| Description |
1 online resource |
| Contents |
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Author Bio -- Introduction -- Chapter 1 Definition of Artificial Intelligence and Machine Learning -- What Are "Artificial" and "Intelligence"? -- What Are "Machine" and "Learning"? -- Artificial Intelligence and Machine Learning -- Note -- Chapter 2 Brief History of Artificial Intelligence -- Original Artificial Intelligence Using Data and Rules -- Using the Term "Artificial Intelligence" -- Note -- Chapter 3 Science and Engineering Application of Artificial Intelligence |
|
Homo sapiens' General Intelligence -- Homo sapiens' Science and Engineering Intelligence -- Problems Associated with the Science and Engineering Application of Artificial Intelligence -- Requirements of Artificial Intelligence for Science and Engineering -- Problem #1: Major Concentration on the Mathematical Equations of Machine Learning Algorithms -- Problem #2: Inclusion of Mathematical Equations of the Science- and Engineering-Related Problem in AI-based Modeling |
|
Problem #3: Using the Machine Learning Algorithms that have been Developed and Used to Solve Artificial General Intelligence-Related Problems -- Problem #4: Using Traditional Statistical Approaches since They Are Also Data-Driven -- Problem #5: Continuing the Traditional Engineering Approach to Problem-Solving but Using Machine Learning Algorithms -- Expertise in Science and Engineering -- Expertise in Artificial Intelligence -- Note -- Chapter 4 Modeling Physics Using Artificial Intelligence -- Artificial Intelligence versus Traditional Modeling in Physics |
|
How Physical Domain Expertise Must Be Used for AI-Based Modeling of Physics -- Difference of Physics-Based AI Models with Traditional Physics-Based Modeling -- Quick Development of Physics-Based AI Models Compared to Traditional Physics-Based Modeling -- Physics-Based AI Models Provide Much Better Results than Traditional Physics-Based Modeling -- Chapter 5 Artificial Intelligence versus Traditional Statistics -- Chapter 6 Ethics of Artificial Intelligence (AI-Ethics) in Science and Engineering -- Introduction of AI-Ethics -- Data is the Foundation of AI-based Modeling |
|
AI-Ethics Addresses the Bias in AI-based Modeling -- Application of AI-Ethics in Science and Engineering -- Chapter 7 Explainable Artificial Intelligence (XAI) -- Explaining Traditional Engineering Models -- Explaining Models of Physics Developed by Artificial Intelligence (XAI) -- Part 1 of XAI: Key Performance Indicators (KPIs) -- Part 2 of XAI: Sensitivity Analysis -- Part 3 of XAI: Type Curves -- History of XAI in Petroleum Engineering -- Notes -- References -- Index |
| Summary |
This book addresses the unique differences in how AI should be developed and used in science and engineering. Through inclusion of definitions and detailed examples, this book covers actual and realistic requirements as well as avoidance of certain characteristics for the correct and successful science and engineering application of AI |
| Notes |
Machine-generated record |
| Genre/Form |
Electronic books
|
| Form |
Electronic book
|
| ISBN |
9781040003954 |
|
1040003958 |
|
