Midterm Examination 1 |
CSE 415: Introduction to Artificial Intelligence The University of Washington, Seattle, Autumn 2009 |
Date: Monday, November 16 |
Format: Part I: Multiple choice. Bring a standard answer sheet ( "scantron" form) available for purchase at the HUB branch of the U-Bookstore and other places. Part II: Written answer. |
Topics:
Turing test Python Lists and Strings: slices concatenation copying list comprehensions Functions def default values of arguments lambda local and global variables recursive functions Dictionaries ISA hierarchies Binary relations and the partial-order properties: Reflexive, Symmetry, Transitive Inferrable conclusions, Detecting redundancy State Space search State Operator Move Partial function Precondition Goal state Path Depth-First Search Breadth-First Search Uniform-Cost Search Best-First Search A* Search heuristic function admissibility of A* Iterative Deepening Depth-First Search Two-Person, Zero-sum games minimax search alpha-beta pruning static evaluation functions Tic-tac-toe Checkers Zobrist hashing Logical reasoning Propositional Calculus Well-formed formula Truth value Satisfiability (Consistency) Tautology (Validity) Contradiction (Inconsistency) Syllogism Perfect induction Modus ponens Proof by contradiction Resolution Literal Clause Obtaining clause form DeMorgan's laws Distributive laws Complementary pair Parent clauses Resolvent Predicate Calculus Well-formed formula variables, constants, and functions terms atomic formulas compound formulas quantifiers quantified formulas literals Representing situations with Pred. Calc. formulas identifying a domain structuring the domain identifying key relations functions vs predicates for expressing relationships creating constants expressing quantification Formal logical interpretations domains assignment of constant symbols to domain elements specification of functions and predicates Formal logical models and their relationship to satisfiability, tautologies, and satisfiable non-tautologies Probabilistic reasoning Bayes' rule Odds and conversion between odds and probability Odds formulation of Bayes' rule Necessity and sufficiency factors lambda and lambda prime |
Some Sample questions are available. |