1. _________________ are mathematical problems defined as a set of objects whose state must satisfy a number of constraints or limitations.
a) Constraints Satisfaction Problems
b) Uninformed Search Problems
c) Local Search Problems
d) Only a) and b)
Explanation: Refer definition of CSPs.
2. Which of the Following problems can be modeled as CSP?
a) 8-Puzzle problem
b) 8-Queen problem
c) Map coloring problem
Explanation: All of above problems involves constraints to be satisfied.
3. What among the following constitutes to the incremental formulation of CSP?
a) Path cost
b) Goal cost
c) Successor function
d) Objective function
e) Initial state
Initial state: The empty assignment ( ), in which all variables are unassigned.
Successor function: A value can be assigned to any unassigned variable, provided it does not conflict with previously assigned variables.
Goal test: The current assignment is complete.
Path cost: A constant cost (e.g., 1) for every step.
4. The term ___________ is used for a depth-first search that chooses values for one variable at a time and returns when a variable has no legal values left to assign.
a) Forward search
b) Backtrack search
c) Hill algorithm
d) Reverse-Down-Hill search
Explanation: Refer definition of backtracking algorithm.
5. To overcome the need to backtrack in constraint satisfaction problem can be eliminated by
a) Forward Searching
b) Constraint Propagation
c) Backtrack after a forward search
d) Omitting the constraints and focusing only on goals
Explanation: Forward Searching is technique in which a forward check till k steps is made to analyze that the goal can be achieved satiating all constraints. With constraint propagation, constraints on a variable can be propagated to next level/hierarchy and satisfied at that level, eliminating need to backtrack.
6. The BACKTRACKING-SEARCH algorithm in Figure 5.3 has a very simple policy for what to do when a branch of the search fails: back up to the preceding variable and try a different value for it. This is called chronological-backtracking. It is also possible to go all the way to set of variable that caused failure. State whether True or False.
Explanation: Intelligent backtracking
7. Consider a problem of preparing a schedule for a class of student. This problem is a type of
a) Search Problem
b) Backtrack Problem
d) Planning Problem
Explanation: Schedule developer needs to consider all constraints on teacher as well as students.
8. Constraint satisfaction problems on finite domains are typically solved using a form of ___________.
a) Search Algorithms
b) Heuristic Search Algorithms
c) Greedy Search Algorithms
d) DFS/BFS Search Algorithms
Explanation: Any Search techniques can be used
9. Solving a constraint satisfaction problem on a finite domain is an/a ___________ problem with respect to the domain size.
a) P complete
b) NP complete
c) NP hard
d) Domain dependent
10. ____________ is/are useful when the original formulation of a problem is altered in some way, typically because the set of constraints to consider evolves because of the environment.
a) Static CSPs
b) Dynamic CSPs
c) Flexible CSPs
d) None of the above
Explanation: Refer to the definition of Dynamic CSPs algorithm.
Sanfoundry Global Education & Learning Series – Artificial Intelligence.