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Learn how Prolog's backtracking and unification allow you to solve constraint-satisfaction problems by describing the goal rather than the search algorithm.
Learn how to use the Prolog Cut operator (!) to prune search spaces, reduce memory overhead, and implement deterministic if-then-else logic in your programs.
Learn how the Prolog cut (!) prunes search space, distinguishes green from red cuts, and see a worked example that improves performance without altering logic.
Tabling in SWI‑Prolog memoizes recursive sub‑goals, turning non‑terminating graph queries into fast, terminating ones. A worked example shows how to declare a path predicate, the performance gains, and practical trade‑offs.
CLP(FD) lets you write the specification — domains, exclusions, equations — and get the solver for free. A worked SEND+MORE=MONEY example in SWI-Prolog, plus the labeling trade-off and portability caveats.
Left-recursive reachability loops under plain Prolog. Tabling (SLG resolution) fixes that with one directive — here's when it's the right call, and what it costs.
Tabling memoizes recursive Prolog subgoals so cyclic queries terminate. A decision guide to engine support, directive syntax, and the cut and side-effect trade-offs.
Learn how to use Prolog Definite Clause Grammars (DCGs) to parse arithmetic expressions, avoid the pitfalls of left-recursion, and implement semantic actions for calculation.
Learn how to use the Prolog cut operator (!) to prune search trees, optimize performance, and implement conditional logic while distinguishing between green and red cuts.
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