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Anna University CSE
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Artificial Intelligence - CS8691
Online Study Material, Lecturing Notes, Assignment, Reference, Wiki and important questions and answers
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Anna University CSE
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UNIT I INTRODUCTION
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What is Artificial intelligence(AI)?
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Production System
UNIT II PROBLEM SOLVING METHODS
UNIT III KNOWLEDGE REPRESENTATION
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Game playing
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Iterative Deepening
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Knowledge Representation
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Predicate Calculus
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Predicate Logic
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AI Resolution: Definition and Principle
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Structured Represntation of Knowledge
UNIT IV SOFTWARE AGENTS
UNIT V APPLICATIONS
For Extra Reference
Artificial Intelligence Notes 1
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What is Artificial Intelligence?
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History of Artificial Intelligence(AI)
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Components of Artificial Intelligence(AI)
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Definition of Artificial intelligence
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Weak And Strong Artificial Intelligence(AI)
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Areas and Task Domain of Artificial Intelligence(AI)
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Artificial Intelligence(AI) Technique
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7- Problem Characteristics
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Production System: Characteristics, Features , Disadvantages
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Algorithm of Problem Solving
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Various Types of Artificial Intelligence Problems and their Solutions
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Searching Algorithms - Artificial Intelligence(AI)
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Uninformed Search
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Breadth First Search (BFS): Concept, Implementation, Advantages, Disadvantages
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Depth First Search (DFS): Concept, Implementation, Advantages, Disadvantages
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Brute Force or Blind Search(BFS)
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Greedy Search
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Informed Search (Heuristic Search)
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Best First Search: Concept, Algorithm, Implementation, Advantages, Disadvantages
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Branch and Bound Search: Concept, Algorithm, Implementation, Advantages, Disadvantages
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A* Search: Concept, Algorithm, Implementation, Advantages, Disadvantages
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AO* Search(Graph): Concept, Algorithm, Implementation, Advantages, Disadvantages
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Hill Climbing Search Algorithm: Concept, Algorithm, Advantages, Disadvantages
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Knowledge Based Systems
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Type of Knowledge
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Knowledge Acquisition Techniques
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Knowledge representation
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Properties for knowledge Representation
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Syntax and semantics for Knowledge Representation
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Types of Knowledge Representation
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Human Associative Memory (HAM)
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MIN-MAX Search Algorithm
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Constraint Satisfaction Search Algorithm
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Planning
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Basic Components of a Planning System
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Planning in State Space Search
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Various Planning Techniques
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Understanding in Artificial Intelligence
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Natural Language Processing
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Goals, Applications and Examples of Natural Language Processing(NLP)
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ELIZA, HAL, LUNAR, SHRDLU System
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The Chomsky Hierarchy of Grammars
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Transformational Grammar
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Case Grammars (FILLMORE’s Grammar)
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Semantic Grammars
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Context Free Grammar (CFG)
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Parsing Process
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Types of Parsing
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Transition Network
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Types of Transition Network
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Learning - Artificial Intelligence
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Classification of Learning
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Multi Agent Learning
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Explanation based Learning
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Genetic Algorithm
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Applications and Advantages of Genetic Algorithm
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Neural Network
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Features Of Artificial Network (ANN)
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Types of Neural Networks
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Feed Forward neural network
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Back Propagation neural network
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Clustering and Types of Clustering
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Pattern Recognition
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Expert System
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Difference Between Expert System and Conventional System
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The Development Process of an Expert System
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Characteristics of an Expert System
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Structure of an Expert System
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Rule Based Architecture of an Expert System
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Applications of Expert Sytem
Artificial Intelligence Notes 2
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Artificial Intelligence(AI) Problem Solving
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Intelligent Agent
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Uninformed Search Strategies
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Heuristics / Informed Search Strategies
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Constraint Satisfaction Problems (CSPS)
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Important Questions and Answers: Algorithm of Problem Solving
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Logical Agents
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Important Questions and Answers: Logical Agents
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Planning With State Space Search
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Partial Order Planning
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Important Questions and Answers: Artificial Intelligence Planning
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Uncertainty - Artificial Intelligence
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Important Questions and Answers: Artificial Intelligence - Uncertainty
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Learning from observation
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Inductive Learning
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Learning Decision Trees
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Explanation Based Learning
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Statistical Learning Methods
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Reinforcement Learning
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Important Questions and Answers: Artificial Intelligence Learning
Artificial Intelligence Notes 3
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What is Artificial Intelligence(AI)?
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Importance of Artificial Intelligence(AI)
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Early work in Artificial Intelligence(AI)
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Artificial Intelligence(AI) and related fields
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Search and Control Strategies
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Examples of search problems
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Uniformed or Blind search
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Informed search
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Constraint Satisfaction Search
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Heuristic Repair
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Tabu Search
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Simulated Annealing
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Real-Time A*
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Propositional and Predicate Logic
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Semantics
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Predicate Calculus
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First-Order Predicate Logic(FOPL)
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Modal Logics and Possible Worlds
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Dempster- Shafer theory
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Probabilistic Reasoning
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Definition and importance of knowledge
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Representation of knowledge
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Knowledge Organization and Manipulation
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Matching techniques
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Structures used in Matching
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Measure for Matching
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Matching like Patterns
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Partial Matching
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The RETE matching algorithm
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Knowledge Organization and Management
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Indexing and retrieval techniques
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Integrating knowledge and memory
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Natural Language Processing
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Artificial Intelligence: Grammars and Languages
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Basic parsing techniques
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Augmented Transition Networks
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Chart Parsing
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Semantic Analysis
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Expert System Architecture
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Rules for Knowledge Representation
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Rule-Based Systems
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Rule-Based Expert Systems
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Architecture of an Expert System
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Knowledge Engineering
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CLIPS (C Language Integrated Production System)
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Backward Chaining in Rule-Based Expert Systems
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CYC
Artificial Intelligence Notes 4
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What is Artificial intelligence(AI)?
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Production System
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Game playing
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Iterative Deepening
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Knowledge Representation
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Predicate Calculus
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Predicate Logic
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AI Resolution: Definition and Principle
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Structured Represntation of Knowledge
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Knowledge Representation
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Framework of Knowledge Representation (Poole 1998)
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Knowledge Representation Schemes
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Issues in Knowledge Representation
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KR Using Predicate Logic
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KR Using Rules
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Planning and Machine Learning
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Symbolic Reasoning
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Statistical Reasoning
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Probability and Bayes’ Theorem
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Certainty Factors in Rule-Based Systems
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Bayesian Networks and Certainty Factors
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Dempster - Shafer Theory (DST)
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Fuzzy Logic
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Expert System
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Expert System Characteristics
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Expert System Features
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Knowledge Acquisition
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Knowledge Base (Representing and Using Domain Knowledge)
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Inference Engine
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Expert System Shells
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Explanation - Expert System
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Application of Expert Systems
CS8691 Artificial Intelligence - Anna University 2017 Regulation Syllabus - Download Pdf
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Artificial Intelligence - Start Reading Online
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