CMSC 421 -- Spring 2003 - What we have learned and
Study Guide
1 - Some philosophy of AI (Chapter 1)
What
is Intelligence?
How
do we operationalize intelligence?
What
is the Turing test?
Is
Eliza Intelligent?
2 - Non-symbolic intelligence (Chapter
2-5)
What
do the "lower orders" do?
-
Sensing
-
Neutral Nets
What
are the limits of these approaches?
3 - Search in AI (Chapters 8-9)
What
is a heuristic
How
can we extend search (Dykstr'as alg.) with a heuristic --
A*
What
are the limits of A* (need for
admissible heuristic)
Relationship
between different heuristics
4 - Using Search (Game Playing as example (Chapter
11-12)
Mini-Max (with Alpha-Beta
pruning)
two
player zero-sum games
adding
chance and probability
non-zero
sum games (heuristics, etc.)
5 - Logic and Symbolic AI (Chapter
13-16)
Is
human memory like logic
Propositional
logic
reduction
to CNF
resolution
resolution
algorithm
limitations
of propositional logic
Predicate
(First order) Logic
representation
in FOL
reduction
to CNF (incl. skolemization)
resolution
Guest
lectures
Vision
(Chapter 6)
Natural
Language (Chapter 24)
Bayesian
Representation (Chapter 20)
Arguments
against AI
What
are they?
What
do you think?
Movies
2001:
A space Odyssey
-
HAL, and why he behaves as he does
Forbidden
Planet
-
Robby, and why he acts as he does