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Unit - 1 Introduction
Unit 1
Introduction
1.1 Introduction to Artificial Intelligence
1.2 Foundations and History of Artificial Intelligence
1.3 State of the Art
1.4 Risks and Benefits of AI
1.5 Intelligent Agents Agents and Environments
1.6 Good Behavior Concept of Rationality Nature of Environments
1.7 Structure of Agents
1.8 Case Study Kroger How This U.S. Retail Giant Is Using AI And Robots to Prepare for the 4th Industrial Revolution
Unit - 2 Problem-Solving
Unit 2
Problemsolving
2.1 Solving Problems by Searching ProblemSolving Agents
2.2 Example Problems
2.3 Search Algorithms
2.4 Uninformed Search Strategies
2.5 Informed Heuristic Search Strategies
2.6 Heuristic Functions
2.7 Search in Complex Environments
2.8 Local Search and Optimization Problems
2.9 Case Study 4th Industrial Revolution Using AI Big Data and Robotics
Unit - 3 Adversarial Search And Games
Unit 3
Adversarial Search and Games
3.1 Game Theory
3.2 Optimal Decisions in Games
3.3 Heuristic Alpha–Beta Tree Search
3.4 Monte Carlo Tree Search
3.5 Stochastic Games
3.6 Partially Observable Games
3.7 Limitations of Game Search Algorithms
3.8 Constraint Satisfaction Problems CSP
3.9 Constraint Propagation Inference in CSPs
3.10 Backtracking Search for CSPs
3.11 Case Study Machine Learning at Google The Amazing Use Case Of Becoming A Fully Sustainable Business
Unit - 4 Knowledge
Unit 4
Knowledge
4.1 Logical Agents KnowledgeBased Agents
4.2 The Wumpus World
4.3 Logic
4.4 Propositional Logic A Very Simple Logic
4.5 Propositional Theorem Proving
4.6 Effective Propositional Model Checking
4.7 Agents Based on Propositional Logic
4.8 FirstOrder Logic
4.9 Representation Revisited
4.10 Syntax and Semantics of FirstOrder Logic Using FirstOrder Logic
4.11 Knowledge Engineering in FirstOrder Logic
4.12 Case Study BBC To Launch AI Enabled Interactive Radio Show for Amazon Echo And Google Home Chat bots
Unit - 5 Reasoning
Unit 5
Reasoning
5.1 Inference in FirstOrder Logic
5.2 Propositional vs. FirstOrder Inference
5.3 Unification
5.4 FirstOrder Inference
5.5 Forward Chaining Backward Chaining
5.6 Resolution
5.7 Knowledge Representation
5.8 Ontological Engineering
5.9 Categories and Objects
5.10 Events
5.11 Mental Objects and Modal Logic
5.12 Reasoning Systems for Categories
5.13 Reasoning with Default Information
5.14 Case Study The Amazing Ways How Wikipedia Uses Artificial Intelligence
Unit - 6 Planning
Unit 6
Planning
6.1 Automated Planning
6.2 Classical Planning
6.3 Algorithms for Classical Planning
6.4 Heuristics for Planning
6.5 Hierarchical Planning
6.6 Planning and Acting in Nondeterministic Domains Time Schedules and Resources
6.7 Analysis of Planning Approaches
6.8 Limits of AI
6.9 Ethics of AI
6.10 Future of AI
6.11 AI Components
6.12 AI Architectures
6.13 Case Study The Amazing Ways Samsung Is Using Big Data Artificial Intelligence And Robots To Drive Performance
Download CSE Third Year syllabus pdf
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Other Subjects of third-year
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