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Artificial Intelligence - CS607 - VU Video Lectures
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What Is Intelligence?, Intelligent Machines, Formal Definitions For Artificial Intelligence, History And Evolution Of Artificial Intelligence.
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Problem Representation, Components Of Problem Solving, Tree And Graphs Terminology, Simple Search Algorithm, Progressive Deepening, Heuristically Informed Searches, Hill Climbing, Beam Search, Best First Search, , Optimal Searches, Branch And Bound, A* Procedure, Adversarial Search , Minimax Procedure, Alpha Beta Pruning.
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Genetic Algorithms, Hill Climbing In Parallel, Comment On Evolution, Genetic Algorithm, Basic Genetic Algorithm, Solution To A Few Problems Using GA, Eight Queens Problem.
727 Views
Knowledge Representation And Reasoning, The AI Cycle, The Dilemma, Formal KR Techniques, Semantic Networks, Reasoning, Types Of Reasoning.
740 Views
Expert Systems, What Is An Expert System?, Roles Of An Expert System, How Are Expert Systems Used?, Expert System Structure, Characteristics Of Expert Systems, Inference Mechanisms, Design Of Expert Systems.
539 Views
Fuzzy Sets, Fuzzy Logic, Fuzzy Inference System.
750 Views
What Is Learning ?, What Is Machine Learning ?, Why Do We Want Machine Learning , What Are The Three Phases In Machine Learning?, Biological Aspects And Structure Of A Neuron, Single Perceptron, Linearly Separable Problems, Multiple Layers Of Perceptrons, Design Phases Of Anns.
627 Views
Definition Of Planning, Planning Vs. Problem Solving , Planning Language , The Partial-Order Planning Algorithm – POP.
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