Causality for Artificial Intelligence From a Philosophical Perspective /
How can we teach machine learning to identify causal patterns in data? This book explores the very notion of “causality”, identifying from a naturalistic and evolutionary perspective how living systems deal with causal relationships. At the same time, using this knowledge to identify the best ways t...
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| Formaat: | Elektronisch E-boek |
| Taal: | Engels |
| Gepubliceerd in: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
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| Editie: | 1st ed. 2024. |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1007/978-981-97-3187-9 |
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Inhoudsopgave:
- Chapter 1. Ground Zone: Definitions and Concepts about Causality
- Chapter 2. Causality and Artificial Intelligence
- Chapter 3. How Causality Works in non-Human Minds
- Chapter 4. Do Humans Think Causally, and How? Chapter 5. Pitfalls and Triumphs of Causal AI
- Chapter 6. Generative AI and Causality
- Chapter 7. Counterfactual Thinking for Machines
- Chapter 8. Defining and Debating Algorithmic Causality
- Chapter 9. Open Paradoxes: Retrocausality
- Chapter 10. My Kingdom for a Causal Algorithm.