“A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm.
Decision trees are commonly used in operations research, specifically in decision analysis, to help identify a strategy most likely to reach a goal, but are also a popular tool in machine learning.” – Wikipedia (Scott Page)
“A decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.” (related: expected value) – Gabriel Weinberg
Source:
Scott Page Model Thinking MOOC Course
https://www.youtube.com/watch?v=H8n7SRF_3SI&index=22&list=PLfeNPtL-aoavLTWo_UMtQgneBpnmyyqH-
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Gabriel Weinberg’s Mental Models I Find Repeatedly Useful
https://medium.com/@yegg/mental-models-i-find-repeatedly-useful-936f1cc405d
