Artificial intelligence (AI), is also called as machine intelligence. It is a branch of computer science which demonstrated by Artificial Intelligence machines, unlike the natural intelligence. It has capability to analyze its environment using either predetermined rules and search algorithms, or pattern recognizing machine learning models.For instance: speech recognition, problem-solving, learning and planning etc.

Approaches to AI: Turing Test and Rational Agent Approaches; State Space Representation of Problems, Heuristic Search Techniques, Game Playing, Min-Max Search, Alpha Beta Cutoff Procedures.
Knowledge Representation: Logic, Semantic Networks, Frames, Rules, Scripts, Conceptual Dependency and Ontologies; Expert Systems, Handling Uncertainty in Knowledge.
Planning: Components of a Planning System, Linear and Non Linear Planning; Goal Stack Planning, Hierarchical Planning, STRIPS, Paltial Order Planning.
Natural Language Processing: Grammar and Language; Parsing Techniques, Semantic Analysis and Prgamatics.
Multi Agent Systems: Agents and Objects; Agents and Expert Systems; Genetic Structure of Multiagent System, Semantic Web, Agent Conummication, Knowledge Sharing using
Ontologies, Agent Development Tools.
Fuzzy Sets: Notion of Fuzziness, Membership Functions, Fuzzification and Defuzzification; Operations on Fuzzy Sets, Fuzzy Functions and Linguistic Valiables; Fuzzy Relations, Fuzzy Rules and Fuzzy Inference; Fuzzy Control System and Fuzzy Rule Based Systems.
Genetic Algorithms (GA): Encoding Strategies, Genetic Operators, Fitness Functions and GA Cycle; Problem Solving using GA.
Artificiai Neural Networks (ANN): Supelvised, Unsupelvised and Reinforcement Leaming; Single Perceptron, Multi Layer Perceptron, Self Organizing Maps, Hopfield Network.


We have large number of artificial intelligence questions in mcqs form. Hence, make sure you have checked our online Artificial Intelligence Questions during precious moments before the competitive exam.Soft Computing Comprises of three parts Artificial Intelligence, Genetic Algorithm and Fuzzy sets. Here in this section you can get multiple choice based on Soft Computing.

Along with the latest Study Material AI mcqs, we also provide artificial intelligence solved previous year’s papers and online mock test. This makes the readers familiar with the exam pattern and the type of questions asked, and makes them prepare to face the exam with confidence.

On one click, you will be able to know the answers are correct or incorrect along with explanation of correct answers. Click on “ACCESS NOW” link to view and practice UGC NET CS- artificial intelligence questions which are listed under it.

What our Artificial intelligence questions  and Soft Computing section covers and who can get benefits of AI mcqs and Soft Computing MCQs- 

These Artificial Intelligence questions and Soft Computing questions can also be used by the students who are pursuing B.Sc Computer Science.

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Soft Computing Multiple Choice Questions can be used by any graduate , post graduate student studying this subject. Soft Computing mcq form the part of assessment for computer engineering students, MCA students, BCA students,B.Sc Computer Science studnents, Msc, Computer Science students and many more such courses.

Any student who is pursuing B.Sc. in Information Technology can also use this Artificial Intelligence MCQs section and Soft Computing MCQ section.

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Students who want to increase their knowledge can also practice from Soft Computing Multiple Choice Questions. You can also get free Online AI MCQs EBook  and Soft Computing Ebook from site. These Artificial Intelligence Questions Answers can be used as quiz. Various Search Terms Used For This Section Are:

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