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Jordi Vallverdú, "Causality for Artificial Intelligence: From a Philosophical Perspective"
English | ISBN: 9819731860 | 2024 | 116 pages | AZW3 | 469 KB
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 to apply such biological models in machine learning scenarios.
One of the more fundamental challenges for AI experts is to design machines that can understand the world, identifying the basic rules that govern reality. Statistics are powerful and fundamental for this process, but they are only one of the necessary tools. Counterfactual thinking is the other part of the necessary process that will help machines to become intelligent. This book explains the paths that can lead to algorithmic causality.
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