An increase in entropy indicates greater uncertainty
in the implementers's choice of operations,
potentially reflecting a decrease of intuition.
Maximum entropy occurs when all operations are
equally likely, corresponding to a state where
the implementer acts randomly due to lack of
intuitive guidance. In this framework, we might
interpret the "heat death" of Prolog as a state
where implementers no longer have effective
intuition or insight to guide their work.
AI-driven development of Prolog systems https://lims.ac.uk/documents/undefined-10.pdf
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