## Question 4 Constraint Satisfaction Problems (22.

Constraint Satisfaction Problems in Python Michael Sioutis Outline Introduction Constraints in Python Example Questions De nition A Constraint Satisfaction Problem consists of.

You can review constraint satisfaction in artificial intelligence at any time when you access this chapter to study for a test or complete your homework.

IntroductionThere are two parts to this assignmentthe implementation of two constraint propagators and a. Homework Assignment 2: Constraint Satisfaction Solution. of the functions you are to implement. In all cases, the CSP object is used to access variables and constraints of the problem, via methods found in cspbase.py.

Homework Assignment 3: Constraint. Two problems will ask you to implement two constraint propagators—a Forward Checking constraint propagator, and a Generalized Arc Consistence (GAC) con-straint propagator. Three problems will ask you to encode constraints. The final problem will ask you to encode a CSP using some of your encoded.

Please turn in Problems 1 and G of the homework using the turnin system. Problems 2 and 3 must be turned in on paper. Homework Problems: This homework consists of three (plus an additional problem for students who are taking this course for graduate credit) problems: (turnin) Problem 1: Constraint Satisfaction (50 points).

This problem also has two constraints. One constraint is that Sue must be at the meeting. The other is that at least two people must attend the meeting. A constraint-satisfaction problem solver is provided with the three variables, three domains, and two constraints, and it solves the problem without requiring that the user explain how.

Constraint Satisfaction Problems (CSPs) Russell and Norvig Chapter 5 CSP example: map coloring September 28, 2009 2 Given a map of Australia, color it using three colors such that no neighboring territories have the same color. CSP example: map coloring September 28, 2009 3 E.g. Solutions are assignments satisfying all constraints, e.g.