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Partial information games are excellent examples of decision making under uncertainty.
For examples of decision scenarios, see: P. Hawken, J. Ogilvy, and P. Schwartz, Seven Tomorrows (New York: Bantam Book, 1982).
There are many examples of decision support tools used to analyse information with the intention of assisting conservation managers and policy makers in their decision making.
Examples of decision making heuristics and biases include the classical Kahneman's ones, like: Anchoring: relying too heavily on the first piece of information offered (the "anchor") when making decisions, by adjusting our choices by implicit reference to this anchor.
We could identify two good examples of decision aids in English, but not in German.
Examples of decision problems could be profitability of a hospital or resources utilization within a specific department.
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For readers interested in further examples of decision-tree structure, I shall describe in this appendix two representative situations with which I am familiar and show the trees that might be drawn to analyze management's decision-making alternatives.
The book cites examples of decision-making quandaries faced by everyone from naturalist Charles Darwin (how to choose a wife) to pop singer Katy Perry (how to handle her 82 million Twitter followers).
Now, I could probably give you some other examples of decisions over the last 24 years.
Three case examples of decisions in supply chain design in the food industry are considered.
These are examples of decisions and interactions that are now – at least in part – informed by algorithms.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com