Education and Career Forum

Artificial Intelligence as a subject demands high specialisation which can be met with the help of a disciplinary course like this. Since the whole field of artificial intelligence is related to the computers and the means of creating intelligent machines therefore it is through special knowledge and classroom teaching that one can arrive at a complete and through understanding of this subject. Some of the topics taught in this paper are basic components of Artificial intelligence solving methodology, description of such methodology in details, best first searching and its detailed explanation in A algorithm, means through which genetic algorithm come out with optimal solution, differences between hill-climbing and simulated annealing, conversion method of basic agent to learning agent, places where these applications are used, detail note on generic knowledge based agent, thorough understanding of inference rules for quantifiers, language of planning problem, partial order planning, overfitting and ways to deal with overfitting.

JNTU B.TECH IN COMPUTER SCIENCE AND-3RD YEAR ARTIFICIAL INTELLIGENCE EXAM-DOWNLOAD PREVIOUS QUESTION PAPERS