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Artificial Intelligence: An Introduction to the Big Ideas and their Development (Chapman & Hall/CRC Mathematics and Artificial Intelligence Series)

✍ Scribed by Robert H. Chen, Chelsea Chen


Publisher
Chapman and Hall/CRC
Year
2024
Tongue
English
Leaves
339
Edition
2
Category
Library

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✦ Synopsis


Artificial Intelligence: An Introduction to Big Ideas and their Development, Second Editionguides readers through the history and development of artificial intelligence (AI), from its early mathematical beginnings through to the exciting possibilities of its potential future applications. To make this journey as accessible as possible, the authors build their narrative around accounts of some of the more popular and well-known demonstrations of artificial intelligence, including Deep Blue, AlphaGo and even Texas Hold’em, followed by their historical background, so that AI can be seen as a natural development of the mathematics and computer science of AI. As the book proceeds, more technical descriptions are presented at a pace that should be suitable for all levels of readers, gradually building a broad and reasonably deep understanding and appreciation for the basic mathematics, physics, and computer science that is rapidly developing artificial intelligence as it is today.

Features

  • Only mathematical prerequisite is an elementary knowledge of calculus.
  • Accessible to anyone with an interest in AI and its mathematics and computer science.
  • Suitable as a supplementary reading for a course in AI or the History of Mathematics and Computer Science in regard to artificial intelligence.

New to the Second Edition

  • Fully revised and corrected throughout to bring the material up-to-date.
  • Greater technical detail and exploration of basic mathematical concepts, while retaining the simplicity of explanation of the first edition.
  • Entirely new chapters on large language models (LLMs), ChatGPT, and quantum computing.

✦ Table of Contents


Cover
Half Title
Series Page
Title Page
Copyright Page
Table of Contents
Preface to the Second Edition
Preface to the First Edition
Prologue
About the Authors
Chapter 1 Computing Hardware
Early Computers
Notes
Chapter 2 The Integrated Circuit
Notes
Chapter 3 Software
The Minicomputer
Notes
Chapter 4 Open-Source Software
Notes
Chapter 5 Expert Systems
The Fifth Generation
Notes
Chapter 6 Inverted Decision Trees
Minimax
α–β Pruning
Progressive Deepening
Notes
Chapter 7 Deep Blue
Notes
Chapter 8 Jeopardy and Miss Debater
Miss Debater
Notes
Chapter 9 The Perceptron
Cybernetics
Penetrating the Fog of War
The Biological Neuron Nexus
Notes
Chapter 10 Parameterization
Notes
Chapter 11 Gradient Descent and Backpropagation
Backpropagation
Notes
Chapter 12 The Cross-Entropy Cost Function
Thermodynamic Entropy
Cross-Entropy Cost Function
Notes
Chapter 13 Convolutional Neural Networks
Hyperparameterization
Notes
Chapter 14 Imagenet and Model Fitting
Model Fitting
Notes
Chapter 15 Markov Chain Monte Carlo Simulation
The Atomic Bomb
Solitaire
Notes
Chapter 16 Reinforcement Learning
The Markov Decision Process
Toronto/DeepMind Video Gamer
Notes
Chapter 17 AlphaGo
AlphaGo Technology
AlphaGo Master, AlphaGoZero, and AlphaZero
Notes
Chapter 18 Game Theory
Texas Hold’em Poker
Notes
Chapter 19 Predictive Analytics
Notes
Chapter 20 Support Vector Machines
Computational Chemistry
Notes
Chapter 21 Top-Down Speech Recognition
Notes
Chapter 22 Bottom-Up Speech Recognition
What Is the Next Word in a Sentence?
Recurrent Neural Networks
Notes
Chapter 23 Speech Synthesis
Automatic Translation
Notes
Chapter 24 RBMs, GANs, and LFCF
Latent Factors in Collaborative Filtering
Generative Adversarial Networks
Notes
Chapter 25 LLMs and GPTs
Quality vs. Quantity
GPTs and Science
Notes
Chapter 26 Massive Parallel Processing and Supercomputers
Supercomputers
Notes
Chapter 27 Quantum Computing
Wave/Particle Duality
The SchrΓΆdinger Wave Equation and Dirac Brackets
SchrΓΆdinger’s Cat
Quantum Entanglement
Information Processing by Quantum Computers
Notes
Chapter 28 Industrial Robots
NYU Cancer Diagnosis
Assembly Line Quality Control
Computer Programming
Digital Assistants
Notes
Chapter 29 Autonomous Vehicles
Notes
Chapter 30 Exoplanet/Exomoon Astronomer
Exomoon Discovery
Notes
Chapter 31 Protein Folding
Inactivated Viruses
Protein Folding
Notes
Chapter 32 Intelligence
Mathematics as a Touchstone for Intelligence
Neuroscience
The Human Brain vs. ChatGPT
Notes
Chapter 33 The AI Singularity
Notes
Afterword
Appendix: The Euler–Lagrange Equation
Bibliography
Index


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