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
No Answer is Posted For this Question
Be the First to Post Answer
Agents behavior can be best described by a) Perception sequence b) Agent function c) Sensors and Actuators d) Environment in which agent is performing
What does the language of fopl consists of?
What can operate over the joint state space? a) Decision-making algorithm b) Learning algorithm c) Complex algorithm d) Both a & b
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
What are the characteristics of ai expert systems?
What is ai? Why do we implement ai in the robots?
How to send information from the robot sensors to the robot controllers?
A complete, local search algorithm always finds goal if one exists, an optimal algorithm always finds a global minimum/maximum. State whether True or False. a) True b) False
One of the main cons of hill-climbing search is, a) Terminates at local optimum b) Terminates at global optimum c) Does not find optimum solution d) Fail to find a solution
What is lisp?
What are some of the benefits of using a blue prism for robotics?
Which search uses only the linear space for searching? a) Best-first search b) Recursive best-first search c) Depth-first search d) None of the mentioned
AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)
AI Computer Vision (13)
AI Neural Networks (66)
AI Fuzzy Logic (31)
AI Games (8)
AI Languages (141)
AI Tools (11)
AI Machine Learning (659)
Data Science (671)
Data Mining (120)
AI Deep Learning (111)
Generative AI (153)
AI Frameworks Libraries (197)
AI Ethics Safety (100)
AI Applications (427)
AI General (197)
AI AllOther (6)