使用 George F Luger ( WorldCat )的“Artificial Intelligence - Structures and Strategies for Complex Problem Solving”中的示例代码
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%%%
%%% This is one of the example programs from the textbook:
%%%
%%% Artificial Intelligence:
%%% Structures and strategies for complex problem solving
%%%
%%% by George F. Luger and William A. Stubblefield
%%%
%%% Corrections by Christopher E. Davis (chris2d@cs.unm.edu)
%%%
%%% These programs are copyrighted by Benjamin/Cummings Publishers.
%%%
%%% We offer them for use, free of charge, for educational purposes only.
%%%
%%% Disclaimer: These programs are provided with no warranty whatsoever as to
%%% their correctness, reliability, or any other property. We have written
%%% them for specific educational purposes, and have made no effort
%%% to produce commercial quality computer programs. Please do not expect
%%% more of them then we have intended.
%%%
%%% This code has been tested with SWI-Prolog (Multi-threaded, Version 5.2.13)
%%% and appears to function as intended.
%%%%%%%%%%%%%%%%%%%% stack operations %%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% These predicates give a simple, list based implementation of stacks
% empty stack generates/tests an empty stack
member(X,[X|_]).
member(X,[_|T]):-member(X,T).
empty_stack([]).
% member_stack tests if an element is a member of a stack
member_stack(E, S) :- member(E, S).
% stack performs the push, pop and peek operations
% to push an element onto the stack
% ?- stack(a, [b,c,d], S).
% S = [a,b,c,d]
% To pop an element from the stack
% ?- stack(Top, Rest, [a,b,c]).
% Top = a, Rest = [b,c]
% To peek at the top element on the stack
% ?- stack(Top, _, [a,b,c]).
% Top = a
stack(E, S, [E|S]).
%%%%%%%%%%%%%%%%%%%% queue operations %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% These predicates give a simple, list based implementation of
% FIFO queues
% empty queue generates/tests an empty queue
empty_queue([]).
% member_queue tests if an element is a member of a queue
member_queue(E, S) :- member(E, S).
% add_to_queue adds a new element to the back of the queue
add_to_queue(E, [], [E]).
add_to_queue(E, [H|T], [H|Tnew]) :- add_to_queue(E, T, Tnew).
% remove_from_queue removes the next element from the queue
% Note that it can also be used to examine that element
% without removing it
remove_from_queue(E, [E|T], T).
append_queue(First, Second, Concatenation) :-
append(First, Second, Concatenation).
%%%%%%%%%%%%%%%%%%%% set operations %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% These predicates give a simple,
% list based implementation of sets
% empty_set tests/generates an empty set.
empty_set([]).
member_set(E, S) :- member(E, S).
% add_to_set adds a new member to a set, allowing each element
% to appear only once
add_to_set(X, S, S) :- member(X, S), !.
add_to_set(X, S, [X|S]).
remove_from_set(_, [], []).
remove_from_set(E, [E|T], T) :- !.
remove_from_set(E, [H|T], [H|T_new]) :-
remove_from_set(E, T, T_new), !.
union([], S, S).
union([H|T], S, S_new) :-
union(T, S, S2),
add_to_set(H, S2, S_new).
intersection([], _, []).
intersection([H|T], S, [H|S_new]) :-
member_set(H, S),
intersection(T, S, S_new),!.
intersection([_|T], S, S_new) :-
intersection(T, S, S_new),!.
set_diff([], _, []).
set_diff([H|T], S, T_new) :-
member_set(H, S),
set_diff(T, S, T_new),!.
set_diff([H|T], S, [H|T_new]) :-
set_diff(T, S, T_new), !.
subset([], _).
subset([H|T], S) :-
member_set(H, S),
subset(T, S).
equal_set(S1, S2) :-
subset(S1, S2), subset(S2, S1).
%%%%%%%%%%%%%%%%%%%%%%% priority queue operations %%%%%%%%%%%%%%%%%%%
% These predicates provide a simple list based implementation
% of a priority queue.
% They assume a definition of precedes for the objects being handled
empty_sort_queue([]).
member_sort_queue(E, S) :- member(E, S).
insert_sort_queue(State, [], [State]).
insert_sort_queue(State, [H | T], [State, H | T]) :-
precedes(State, H).
insert_sort_queue(State, [H|T], [H | T_new]) :-
insert_sort_queue(State, T, T_new).
remove_sort_queue(First, [First|Rest], Rest).
