Complete AI Artificial Intelligence in one shot | Semester Exam | Hindi
Duration: 5 hr 45 min
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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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