• The Heat Death of Prolog

    From Mild Shock@21:1/5 to All on Thu Oct 17 11:50:19 2024
    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

    --- SoupGate-Win32 v1.05
    * Origin: fsxNet Usenet Gateway (21:1/5)
  • From Mild Shock@21:1/5 to Mild Shock on Thu Oct 17 12:15:45 2024
    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

    --- SoupGate-Win32 v1.05
    * Origin: fsxNet Usenet Gateway (21:1/5)