# |
DOW |
Date |
Topic |
Read Before Class
|
notes |
Homework |
Comments |
1 |
Wed |
8/29 |
Introduction |
RN1 |
|
|
|
-- |
Mon |
9/3 |
-- |
|
|
|
No class: Labor Day |
2 |
Wed |
9/5 |
Agents |
RN2 |
|
|
video: Dennet on AI |
2a |
Wed 5:30-6:30 |
9/5 |
Python 1 |
|
|
|
another Python tutorial
videos: Youtube Python tutorials
|
3 |
Mon |
9/10 |
Problem solving as search |
RN3 |
|
|
Missionaries and cannibals
Graph traversal algorithms
prolog search |
3a |
Mon 5:30-6:30 |
9/10 |
Python 2 |
|
|
|
xkcd on Python
video: Python for programmers |
4 |
Wed |
9/12 |
Uninformed and Informed search |
RN4 |
|
|
8 puzzle vizualization
PEP8: Python style guide
|
4a |
Wed 5:30-6:30 |
9/12 |
Python 3 |
|
|
|
xkcd on Python
video: Python for programmers |
5 |
Mon |
9/17 |
Informed search |
RN4 |
|
|
Search
demo
A* algorithm
8 puzzle vizualization |
6 |
Wed |
9/19 |
Informed Search
|
RN4 |
|
|
p8.py
Search
demo
Simulated annealing
8 Queens problem
Genetic algorithm
|
7 |
Mon |
9/24 |
Constraints |
RN5 |
|
|
CCC site
8 queens CSP
csp.py
CSP
demo
SLS
CSP demo
|
8 |
Wed |
9/26 |
Constraints,
Search and games |
RN5
RN6
|
|
|
python-constraints
examples
more examples |
9 |
Mon |
10/1 |
Search and games |
|
|
|
Checkers solved
U. Alberta Games Group |
10 |
Wed |
10/3 |
Search and games
Game theory
|
|
|
|
Video Games and AI
game theory
PD
demo, PD lessona
Prisoner's Dilema
|
11 |
Mon |
10/8 |
Game theory,
Logic intro for KR |
RN17.6
RN7 |
|
hw4 out |
Chicken
neats vs scruffies
Knowledge Base
Wason selection task
|
12 |
Wed |
10/10 |
Logic intro for KR |
RN7 |
|
|
nim
It, New Yorker, 1952
Hunt the Wumpus
|
13 |
Mon |
10/15 |
Propositional logic |
RN7 |
|
|
|
14 |
Wed |
10/17 |
FOL |
RN8 |
|
hw4 due |
|
15 |
Mon |
10/22 |
MIDTERM EXAM |
RN1-7, 17.6 |
|
|
|
16 |
Wed |
10/24 |
Reasoning |
RN7 |
|
|
|
17 |
Mon |
10/29 |
No Class |
|
|
|
UMBC closed due to Hurricane Sandy |
18 |
Wed |
10/31 |
Reasoning
|
RN8 |
|
|
non-monotonic logic |
19 |
Mon |
11/5 |
Reasoning, Rule-based system |
RN9 |
|
|
|
20 |
Wed |
11/7 |
Reasoning, Knowledge Representation |
RN9, RN12 |
|
5 out |
|
21 |
Mon |
11/12 |
Planning |
RN10 |
|
|
guest lecture by Prof. desJardin |
22 |
Wed |
11/14 |
Planning |
RN11 |
|
|
guest lecture by Prof. Oates
|
24 |
Mon |
11/19 |
Uncertainty |
RN13 |
|
|
|
25 |
Wed |
11/21 |
Bayesian reasoning |
RN14 |
|
|
|
26 |
Mon |
11/26 |
BBNs |
RN18 RN19 |
|
|
netica
samiam |
27 |
Wed |
11/28 |
Learning |
RN20 |
|
|
learning
to walk
Unreasonable Effectiveness of Data
|
28 |
Mon |
12/3 |
Learning |
RN20 |
|
|
|
29 |
Wed |
12/5 |
Learning |
RN21 |
|
|
|
30 |
Mon |
12/10 |
agents |
RN 21 |
|
|
anchovies, stampede, boids, CBN applets |
* |
Mon |
12/17 |
FINAL |
see
above |
see above |
|
3:30-5:30pm in class |