Artificial Intelligence

About the Subject:

Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is also the name of the academic field of study which studies how to create computers and computer software that are capable of intelligent behavior.

      

Topics To Be Covered In This Seminar:

AI-Problem formulation, Problem Definition -Production systems, Control strategies, Search strategies. Problem characteristics, Production system characteristics -Specialized productions system- Problem solving methods – Problem graphs, Matching, Indexing and Heuristic functions -Hill Climbing-Depth first and Breath first, Constraints satisfaction – Related algorithms, Measure of performance and analysis of search algorithms. Game playing – Knowledge representation, Knowledge representation using Predicate logic Production based system, Frame based system. Inference – Backward chaining, Forward chaining, Rule value approach, Fuzzy reasoning – Certainty factors, Bayesian Theory-Bayesian Network-Dumpster – Shafer theory. Basic plan generation systems – Strips -Advanced plan generation systems – K strips -Strategic explanations Expert systems – Architecture of expert systems Typical expert systems – MYCIN, DART, XOON, Expert systems shells.

Time To Be Planned:

1 or 2 days

Kind Of Program:

3D based Seminar and Guest Lecture for the Students

Reason For The Program :

     Kalam Scientist Team aiming to build young generation Scientist

Sample Clips For Reference : 

 

Depth first and Breath first Algorithm

Gaming Functionality Using Tree

Cheers,

Kalam Scientist Team

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