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AI Robotics Interview Questions
Questions Answers Views Company eMail

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

1 2767

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

1935

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

3713

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

2310

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

2328

 ____________ 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

1 3821

how we install a artificial intelligence software to our computer ?

1454

What is “generality” in ai ?

1009

In top-down inductive learning methods how many literals are available? What are they?

1118

Give a brief introduction to robotics?

925

What is travelling salesman problem?

942

What are applications of expert system?

965

What is prolog in ai?

1169

What are benefits of expert systems?

916

What is augmented human intelligence?

916


Post New AI Robotics Questions

Un-Answered Questions { AI Robotics }

 A problem solving approach works well for a) 8-Puzzle problem b) 8-queen problem c) Finding a optimal path from a given source to a destination d) Mars Hover (Robot Navigation)

3212


What is computer vision?

951


What is servo controlled robot?

938


What are benefits of expert systems?

916


 Which search algorithm will use limited amount of memory? a) RBFS b) SMA* c) Hill-climbing search algorithm d) Both a & b

2503


In which state spaces does the online-dfs-agent will work? a) Irreversible state spaces b) Reversible state spaces c) searchable state spaces d) All of the mentioned

1678


What does the language of fopl consists of?

907


Which process makes different logical expression looks identical?

1121


What are the axes of movement of the robot?

1034


What are actuators in the robotics?

939


How the new states are generated in genetic algorithm? a) Composition b) Mutation c) Cross-over d) Both b & c

3485


Hill-Climbing algorithm terminates when, a) Stopping criterion met b) Global Min/Max is achieved c) No neighbor has higher value d) Local Min/Max is achieved

4192


 In A* approach evaluation function is a) Heuristic function b) Path cost from start node to current node c) Path cost from start node to current node + Heuristic cost d) Average of Path cost from start node to current node and Heuristic cost

4962


What is the use of the function (copy-list ) in lisp?

958


In inductive logic programming what needed to be satisfied?

1021