Knowing when to use cut in prolog

TL;DR: Don’t. The cut prunes Prolog’s search tree. That is, given a pure Prolog program without cut and the same program with cuts the only difference is that the program with cuts might spend less time in fruitless branches, and thus is more efficient ; might have fewer answers ; it might also terminate whereas … Read more

Tennis match scheduling

Preface In Prolog, CLP(FD) constraints are the right choice for solving such scheduling tasks. See clpfd for more information. In this case, I suggest using the powerful global_cardinality/2 constraint to restrict the number of occurrences of each round, depending on the number of available courts. We can use iterative deepening to find the minimal number of admissible … Read more

Forward Chaining vs Backward Chaining

Backward chaining (a la Prolog) is more like finding what initial conditions form a path to your goal. At a very basic level it is a backward search from your goal to find conditions that will fulfil it. Backward chaining is used for interrogative applications (finding items that fulfil certain criteria) – one commercial example … Read more

Rearranging variable_names

avs_term_rearranged(AVs, T, AVsR) :- term_variables(T, Vs), copy_term(Vs+AVs, Vs1+AVs1), bind_names(AVs1), build_vn_list(Vs, Vs1, AVsR). bind_names([]). bind_names([N=V|AVs]) :- N = V, bind_names(AVs). build_vn_list([], [], []). build_vn_list([V|Vs],[N|Ns],NVs) :- ( atom(N) -> NVs = [N=V|NVs1] ; var(N) -> NVs = NVs1 ), build_vn_list(Vs, Ns, NVs1).

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