规划师
%%%%%%%%% Simple Prolog Planner %%%%%%%%
%%%
%%% This is one of the example programs from the textbook:
%%%
%%% Artificial Intelligence:
%%% Structures and strategies for complex problem solving
%%%
%%% by George F. Luger and William A. Stubblefield
%%%
%%% Corrections by Christopher E. Davis (chris2d@cs.unm.edu)
%%%
%%% These programs are copyrighted by Benjamin/Cummings Publishers.
%%%
%%% We offer them for use, free of charge, for educational purposes only.
%%%
%%% Disclaimer: These programs are provided with no warranty whatsoever as to
%%% their correctness, reliability, or any other property. We have written
%%% them for specific educational purposes, and have made no effort
%%% to produce commercial quality computer programs. Please do not expect
%%% more of them then we have intended.
%%%
%%% This code has been tested with SWI-Prolog (Multi-threaded, Version 5.2.13)
%%% and appears to function as intended.
:- [adts].
plan(State, Goal, _, Moves) :- equal_set(State, Goal),
write('moves are'), nl,
reverse_print_stack(Moves).
plan(State, Goal, Been_list, Moves) :-
move(Name, Preconditions, Actions),
conditions_met(Preconditions, State),
change_state(State, Actions, Child_state),
not(member_state(Child_state, Been_list)),
stack(Child_state, Been_list, New_been_list),
stack(Name, Moves, New_moves),
plan(Child_state, Goal, New_been_list, New_moves),!.
change_state(S, [], S).
change_state(S, [add(P)|T], S_new) :- change_state(S, T, S2),
add_to_set(P, S2, S_new), !.
change_state(S, [del(P)|T], S_new) :- change_state(S, T, S2),
remove_from_set(P, S2, S_new), !.
conditions_met(P, S) :- subset(P, S).
member_state(S, [H|_]) :- equal_set(S, H).
member_state(S, [_|T]) :- member_state(S, T).
reverse_print_stack(S) :- empty_stack(S).
reverse_print_stack(S) :- stack(E, Rest, S),
reverse_print_stack(Rest),
write(E), nl.
/* sample moves */
move(pickup(X), [handempty, clear(X), on(X, Y)],
[del(handempty), del(clear(X)), del(on(X, Y)),
add(clear(Y)), add(holding(X))]).
move(pickup(X), [handempty, clear(X), ontable(X)],
[del(handempty), del(clear(X)), del(ontable(X)),
add(holding(X))]).
move(putdown(X), [holding(X)],
[del(holding(X)), add(ontable(X)), add(clear(X)),
add(handempty)]).
move(stack(X, Y), [holding(X), clear(Y)],
[del(holding(X)), del(clear(Y)), add(handempty), add(on(X, Y)),
add(clear(X))]).
go(S, G) :- plan(S, G, [S], []).
test :- go([handempty, ontable(b), ontable(c), on(a, b), clear(c), clear(a)],
[handempty, ontable(c), on(a,b), on(b, c), clear(a)]).
大多数代码保持不变,解决您的问题所需的唯一更改是谓词move/3
和查询test
。在添加谓词以解决您的问题之前,请注释掉或删除谓词move/3
和test/0
上述代码。
以下是所需的所有新谓词,move/3
并且test/0
. 第一个move/3
显示出来,其余的需要显示(单击Reveal spoiler
),以便您可以在需要时查看它们,但您应该尝试自己做。
move(take_from_trunk(X), [hand(empty), trunk(X)],
[del(hand(empty)), del(trunk(X)),
add(hand(X)), add(trunk(empty))]).
该状态跟踪四个位置,hand
,ground
,axle
和trunk
,以及位置的三个值,flat
,spare
和empty
。谓词move/3
还使用变量,因此它们不固定在它们可以做什么。
move/3
谓词有 3 个参数。
- 名称:答案中出现的内容,例如
take_from_trunk(spare)
。
- 前提条件:
state
应用移动必须存在的条件。
- 操作:如果应用了移动,则对状态所做的更改。这些代替了你的
assert
and retract
。更改非常简单,您删除状态的一些属性,例如del(hand(empty))
并添加一些,例如add(hand(X))
。对于您给定的问题,此解决方案很简单,因为对于每个更改,每个更改都有del
一个匹配的add
.
查询:
test :- go([hand(empty), trunk(spare), axle(flat), ground(empty)],
[hand(empty), trunk(flat), axle(spare), ground(empty)]).
