Complete AI Artificial Intelligence in one shot | Semester Exam | Hindi

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Content in this video:
00:00 Chapter-0 (About this video)
02:04 Chapter-1 (INTRODUCTION)
1:01:36 Chapter-2 (PROBLEM SOLVING METHODS)
3:21:47 Chapter-3 (KNOWLEDGE REPRESENTATION)
4:34:06 Chapter-4 (SOFTWARE AGENTS)
5:08:56 Chapter-5 (APPLICATIONS)

Chapter-1 (INTRODUCTION): Introduction-Definition – Future of Artificial Intelligence – Characteristics of Intelligent Agents – Typical Intelligent Agents – Problem Solving Approach to Typical Al problems.
Chapter-2 (PROBLEM SOLVING METHODS): Problem solving Methods – Search Strategies- Uninformed – Informed – Heuristics – Local Search Algorithms and Optimization Problems – Searching with Partial Observations – Constraint Satisfaction Problems – Constraint Propagation – Backtracking Search – Game Playing – Optimal Decisions in Games – Alpha – Beta Pruning – Stochastic Games.
Chapter-3 (KNOWLEDGE REPRESENTATION): First Order Predicate Logic – Prolog Programming – Unification – Forward Chaining – Backward Chaining – Resolution – Knowledge Representation – Ontological Engineering-Categories and Objects – Events – Mental Events and Mental Objects – Reasoning Systems for Categories – Reasoning with Default Information.
Chapter-4 (SOFTWARE AGENTS): Architecture for Intelligent Agents – Agent communication – Negotiation and Bargaining – Argumentation among Agents – Trust and Reputation in Multi-agent systems.
Chapter-5 (APPLICATIONS): Al applications – Language Models – Information Retrieval – Information Extraction – Natural Language Processing – Machine Translation – Speech Recognition – Robot -Hardware – Perception – Planning – Moving.

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