Artificial Intelligence with Uncertainty, Second Edition

✍ Scribed by Du, Yi; Li, Deyi

• Publisher: CRC Press
• Year: 2016
• Tongue: English
• Leaves: 311
• Edition: 2nd ed
• Category: Library

✦ Synopsis

This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI. It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language – the carrier of knowledge and intelligence, and introduce efficient physical methods for data mining amd control. In this new edition, we have more in-depth description of the models and methods, of which the mathematical properties are proved strictly which make these theories and methods more complete. The authors also highlight their latest research results.

✦ Table of Contents

Content: Cover
Half Title
Title Page
Copyright Page
Table of Contents
Preface to the Second Edition
Postscript to the Second Edition
Introduction
Preface to the First Edition
Authors
Research Foundation Support
National Natural Science Foundation of China National Basic Research Program of China (973 Program) Related National Patents in This Book
Chapter 1: Artificial Intelligence Challenged by Uncertainty
1.1 The Uncertainty of Human Intelligence
1.1.1 The Charm of Uncertainty
1.1.2 The World of Entropy 1.2 Sixty Years of Artificial Intelligence Development 1.2.1 The Dartmouth Symposium
1.2.1.1 Collision between Different Disciplines
1.2.1.2 Ups and Downs in Development
1.2.2 Goals Evolve over Time
1.2.2.1 Turing Test
1.2.2.2 Proving Theorems by Machine 1.2.2.3 Rivalry between Kasparov and Deep Blue 1.2.2.4 Thinking Machine
1.2.2.5 Artificial Life
1.2.3 Significant Achievements in AI over the Past 60 Years
1.3 Research Methods for AI
1.3.1 Symbolism
1.3.2 Connectionism
1.3.3 Behaviorism 1.4 Interdisciplinary Trends in AI 1.4.1 Brain Science and AI
1.4.2 Cognitive Science and AI
1.4.3 Network Science and AI
1.4.4 Great Breakthroughs to Be Achieved by Interdisciplinary Research
References