- Provides an introduction to the key questions and challenges surrounding Rational Machines, including, When do we rely on decisions made by intelligent machines? What do decisions made by intelligent machines mean? Are these decisions rational or fair? Can we quantify these decisions? and Is rationality subjective?
- Introduces for the first time the concept of rational opportunity costs and the concept of flexibly bounded rationality as a rationality of intelligent machines and the implications of these issues on the reliability of machine decisions
- Includes coverage of Rational Counterfactuals, group versus individual rationality, and rational markets
- Discusses the application of Moore’s Law and advancements in Artificial Intelligence, as well as developments in the area of data acquisition and analysis technologies and how they affect the boundaries of intelligent machine rationality
Table of Contents
1. Introduction to Machine and Human Rationality
2. What is Rationality?
3. Rational Machine
4. Flexibly-bounded rationality
5. Rational Expectation
6. Rational Choice
7. Bounded Rational Counterfactual
8. Rational Opportunity Cost
9. Can Machines be Rational?
10. Can Rationality be Measured?
11. Is machine rationality subjective?
12. Group vs. individual rationality
13. Human vs Machine Rationality
14. Rational Markets
15. Human vs Machine Ethics
B: Subjectivity vs Relativity
- No. of pages: 270
- Language: English
- Copyright: © Academic Press 2021
- Published: March 31, 2021
- Imprint: Academic Press
- eBook ISBN: 9780128209448
- Paperback ISBN: 9780128206768
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