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Complexity Explorers Krakow - Computer Science & Philosophy
The document discusses the complex interplay between computation, consciousness, and artificial intelligence, focusing on the ideas of notable thinkers like Gödel, Turing, and Penrose. It highlights themes such as algorithmic information theory, the limits of AI, and the debate over the nature of mathematics and creativity. Additionally, it addresses the origins of complexity in the universe and the role of information physics.
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Complexity Explorers Krakow - Computer Science & Philosophy
- 1. Inspiration for the group ComplexityExplorers Kraków Marcin Stępień @marcinstepien Kraków 2018-09-26
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- 8. Work of Kurt Gödel AlanTuring John Von Neumann Claude Elwood Shannon Marvin Minsky Andriej Kołmogorow Roger Penrose Daniel C. Dennett Gregory Chaitin Seth Lloyd Scott Aaronson Max Tegmark Stephen Wolfram Paul Davies Leonard Susskind ...
- 9. Examples Artificial Intelligence ❏It takes Physics to explain why Deep Learning is so effective ❏ R. Penrose’s view on computability limits of AI ❏ Next generations of Turing Tests
- 10. Artificial Intelligence ❏ Ittakes Physics to explain why Deep Learning is so effective ❏ R. Penrose’s view on computability limits of AI ❏ Next generations of Turing Tests Computability ❏ How (not) to understand Gödel’s Incompleteness Theorems I & II ❏ What is uncomputable
- 11. Artificial Intelligence ❏ Ittakes Physics to explain why Deep Learning is so effective ❏ R. Penrose’s view on computability limits of AI ❏ Next generations of Turing Tests Computability ❏ How (not) to understand Gödel’s Incompleteness Theorems I & II ❏ What is uncomputable Algorithmic Information Theory ❏ Limited Complexity of Biology ❏ What causes the Complexity ❏ Omega number
- 12. Artificial Intelligence ❏ Ittakes Physics to explain why Deep Learning is so effective ❏ R. Penrose’s view on computability limits of AI ❏ Next generations of Turing Tests Computability ❏ How (not) to understand Gödel’s Incompleteness Theorems I & II ❏ What is uncomputable Computational Complexity ❏ Why Philosophers Should Care About Computational Complexity (S. Aronsson) Algorithmic Information Theory ❏ Limited Complexity of Biology ❏ What causes the Complexity ❏ Omega number
- 13. Algorithms & Creativity ❏Busy Beaver
- 14. Algorithms & Creativity ❏Busy Beaver Mathematical Creativity ❏ Is Mathematics mechanical or is it creative? ❏ Is Mathematics invented or discovered?
- 15. Algorithms & Creativity ❏Busy Beaver Mathematical Creativity ❏ Is Mathematics mechanical or is it creative? ❏ Is Mathematics invented or discovered? Evolution, Emergence ❏ Competence without Comprehension (D. Dennett) ❏ How Descarte’s Teleology skewed our way of thinking ❏ Emergentism ❏ Reductionism vs Holism
- 16. Algorithms & Creativity ❏Busy Beaver Mathematical Creativity ❏ Is Mathematics mechanical or is it creative? ❏ Is Mathematics invented or discovered? Evolution, Emergence ❏ Competence without Comprehension (D. Dennett) ❏ How Descarte’s Teleology skewed our way of thinking ❏ Emergentism ❏ Reductionism vs Holism
- 17. CS in Physics ❏How much Information do we need to describe the Universe? ❏ Holographic principle as an compression algorithm ❏ Computational capacity of the Universe
- 18. CS in Physics ❏How much Information do we need to describe the Universe? ❏ Holographic principle as an compression algorithm ❏ Computational capacity of the Universe Physics of Information ❏ Origins of Complexity in the Universe ❏ Is Information the foundation of Reality? ❏ Sources of information entropy ❏ Black Hole Information Paradox
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