Section 01: MWF 12:30-1:20pm VH 1416

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 comprehensive final.

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.

Homework and Programming Assignments

• There will be about 6 to 8 homework/programming assignments.
• Homework 0 Assigned: 23 August 2017, Due: 25 August 2017
• Homework 1 Assigned: 1 September 2017, Due: 13 September 2017
• Python Assignment 1 Assigned: 13 September 2017, Due: 27 September 2017

Python Files

• sept8.py (file from class September 8)
• search.py
• pitcher.py

Potentially useful links

• The Textbook web site is full of useful stuff.
• Slides for Chapter 1 of textbook.
• Slides for Chapter 2 of textbook.
• Slides for Chapter 3 of textbook.
• Slides for Chapter 3b of textbook.
• Slides for Chapter 4 of textbook.
• Slides for Chapter 6 of textbook.
• Python books:
  • Learning Python, 5th edition, by Mark Lutz, O'Reilly Media, 2013, available online from Truman IP addresses.
  • Introducing Python, by Bill Lubanovic, O'Reilly Media, 2014, available online from Truman IP addresses.
  • Other books with Python information are available as well. Go to: http://proquest.safaribooksonline.com and search for Python.
• 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
• Classical Planning slides from Jane Hsu
• More planning slides
• And even more planning slides
• Deep Learning in Neural Networks: An Overview
• 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.
• Mancala strategy ideas.
• 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
• Slides about reinforcement learning that make a good introduction
• 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.