示例运行:
?- test.
moves are
take_from_trunk(spare)
place_on_ground(spare)
take_off_axle(flat)
place_in_trunk(flat)
pickup_from_ground(spare)
place_on_axle(spare)
true.
需要其他move/3
谓词。尝试自己做这件事。
移动(起飞轴(X),[手(空),轴(X)],
[del(手(空)),del(轴(X)),
添加(手(X)),添加(轴(空) )])。
移动(place_on_ground(X),[hand(X),ground(empty)],
[del(hand(X)),del(ground(empty)),
add(hand(empty)),add(ground(X) )])。
move(pickup_from_ground(X), [hand(empty), ground(X)],
[del(hand(empty)), del(ground(X)),
add(hand(X)), add(ground(empty) )])。
移动(place_on_axle(X),[手(X),车轴(空)],
[del(手(X)),del(车轴(空)),
添加(手(空)),添加(车轴(X) )])。
move(place_in_trunk(X), [hand(X), trunk(empty)],
[del(hand(X)), del(trunk(empty)),
添加(手(空)),添加(树干(X))])。
在编写这些谓词时,有些谓词move/3
没有按我预期的那样工作,所以我为每个谓词创建了简单的测试查询来检查它们。
使用测试还帮助我更改了其中的内容state
以及它的表示方式,例如,而不是handempty
它holding(X)
被更改为hand(empty)
更hand(X)
容易理解、遵循和检查代码的一致性,但很可能使代码更效率低下。
test_01 :- go([hand(empty), trunk(spare), axle(flat), ground(empty)],
[hand(spare), trunk(empty), axle(flat), ground(empty)]).
test_02 :- go([hand(empty), trunk(spare), axle(flat), ground(empty)],
[hand(flat), trunk(spare), axle(empty), ground(empty)]).
test_03 :- go([hand(flat), trunk(spare), axle(empty), ground(empty)],
[hand(empty), trunk(spare), axle(empty), ground(flat)]).
test_04 :- go([hand(empty), trunk(spare), axle(empty), ground(flat)],
[hand(flat), trunk(spare), axle(empty), ground(empty)]).
test_05 :- go([hand(spare), trunk(empty), axle(empty), ground(flat)],
[hand(empty), trunk(empty), axle(spare), ground(flat)]).
test_06 :- go([hand(flat), trunk(empty), axle(spare), ground(empty)],
[hand(empty), trunk(flat), axle(spare), ground(empty)]).
其中一些测试只使用一个动作就可以按预期工作,而其他测试则返回许多动作。我没有修改move/3
这里,因此只move/3
考虑一个,但如果您愿意,可以修改它们。想想看守声明或约束。
此处列出测试结果的另一个原因是,表明某些动作不是按照您的想法或预期的方式选择的,并且没有完全按照您的预期工作,但是对已发布问题的查询可以作为预期的。因此,如果您编写测试用例并且它们返回类似的内容,请不要假设您move/3
的测试用例无效或有错误,它们可能不会。当您使所有move/3
查询和最终查询按预期工作时,请返回并尝试了解为什么会发生这些多个移动,然后根据需要进行修改。
?- test_01.
moves are
take_from_trunk(spare)
true.
?- test_02.
moves are
take_from_trunk(spare)
place_on_ground(spare)
take_off_axle(flat)
place_in_trunk(flat)
pickup_from_ground(spare)
place_on_axle(spare)
take_from_trunk(flat)
place_on_ground(flat)
take_off_axle(spare)
place_in_trunk(spare)
pickup_from_ground(flat)
true.
?- test_03.
moves are
place_on_ground(flat)
true.
?- test_04.
moves are
take_from_trunk(spare)
place_on_axle(spare)
pickup_from_ground(flat)
place_in_trunk(flat)
take_off_axle(spare)
place_on_ground(spare)
take_from_trunk(flat)
place_on_axle(flat)
pickup_from_ground(spare)
place_in_trunk(spare)
take_off_axle(flat)
true.
?- test_05.
moves are
place_on_axle(spare)
true.
?- test_06.
moves are
place_on_ground(flat)
take_off_axle(spare)
place_in_trunk(spare)
pickup_from_ground(flat)
place_on_axle(flat)
take_from_trunk(spare)
place_on_ground(spare)
take_off_axle(flat)
place_in_trunk(flat)
pickup_from_ground(spare)
place_on_axle(spare)
true.