Introduction to Artificial Intelligence, 2nd Edition

Introduction to Artificial Intelligence, 2nd Edition Front Cover
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2018-02-17
356 pages

Book Description

This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (). The broad-ranging discussion covers the key subdisciplines within the field, describing practical and concrete applications in the areas of agents, logic, , reasoning under uncertainty, , neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning.

Topics and features: presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website; contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; reports on developments in deep learning, including applications of neural networks to generate creative content such as text, music and art (NEW); examines performance evaluation of clustering algorithms, and presents two practical examples explaining Bayes’ theorem and its relevance in everyday life (NEW); discusses search algorithms, analyzing the cycle check, explaining route planning for car navigation systems, and introducing Monte Carlo Tree Search (NEW); includes a section in the introduction on AI and society, discussing the implications of AI on topics such as employment and transportation (NEW).

Ideal for foundation courses or on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of to understand the material.

Table of Contents

Chapter 1 Introduction
Chapter 2 Propositional Logic
Chapter 3 First-Order Predicate Logic
Chapter 4 Limitations Of Logic
Chapter 5 Logic Programming With Prolog
Chapter 6 Search, Games And Problem Solving
Chapter 7 Reasoning With Uncertainty
Chapter 8 Machine Learning And Data Mining
Chapter 9 Neural Networks
Chapter 10 Reinforcement Learning
Chapter 11 Solutions For The Exercises

Book Details

  • Title: Introduction to Artificial Intelligence, 2nd Edition
  • Author:
  • Length: 356 pages
  • Edition: 2nd ed. 2017
  • Language: English
  • Publisher:
  • Publication Date: 2018-02-17
  • ISBN-10: 3319584863
  • ISBN-13: 9783319584867
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