Artificial Intelligence A Modern Approach 4th Edition by Stuart Russell, Peter Norvig ISBN 9780134671932 0134671937

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Product details:
ISBN 10: 0134671937
ISBN 13: 9780134671932
Author: Stuart Russell, Peter Norvig

Artificial Intelligence A Modern Approach 4th Edition Table of contents:

Part I: Artificial Intelligence: The Basic Ideas

Chapter 1: Introduction

• What is Artificial Intelligence?
• The Foundations of AI
• The Turing Test
• The History and Future of AI

Chapter 2: Intelligent Agents

• Agents and Environments
• The Structure of Intelligent Agents
• Rationality and Problem-Solving
• Agent Types

Part II: Problem Solving

Chapter 3: Solving Problems by Searching

• Problem-Solving as Search
• Uninformed Search Strategies
• Informed Search and Heuristics
• Searching in Large Spaces

Chapter 4: Beyond Classical Search

• Constraint Satisfaction Problems (CSPs)
• Local Search Algorithms
• Adversarial Search (Minimax, Alpha-Beta Pruning)
• Game Theory

Chapter 5: Adversarial Search

• The Minimax Algorithm
• Alpha-Beta Pruning
• Optimal Play in Games
• Practical Applications

Part III: Knowledge Representation

Chapter 6: Knowledge-Based Agents

• Knowledge Representation and Reasoning
• Propositional Logic
• First-Order Logic
• Inference in First-Order Logic

Chapter 7: Logical Agents

• Knowledge Representation in Logical Form
• The Relationship Between Knowledge and Inference
• The Semantic Web and Knowledge Representation

Chapter 8: First-Order Logic

• Syntax and Semantics of First-Order Logic
• Using First-Order Logic for Knowledge Representation
• Unification and Resolution

Chapter 9: Inference in First-Order Logic

• Proving Theorems in First-Order Logic
• Forward and Backward Chaining
• Logical Reasoning in AI

Part IV: Machine Learning

Chapter 10: Machine Learning

• Introduction to Machine Learning
• Supervised Learning (Classification and Regression)
• Unsupervised Learning (Clustering, Association)
• Reinforcement Learning

Chapter 11: Knowledge Representation and Learning

• Decision Trees
• Neural Networks
• Support Vector Machines
• Ensemble Learning

Chapter 12: Reinforcement Learning

• The Reinforcement Learning Problem
• Q-learning
• Exploration vs. Exploitation
• Applications of Reinforcement Learning

Part V: Planning and Decision Making

Chapter 13: Planning

• Classical Planning
• Planning with Actions and States
• Planning Algorithms
• Plan Generation and Execution

Chapter 14: Planning and Scheduling

• The PDDL Planning Language
• Temporal and Resource-Constrained Planning
• Scheduling Algorithms

Chapter 15: Decision Making

• Decision Theory and Rational Choice
• Utility Theory
• Decision Networks

Part VI: Robotics and Perception

Chapter 16: Perception

• Sensing and Perception in AI
• Visual Perception and Computer Vision
• Auditory Perception and Speech Recognition
• Integration of Sensory Information

Chapter 17: Robotics

• Introduction to Robotics
• Robot Kinematics and Dynamics
• Localization and Mapping
• Robot Control and Motion Planning

Part VII: Natural Language Processing

Chapter 18: Natural Language Processing

• Language Understanding and Generation
• Syntax and Semantics in NLP
• Speech Recognition and Synthesis
• Natural Language Parsing

Part VIII: AI in Practice

Chapter 19: Expert Systems and Knowledge Engineering

• Expert Systems in AI
• Knowledge Acquisition and Representation
• Rule-Based Systems

Chapter 20: Philosophical Foundations of AI

• The Nature of Intelligence and Consciousness
• The Ethics of AI
• The Future of AI

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Stuart Russell,Peter Norvig,Artificial Intelligence,Modern Approach