By Neng-Fa Zhou, Håkan Kjellerstrand, Jonathan Fruhman
This e-book introduces a brand new logic-based multi-paradigm programming language that integrates common sense programming, sensible programming, dynamic programming with tabling, and scripting, to be used in fixing combinatorial seek difficulties, together with CP, SAT, and MIP (mixed integer programming) dependent solver modules, and a module for making plans that's carried out utilizing tabling.
The e-book turns out to be useful for undergraduate and graduate scholars, researchers, and practitioners.
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Additional resources for Constraint Solving and Planning with Picat
If only one answer is needed, then the call should be written as once append(Str1,[Sep|Str2],Str). After the call succeeds, the system deallocates the call’s frame. The use of once can lead to better efficiency, because it prevents the system from performing unnecessary backtracking. Some of Picat’s nondeterministic built-ins have deterministic counterparts. For example, while member(X,L) can succeed multiple times, membchk(X,L) can succeed at most once. If the purpose of the call is to check if a value X is a member of a list, then membchk(X,L) should be used, because it is generally more efficient than once member(X,L).
In order to facilitate the definition of extensional relations, Picat allows the inclusion of predicate facts in the form p(t1 ,. ,tn ) in predicate definitions. Facts and rules cannot co-exist in predicate definitions, and facts must be ground. A predicate definition that consists of facts must be preceded by an index declaration in the form index (M11 , M12 , . . , M1n ) . . (Mm1 , Mm2 , . . , Mmn ) where each Mij is either + (meaning indexed) or − (meaning not indexed). Facts are translated into pattern-matching rules before they are compiled.
Reification, or reasoning about constraints, is exemplified with a decomposition of all_different_except_0, as well as the Who Killed Agatha problem. A separate section describes the importance of declaring domains to be as small as possible (but not smaller). This is followed by a section about search strategies, in which the magic squares problem is used for systematically testing many search strategies. The cumulative constraint is used for scheduling furniture moving, including precedences.
Constraint Solving and Planning with Picat by Neng-Fa Zhou, Håkan Kjellerstrand, Jonathan Fruhman