- 290 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
About this book
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.
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Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- Preface to the Second Edition
- Preface to the First Edition
- Authors
- Research Foundation Support
- Chapter 1: Artificial Intelligence Challenged by Uncertainty
- Chapter 2: Cloud Model: A Cognitive Model for Qualitative and Quantitative Transformation
- Chapter 3: Gaussian Cloud Transformation
- Chapter 4: Data Fields and Topological Potential
- Chapter 5: Reasoning and Control of Qualitative Knowledge
- Chapter 6: Cognitive Physics for Swarm Intelligence
- Chapter 7: Great Development of Artificial Intelligence with Uncertainty due to Cloud Computing
- Index
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Yes, you can access Artificial Intelligence with Uncertainty by Deyi Li,Yi Du in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.