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Book Summary - Artificial Intelligence - A Modern Approach

Introduction

The most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence

The long-anticipated revision of Artificial Intelligence: A Modern Approach explores the full breadth and depth of the field of artificial intelligence (AI). The 4th Edition brings readers up to date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multiagent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI.

Table of Contents


Chapter 1 Artificial Intelligence – Defining the Field

Chapter 2 Problem-Solving – The Foundations of Rational Action

Chapter 3 Knowledge, Reasoning, and Planning – Building Knowledge Based Agents

Chapter 4 Uncertain Knowledge and Reasoning – Acting Under Uncertainty

Chapter 5 Learning – Enabling Agents to Adapt and Improve

Chapter 6 Communicating, Perceiving, and Acting – The Interface with the Real World

Chapter 7 Conclusions – The Broader Context of AI