UA Resources during COVID-19 Response

• UA Student Resources [pdf]

Submissions

• Assignment Submission Instructions

Python

• Installing Python

Course Textbooks

• Stuart Russell and Peter Norvig (2020). Artificial Intelligence: A Modern Approach (4th Edition). Pearson.
  http://aima.cs.berkeley.edu/: a very good resource for online AI material, including extensive code repository.
• Richard S. Sutton and Andrew G. Barto (1998). Reinforcement Learning: An Introduction. The MIT Press
  This book is available free from the author's website:
  http://incompleteideas.net/book/the-book-2nd.html

• For those without strong algorithms background, recommend working through the following Khan Academy unit on algorithms:
  Khan Academy: Algorithms
• P vs. NP and the Computational Complexity Zoo. Very nice quick video by Hakerdashery

Recent(ish) News

• For artificial intelligence to thrive, it must explain itself. If it cannot, who will trust it?
• World's largest hedge fund to replace managers with artificial intelligence

Foundations and History

• Alan Turing: Can Digital Computers Think?
  Rerecorded (by James Grime, aka singingbanana) BBC lecture originally by Alan Turing.
• John McCarthy: What is AI?
  John McCarthy's FAQ essay on what AI is.
• The Quest for Artificial Intelligence [pdf]
  Nils J. Nilsson's fantastic book on the history of AI.
• Artificial Intelligence History
  Stottler Henke online timeline of events in the history of AI.
• Historical Timeline of Mathematics and Logic

AI Ethics and Superintelligence: Beneficial, Hostile

• Computational Ethics (Trends in Cognitive Science, 2022)
• Facebook’s crisis demands a reevaluation of computer science itself [Quartz 20180331]
• AI Weekly: For the sake of us all, AI practitioners need a Hippocratic oath [venturebeat 20180323]
• New Report on Emerging AI Risks Paints a Grim Future [Gizmodo 20180221]
• Ethical Considerations in Artificial Intelligence Courses [arxiv 20170126]
• Non-technical report from the Asilomar Conference on Beneficial AI [slatestarcodex 20170206]

Agents

• Braitenberg's Vehicles

Large Scale AI Projects

• The Cyc Project
• WordNet
• Allen Institute for AI: Project Aristo

AI and Games

• Former Go chamption beaten by DeepMind retires after declaring AI invincible.
  Computer beats Go chamption
  AlphaGo - The Movie
• Oh the humanity! Poker computer trounces humans in big step for AI
  AAAI topic page on AI poker
• Pacman is NP-Hard!
• The University of Alberta GAMES Group
• GameCrafters
  UC Berkeley's undergraduate computational game theory collective.
• IBM Watson and the Jeopardy Challenge
  IBM's website for Watson, with links to videos and info about Watson

Genetic Algorithms

• boxcar2d
  Fun and informative web-based implementation of a genetic algorithm that evolves wheeled vehicles.

Logic

• Introduction to Logic
  Excellent set of online notes introducing logic, by Michael Genesereth at Stanford.
• Prover9
  Open source first-order logic theorem prover.
• TPTP: Thousands of Problems for Theorem Provers
  The TPTP Problem Library for Automated Theorem Proving.

Utilities and Rational Behavior

• Stanford Encyclopedia of Philosophy: Dutch Book Arguments
  An accessible presentation of the "Dutch Book Arguments" for the rationality of the axioms of probability.
• Radiolab: Help!
  A fun Radiolab podcast episode about the difficulties matching preferences to actual behavior!

Reinforcement Learning

• Emergence of locomotion behavior in rich environments[Youtube]
  Original paper
• Stanford Autonomous Helicopter
  Impressive demonstration of what you can do with reinforcement learning (in an apprenticeship learning framework).
• Simple Q-learning tutorial
• Demystifying Deep Reinforcement Learning (Part I) and (Part II)
• Deep Reinforcement Learning
  Schulman and Abbeel Berkeley course.
• Deep reinforcement learning doesn't work yet (Feb 14, 2018)

Fun Links

• xkcd: Complete Map of Optimal Tic-Tac-Toe Moves