This book's core argument is that an artificial intelligence that could equal or exceed human intelligence is for mathematical reasons impossible. In supporting their claim, the authors marshal evidence from mathematics, physics, computer science, philosophy, linguistics, biology, and anthropology.
This book's core argument is that an artificial intelligence that could equal or exceed human intelligence is for mathematical reasons impossible. In supporting their claim, the authors marshal evidence from mathematics, physics, computer science, philosophy, linguistics, biology, and anthropology.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Jobst Landgrebe is a scientist and entrepreneur with a background in philosophy, mathematics, neuroscience, medicine, and biochemistry. Landgrebe is also the founder of Cognotekt, a German AI company which has since 2013 provided working systems used by companies in areas such as insurance claims management, real estate management, and medical billing. After more than 15 years in the AI industry he has developed an exceptional understanding of the limits and potential of AI in the future. Barry Smith is one of the most widely cited contemporary philosophers. He has made influential contributions to the foundations of ontology and data science, especially in the biomedical domain. Most recently, his work has led to the creation of an international standard in the ontology field (ISO/IEC 21838), which is the first example of a piece of philosophy that has been subjected to the ISO standardization process.
Inhaltsangabe
1. Introduction Part I: Properties of the human mind 2. The human mind 3. Human and machine intelligence 4. The nature of human language 5. The variance and complexity of human language 6. Social and ethical behaviour Part II: The limits of mathematical models 7. Foundations: The status of physics 8. Complex systems 9. Mathematical models of complex systems Part III: The limits and potential of AI 10. Why there will be no machine intelligence 11. Why machines will not master human language 12. Why machines will not master social interaction 13. Transhumanism, simulation and Uploading 14. AI spring eternal
1. Introduction Part I: Properties of the human mind 2. The human mind 3. Human and machine intelligence 4. The nature of human language 5. The variance and complexity of human language 6. Social and ethical behaviour Part II: The limits of mathematical models 7. Foundations: The status of physics 8. Complex systems 9. Mathematical models of complex systems Part III: The limits and potential of AI 10. Why there will be no machine intelligence 11. Why machines will not master human language 12. Why machines will not master social interaction 13. Transhumanism, simulation and Uploading 14. AI spring eternal
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