Notes:
Date |
Topic |
Supplemental Material |
Homework |
Comments |
| Wed 8/27 | Course overview What is AI? |
Ch. 1, McCarthy paper | Intro Homework out | notes |
| Wed 9/3 | Agents | Ch. 2 | Intro Homework due Lisp Homework Part 1 out |
Agents slides |
| Mon 9/8 | Agent Architectures | See references for agent architectures at end of Agents slides | End of Agents slides AI Videos |
|
| Wed 9/10 | Lisp | Lisp Ch. 1-3 (Highly Recommended) | Agents Quiz Lisp Homework Part 1 due Lisp Homework Part 2 out |
Lisp Slides Lisp debugging |
| Mon 9/15 | Search | Chapter 3 | Uninformed Search Slides | |
| Wed 9/17 | Search | Chapter 4 | Lisp Homework Part 2 due Search Homework out |
Informed Search Slides |
| Mon 9/22 | Implementing Search | Strategy Slides BFS / Graphviz example |
||
| Wed 9/24 | Population Based Optimization | Search Homework due GA Homework out |
Population Optimization Slides | |
| Mon 9/29 | Constraint satisfaction | Chapter 5 | Constraint Satisfaction | |
| Wed 10/1 | Game playing | Chapter 6, Prisoner's Dilemma | Game Playing Slides | |
| Mon 10/6 | Game playing | Chapter 6, Nash Equilibrium | Game Playing Homework out GA Homework Due (Monday 11:59pm) |
Game Playing Slides (same as above) |
| Wed 10/8 | Propositional Logic | Chapter 7 | Game Playing Quiz | Propositional Logic Slides (from Eric Eaton) |
| Mon 10/13 | First Order Logic | Chapter 8 | ||
| Wed 10/15 | Logical Inference | Chapter 9 | Homework 6 Out | Inference Slides (from Eric Eaton) |
| Mon 10/20 | Admin day / Project discussion | Logic Homework Due Logic Quiz |
||
| Wed 10/22 | Planning | Ch. 11.1-11.2, Ch. 11.3 | Game Playing Homework due (2:00am Thursday) |
Planning Slides |
| Mon 10/27 | Planning | Ch. 12.1-12.2 | Planning Slides (see above) | |
| Wed 10/29 | ST: Adam Anthony: Clustering | Adam's Slides | ||
| Fri 10/31 | Colloquium talk: Artificial General Intelligence (Speaker: Ben Goertzel) | AGI '08 | 1% extra credit for attending | |
| Mon 11/3 | ST: Blaz Bulka: State Space Planning | Planning Quiz Project Planning Questions due |
Blaz's Slides | |
| Wed 11/5 | ST: UMBC Graduate Student Research Day | Patti Ordonez Don Miner Matt Rodatus | Last day for for Extra Credit bonus (2%) | Don's Slides Patti's Slides Matt's Slides |
| Mon 11/10 | Neural Networks | Ch. 20.5, 20.7 | Special Topic Report No.1 due | Nueral Net Slides |
| Wed 11/12 | ST: Marc Pickett: Vector Symbolic Architectures ST: Kismet |
Plate paper suggested by Marc | Kismet Website (videos) | |
| Mon 11/17 | ST: Scott Elson: AI in video games | |||
| Wed 11/19 | Decision Trees, Naive Bayes, K-Nearest Neighbor | Ch. 18.3, 20.2, 2.4 (relevant subsections) wikipedia page on naive bayes |
DT, NV, KNN Slides | |
| Mon 11/24 | ST: Tim Oates: Robotics | |||
| Wed 11/26 | ST: DARPA Grand Challenge | wikipedia entry | video | |
| Mon 12/1 | Reinforcement Learning Markov Localization |
Reinforcement Learning (wikipedia) Reinforcement Learning Book Markov Localization Paper |
Reinforcement Learning and Markov Localization Slides | |
| Wed 12/3 | Review | Machine Learning I & II Quiz | Final Exam Study Guide | |
| Mon 12/8 | FINAL EXAM |
Special Topic Report No.2 due Submissions for tournament preseason due |
||
| Mon 12/15 | Project Demos | 6:00pm - 8:00pm |