheat Sheets for Python. Not a book, but maybe helpful.

Potentially useful links

• Neural network that generates band names from AI Weirdness, which does lots of other weird things with a simple neural network model.
• Listen to Brutal Death Metal made by a neural network. Here is a link that actually works. This research aims to eliminate humans from metal. A noble goal.
• Turing Award given to Bengio, Hinton and LeCun for work on neural networks and deep learning.
• Tiny worm neural system modeled on computer. C. elegans
• Putin: Whoever leads in AI will rule the world link from a Knowledge Day speech.
• Oren Etzioni's ideas about how to potentially regulate AI systems.
• Genetic Algorithm pages:
  • a Tutorial that still works and doesn't rely on Java Applets.
  • The tutorials below only work if you have the right version of Java running and I have no idea what the right version might be.
  • a nice tutorial with applets
  • another applet page
• Deep Learning in Neural Networks: An Overview
• NY Times article about AI in demand
• State of the field
• Searle's Chinese Room comic
• The Association for the Advancement of Artificial Intelligence (AAAI) site includes AI in the News.
• Main Python Website including:
  • Information about downloading Python
  • a tutorial with lots of detail
  • lots of other tutorials and introductions
• Mancala rules close to the rules our game will follow. Our game starts with 6 pebbles in each cup, rather than 4 as described here.
• How to Survive a Robot Uprising
• Notes on Braitenberg vehicles
• DARPA Grand Challange Final
• Robot Table Tennis player
• Robot Soccer
• Popbugs Braitenberg videos
• Neural net slides, Philosopher's connectionism slides, and nettalk.mp3 sound file.
• Ken Jennings welcoming our new computer overlords as he loses to Watson on Jeopardy.
• Difficulty of various games for computers
• Recent update to status of AI.
• New Yorker blog article about an interesting paper.
• Atlantic Monthly article about Douglas Hofstadter (author of Godel, Escher, Bach) and why he thinks most current approaches to AI are a waste of time.
• Slate article about how terrifying digital assistants are.
• Google's Go program article
• A defense of the relevance and safety of AI.
• Long paper about state of the art in AI and why it is not dangerous.
• Complete text of the book Reinforcement Learning by Sutton and Barto. Also Ng thesis is a PhD thesis with useful early chapters about reinforcement learning and MDPs.
• Brief Introduction to Reinforcement Learning
• A book about the dangers of sentient AI entities is Superintelligence by Nick Bostrom, Oxford University Press, 2014. Truman Library: Q335 B685 2014. Interesting and a little scary.