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Is anyone reading this aware of any work on logic programming in the large as in efforts that are harnessing the fact that answerset programming avoids committed choice and so enables us to write reliable tractable programs, but aims to make that possible in teams or in distributed settings?



I haven't encountered anything across answer set programming in the large as you put it. It is still pretty academic and mainly used for solving puzzle and optimization problems.


And yet declaring all business logic was once the way that all decisions would be encoded!


Looking at this from a more general perspective of the Symbolic AI approach I would say it had its days. Data driven systems are proving to be a lot more powerful and easy to build. I remember I used to spend ages trying to encode my problems in AnswerSet or AgentSpeak and come up with all the rules. It never worked!


Also work that tackles industry things like testing your logic programs?




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