Rational Machines and Artificial Intelligence
eBook - ePub

Rational Machines and Artificial Intelligence

  1. 270 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Rational Machines and Artificial Intelligence

About this book

Intelligent machines are populating our social, economic and political spaces. These intelligent machines are powered by Artificial Intelligence technologies such as deep learning. They are used in decision making. One element of decision making is the issue of rationality. Regulations such as the General Data Protection Regulation (GDPR) require that decisions that are made by these intelligent machines are explainable. Rational Machines and Artificial Intelligence proposes that explainable decisions are good but the explanation must be rational to prevent these decisions from being challenged. Noted author Tshilidzi Marwala studies the concept of machine rationality and compares this to the rationality bounds prescribed by Nobel Laureate Herbert Simon and rationality bounds derived from the work of Nobel Laureates Richard Thaler and Daniel Kahneman. Rational Machines and Artificial Intelligence describes why machine rationality is flexibly bounded due to advances in technology. This effectively means that optimally designed machines are more rational than human beings. Readers will also learn whether machine rationality can be quantified and identify how this can be achieved. Furthermore, the author discusses whether machine rationality is subjective. Finally, the author examines whether a population of intelligent machines collectively make more rational decisions than individual machines. Examples in biomedical engineering, social sciences and the financial sectors are used to illustrate these concepts. - 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

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Yes, you can access Rational Machines and Artificial Intelligence by Tshilidzi Marwala in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biotechnology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Front Matter
  3. Table of Contents
  4. Copyright
  5. Preface
  6. List of Illustrations
  7. List of Tables
  8. Chapter 1 : Introduction to machine and human rationality
  9. Chapter 2 : What is machine vs human rationality?
  10. Chapter 3 : Rational machine
  11. Chapter 4 : Flexibly bounded rationality
  12. Chapter 5 : Rational expectation
  13. Chapter 6 : Rational choice
  14. Chapter 7 : Bounded rational counterfactuals
  15. Chapter 8 : Rational opportunity cost
  16. Chapter 9 : Can machines be rational?
  17. Chapter 10 : Can rationality be measured?
  18. Chapter 11 : Is machine rationality subjective?
  19. Chapter 12 : Group vs individual rationality
  20. Chapter 13 : Human vs machine rationality
  21. Chapter 14 : Rational markets
  22. Chapter 15 : Human vs machine ethics
  23. Chapter 16 : Conclusion
  24. Nomenclature
  25. Appendix A : Data
  26. Appendix B : Subjectivity vs relativity
  27. Appendix C : Algorithms
  28. Index
  29. A