Decrease Entropy (Was: Alain Colmerauer Prolog Systems Price (Was: The Heat Death of Prolog)

So how can we decrease entropy in Prolog
systems design. Here some examples:
- Janus nonsense:
   Nobody cares about features terms, just
   use member(x-V, [x-10,y-20]) (*), nobody needs
   a copying foreign function interface.
- ProB nonsense:
   Papers like "Making ProB compatible with
   SWI-Prolog" rater point to problems, than
   to problem solution pairs.
(*) Ok, that was sarcasm with a grain of
salt. But its folk knowledge that for for
small size dicts linear search is indeed
on par with binary search.
Mild Shock schrieb:

Hi,
 The price that nobody needs:
 - Alain Colmerauer Prolog Heritage Prize
   recent practical accomplishments that
   highlight the benefits of Prolog-inspired
   computing for the future
    - Theresa Swift and Carl Andersen
     Janus nonsense
    - Michael Leuschel and STUPS Group
     ProB nonsense
 https://logicprogramming.org/alain-colmerauer-prize/
 The price that everybody wants:
 - Alain Colmerauer Prolog Systems Price
   For contributions of lasting and major
   technical importance to Prolog Systems
   design.
    - Mats Carlsson: SICstus Prolog
   https://www.ri.se/en/person/mats-carlsson
    - Jan Wielemaker: SWI Prolog
   https://en.wikipedia.org/wiki/Jan_Wielemaker
    - Ulrich Neumerkel: ISO Standard
   https://informatics.tuwien.ac.at/people/ulrich-neumerkel
    - Markus Triska: CLP Integration
   https://www.metalevel.at/
    - Taisuke Sato: Tabulated Resolution
   https://rjida.meijo-u.ac.jp/sato-www/sato/
    Etc.. Etc..
 Bye
 Mild Shock schrieb:

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