Artificial Intelligence Fall 2007

Office Hours
Dave Hollinger hollingd@cs.rpi.edu Mon 6-8PM, Wed 1-3PM Amos Eaton 107	Stephen Nerbetski nerbes@rpi.edu Tue, Thu 2-4PM Amos Eaton 217	Kevin Barlett barlek@rpi.edu Mon 4-5, Thu 11-12 Amos Eaton 217

A description of the term project is available here

10/27: Group play is over. Player profiles are now available.
Group winners are:
Group A: cooper2
Group B: fyffem
Group C: donnep
Group D: lindsr
Group E: littlp
Group F: kongj
Group G: leep3
Group H: fischc

10/28: Quarter finals have completed (on 8x8 board)!

Results are here. Congrats to:
donnep
littlp
fyffem
cooper2

Semi-finals (to be played in class 10/29):
donnep vs. littlp
fyffem vs. cooper2

Finals (to be played in class 11/1):
donnep vs. fyffem vs.

HW	Due Date	Assignment	FAQ
1	9/18 by 11:59PM	Scheme Procedures	HW1 FAQ
2	10/3 11:59PM	A* 8 Puzzle Heuristic Study	HW2 FAQ
3	10/17 11:59PM	Reversi Agent (Tournament!)	HW3 FAQ
4	11/7 11:59PM	Prolog Pegs Game	HW4 FAQ
5	11/15 23:59	Term Project Proposal
6	12/5 11:59 PM	Perceptron Learning Algorithm

Topic	Adobe PDF	Links
Course Introduction	Intro.pdf
Intro to Scheme	scheme1.pdf	Scheme Exercises
More Scheme	scheme2.pdf
Chapter 2 - Agents	Chapter2.pdf
More Scheme	scheme3.pdf	Tail recursion demo code equiv. predicates demo code let, letrec and let* demo code
Blind Search	blindsearch.pdf	Breadth First Search Code BFS Code with path Depth First Search Code DFS Code with path
Heuristic Search	heuristicsearch.pdf
More Search Issues	moresearch.pdf
Constraint Satisfaction	csp.pdf
Games - Adversarial Search	games.pdf	The game of MINMAX
Games with Chance	chance.pdf
Quick intro to Propositional Logic	propintro.pdf
Wumpus World	wumpus.pdf	WikiPedia Wumpus Info Hunt the Wumpus game another game
Propositional Logic	prop.pdf
More Propositional Logic	moreprop.pdf
Predicate Logic	predlogic.pdf
Basic Probability Concepts.	probability.pdf
More Probability	moreprob.pdf
Prolog	prolog.pdf	SWI Prolog Learn Prolog Now (a tutorial) Another Tutorial
Bayesian Networks	bayesian.pdf
Probabilistic Reasoning Over Time	time.pdf	A description of HMMs and use in Speech Recognition
Knowledge Representation	knowledge.pdf
Learning and Decision Trees	dt.pdf
Neural Networks	nn.pdf
Statisical Learning	statlearn.pdf
Reinforcement Learning	reinforcement.pdf
Utility Theory	utility.pdf

AI Fall 2007

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