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 ____________ 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    0  19
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    0  24
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    0  18
Consider a problem of preparing a schedule for a class of student. This problem is a type of a) Search Problem b) Backtrack Problem c) CSP d) Planning Problem    0  19
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. a) True b) False    0  23
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    0  21
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    0  21
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    0  19
 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    0  18
Which of the Following problems can be modeled as CSP? a) 8-Puzzle problem b) 8-Queen problem c) Map coloring problem d) Sudoku    0  19
_________________ 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)    0  22
___________ algorithm keeps track of k states rather than just one. a) Hill-Climbing search b) Local Beam search c) Stochastic hill-climbing search d) Random restart hill-climbing search    0  24
Hill-Climbing approach stuck for the following reasons a) Local maxima b) Ridges c) Plateaux d) All of above    0  16
Hill climbing sometimes called ____________ because it grabs a good neighbor state without thinking ahead about where to go next. a) Needy local search b) Heuristic local search c) Greedy local search d) Optimal local search    0  19
Stochastic hill climbing chooses at random from among the uphill moves; the probability of selection can vary with the steepness of the uphil1 move. a) True b) False    0  19
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Which agent enables the deliberation about the computational entities and actions? a) Hybrid b) Reflective c) Relational d) None of the mentioned 9
What is not represented by using propositional logic? a) Objects b) Relations c) Both a & b d) None of the mentioned 13
Which depends on the percepts and actions available to the agent? a) Agent b) Sensor c) Design problem d) None of the mentioned 10
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 18
The Task Environment of an agent consists of a) Sensors b) Actuators c) Performance Measures d) Environment 10
Satellite Image Analysis System is (Choose the one that is not applicable). a) Episodic b) Semi-Static c) Single agent d) Partially Observable 10
What can operate over the joint state space? a) Decision-making algorithm b) Learning algorithm c) Complex algorithm d) Both a & b 17
Rational agent is the one who always does the right thing. State true or false a) True b) False 10
In which of the following agent does the problem generator is present? a) Learning agent b) Observing agent c) Reflex agent d) None of the mentioned 15
What is the action of task environment in artificial intelligence? a) Problem b) Solution c) Agent 9
When do we call the states are safely explorable? a) A goal state is unreachable from any state b) A goal state is denied access c) A goal state is reachable from every state d) None of the mentioned 9
 Which search algorithm will use limited amount of memory? a) RBFS b) SMA* c) Hill-climbing search algorithm d) Both a & b 13
Agents behavior can be best described by a) Perception sequence b) Agent function c) Sensors and Actuators d) Environment in which agent is performing 20
Where does the performance measure is included? a) Rational agent b) Task environment c) Actuators d) Sensor 12
Hill climbing sometimes called ____________ because it grabs a good neighbor state without thinking ahead about where to go next. a) Needy local search b) Heuristic local search c) Greedy local search d) Optimal local search 19
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