Causal Models
Just finished reading this book written by Steven Sloman. Very readable explanation about a causal modeling framework involving probability distributions and causal graphs, explanation of counterfactuals, logic of intervention, Markov equivalence, explanation discounting, causal structures and language, reasoning and decision making, the difference between observation and action. I became interested in causality from software troubleshooting and debugging perspective where we need to diagnose causes (defects) from symptoms (failures) and this book was a good introduction to me.
Causal Models: How People Think about the World and Its Alternatives
- Dmitry Vostokov @ LiterateScientist.com -
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