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pl:prolog:pllib:rbfs_algorithm [2019/06/27 15:50] (aktualna)
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 +====== Rbfs algorithm ======
 +{{tag>​searching}}
 +===== Description =====
 +A best-first search program that only requires space linear in the depth of search (RBFS algorithm).
 +
 +**Source**: ​ PROLOG programming for artificial intelligence,​ 3rd Edition, Harlow, 2001, ISBN 0-201-40375-7.
 +===== Download =====
 +Program source code: {{rbfs_algorithm.pl}}
 +===== Listing =====
 +<code prolog>
 +% Figure 12.13  A best-first search program that only requires ​
 +% space linear in the depth of search (RBFS algorithm). ​
 +
 +:- op( 900, fy, not).
 +
 +% not Goal): negation as failure; ​
 +%   Note: This is often available as a built-in predicate,
 +%   often written as prefix operator "​\+",​ e.g. \+ likes(mary,​snakes)
 +
 +not Goal  :-
 +  Goal, !, fail
 +  ; 
 +  true.
 +
 +% Linear-space best-first search; the RBFS algorithm ​
 +% The program assumes 99999 is greater than any f-value
 +
 +% bestfirst( Start, Solution): Solution is a path from Start to a goal
 +
 +bestfirst( Start, Solution) :-
 +  rbfs( [], [ (Start, 0/0/0) ], 99999, _, yes, Solution).
 +
 +% rbfs( Path, SiblingNodes,​ Bound, NewBestFF, Solved, Solution):
 +%   Path = path so far in reverse order
 +%   ​SiblingNodes = children of head of Path
 +%   Bound = upper bound on F-value for search from SiblingNodes
 +%   ​NewBestFF = best f-value after searching just beyond Bound
 +%   ​Solved = yes, no, or never 
 +%   ​Solution = solution path if Solve = yes
 +%
 +%   ​Representation of nodes: Node = ( State, G/F/FF)
 +%   where G is cost till State, F is static f-value of State, ​
 +%   FF is backed-up value of State
 +
 +rbfs( Path, [ (Node, G/F/FF) | Nodes], Bound, FF, no, _)  :-
 +  FF > Bound, !.
 +
 +rbfs( Path, [ (Node, G/F/FF) | _], _, _, yes, [Node | Path]) ​ :-
 +  F = FF,     % Only report solution once, when first reached; then F=FF
 +  goal( Node).
 +
 +rbfs( _, [], _, _, never, _)  :- !.   % No candidates, dead end!
 +
 +rbfs( Path, [ (Node, G/F/FF) | Ns], Bound, NewFF, Solved, Sol)  :-
 +  FF =< Bound, ​                   % Within Bound: generate children
 +  findall( Child/​Cost, ​
 +           ( s( Node, Child, Cost), not member( Child, Path)),
 +           ​Children),​
 +  inherit( F, FF, InheritedFF), ​  % Children may inherit FF
 +  succlist( G, InheritedFF,​ Children, SuccNodes), ​ % Order children
 +  bestff( Ns, NextBestFF), ​       % Closest competitor FF among siblings
 +  min( Bound, NextBestFF, Bound2), !,
 +  rbfs( [Node | Path], SuccNodes, Bound2, NewFF2, Solved2, Sol),
 +  continue(Path,​ [(Node,​G/​F/​NewFF2)|Ns],​ Bound, NewFF, Solved2, Solved, Sol).
 +
 +% continue( Path, Nodes, Bound, NewFF, ChildSolved,​ Solved, Solution)
 +
 +continue( Path, [N | Ns], Bound, NewFF, never, Solved, Sol)  :- !,
 +  rbfs( Path, Ns, Bound, NewFF, Solved, Sol).    % Node N a dead end
 +
 +continue( _, _, _, _, yes, yes, Sol).
 +
 +continue( Path, [ N | Ns], Bound, NewFF, no, Solved, Sol)  :-
 +  insert( N, Ns, NewNs), !,      % Ensure siblings are ordered by values
 +  rbfs( Path, NewNs, Bound, NewFF, Solved, Sol).
 +
 +succlist( _, _, [], []).
 +
 +succlist( G0, InheritedFF,​ [Node/C | NCs], Nodes) :-
 +  G is G0 + C,
 +  h( Node, H),
 +  F is G + H,
 +  max( F, InheritedFF,​ FF),
 +  succlist( G0, InheritedFF,​ NCs, Nodes2),
 +  insert( (Node, G/F/FF), Nodes2, Nodes).
 +
 +inherit( F, FF, FF)  :-    % Child inherits father'​s FF if 
 +  FF > F, !.               % father'​s FF greater than father'​s F
 +
 +inherit( F, FF, 0).
 +
 +insert( (N, G/F/FF), Nodes, [ (N, G/F/FF) | Nodes]) :-
 +  bestff( Nodes, FF2),
 +  FF =< FF2, !.
 +
 +insert( N, [N1 | Ns], [N1 | Ns1])  :-
 +  insert( N, Ns, Ns1).
 +
 +bestff( [ (N, F/G/FF) | Ns], FF).   % First node - best FF
 +
 +bestff( [], 99999). ​     % No nodes - FF = "​infinite"​
 +</​code>​
 +===== Comments =====
  
pl/prolog/pllib/rbfs_algorithm.txt · ostatnio zmienione: 2019/06/27 15:50 (edycja zewnętrzna)
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