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Content in this video:
00:00 Chapter0 (About this video)
02:04 Chapter1 (INTRODUCTION)
1:01:36 Chapter2 (PROBLEM SOLVING METHODS)
3:21:47 Chapter3 (KNOWLEDGE REPRESENTATION)
4:34:06 Chapter4 (SOFTWARE AGENTS)
5:08:56 Chapter5 (APPLICATIONS)

Chapter1 (INTRODUCTION): IntroductionDefinition Future of Artificial Intelligence Characteristics of Intelligent Agents Typical Intelligent Agents Problem Solving Approach to Typical Al problems.
Chapter2 (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.
Chapter3 (KNOWLEDGE REPRESENTATION): First Order Predicate Logic Prolog Programming Unification Forward Chaining Backward Chaining Resolution Knowledge Representation Ontological EngineeringCategories and Objects Events Mental Events and Mental Objects Reasoning Systems for Categories Reasoning with Default Information.
Chapter4 (SOFTWARE AGENTS): Architecture for Intelligent Agents Agent communication Negotiation and Bargaining Argumentation among Agents Trust and Reputation in Multiagent systems.
Chapter5 (APPLICATIONS): Al applications Language Models Information Retrieval Information Extraction Natural Language Processing Machine Translation Speech Recognition Robot Hardware – Perception Planning – Moving.