CSI 460 - Artificial Intelligence

Week #

Lecture #s

Description

Files/HW/Links

16
  • 45
  • Final Exams
  • Final Exams
15
  • 28
  • 27
  • Demos, Summaries
14
  • 26
  • 25
  • Exam 2
  • First order logic, chaining
13
  • 24
  • 23
  • Thanksgiving Break
  • Inferencing
  •  
  • Journal: What are the ethics of making thinking machines? What ethical and moral obligations do we have?
12
  • 22
  • 21
  • Maximum, Likelihood,Laplace Smoothing (count+1)/(samples+1 per category)
  • Maximum Likelihood (count/samples)
11
  • 20
  • 19
  • Advising Day Weds
  • Baye's cont
  •  
  • Journal: Discuss hill-climbing, shoulders and global maximums in context of something you did today. Choosing food at lunch, perhaps.
10
  • 18
  • 17
  • Baye's Rule and Probability
  • Markov Chains
  • Journal: Probability and chance is an important part in problem solving for real-world problems. In a game context, you can imagine this like rolling dice. In the real world, it happens when we decide how to resolve ambiguity in a context. Often this is the result of humor. How do you believe this will affect problem solving? As humans, how does risk affect our problem solving?
9
  • 16
  • 15
  • markov chain, probability
  • minimax
  • Journal: What is a reasonable future goal of AI? In 1 year? 5 years? 10 years?
8
  • 16
  • 15
  • make-up
  • strategy/minimax
7
  • 14
  • 13
  • Fall Break
  • Strategy/minimax
6
  • 12
  • 11
  • Exam, Journals Due
  • Strategy/Game-play
  • Journal: Some problems are so simple that modern AI can solve them 'better' than humans. You might think about how AI plays checkers as an example. Are these useful milestones for artificial intelligence? Do they pass the Turing Test?
5
  • 10
  • 9
  • CSPs, MRV, DH, LCV, FC, Arc-consistency
  • CSPs, hills and gradients
4
  • 8
  • 7
  • Informed Search/Local Search Begin
  • Informed Search
  • Part 1 Due
  • M&C.txt
  • Journal: Find a tech article related to AI that is current ( within the month ). Make Commentary and site your source.
3
  • 6
  • 5
  • Search Strategies, M&C problem
  • Single-state Cont
  • Journal: Single-state problems are deterministic and fully observable. If a program can solve one of these problems faster than a human, is it displaying greater intelligence? Are single-state problem solutions a measure of intelligence? Remember that many of these problems are arbitrarily difficult (in NP-complete) and perhaps relatively unsolvable by most or any human.
2
  • 4
  • 3
  • Single-state problems
  • PEAS, Agents
  • Journal: Are solving "easy" environment problems a good way to build/learn Artificial Intelligence? Comment on both sides of this question.
1
  • 2
  • 1
  • History/Pre-History, Environments
  • Syllabus and Journal: What is AI?