Finite Choice Logic Programming: Exploring All Solutions

A deep dive into finite choice logic programming—from its Horn-clause roots to the mechanics of fact-set semantics and saturation. We unpack open versus closed rules, functional dependencies, and fixed-point semantics, and show how this approach reveals all valid solutions rather than a single answer. Through practical examples like spanning trees and constraint databases, we contrast it with Datalog and answer-set programming and discuss implementation ideas and benchmarks.

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