This example also illustrates a nice programming principle: sometimes the best way to solve a specific problem is to first generalize it. Logtalk materializes these ideas in its "searching" example:įor the particular case of the water jug puzzle see:
> I would like to suggest the following food for thought: With a slightly different state representation, you can shorten the code significantly, because it lets you treat the cases more uniformly.Īnother way to simplify the code for this puzzles, which are examples of state space search, is to recognize the representation of a state space and a search method as two orthogonal abstractions and to define a framework for these problems where you can apply any search method to a given problem and use a given method to solve (or attempt to solve) any problem. Move(jugs(V1, V2), fill(1)) :- capacity(1, C1), V1 0.Īdjust(Liquid, Excess, Liquid, 0) :- Excess = 0, V is Liquid - Excess. Initial_state(Problem, State), solve_dfs(State,, Moves). Solve_dfs(State, History, ) :- final_state(State). In the example below, there are two jugs, one of 10 and one of 7 and the program finds the solutions to get 6 in one of jugs. Each solution will be contained in the Moves variable. Press repeatedly to display each solution. Then you can run it from the console using: test_dfs(jugs, Moves). Save the code below into a file with the extension pl, then open it in swi-prolog and compile it. I have another code based on the The Art of Prolog - Advanced Programming Techniques, Second Edition book by Leon Sterling and Ehud Shapiro. All rights reserved.Just played with the same problem the other day. Home | Freeware | Shareware | Free Fonts | Submit | Link to usĬopyright © 2007. or obtained from file sharing programs such as Limewire, Kazaa, Imesh, Ares, BearShare, BitTorrent, WinMX etc. We do not provide any download link points to Rapidshare, Hotfile, Depositfiles, Mediafire, Filefactory, etc. The download file hosted at publisher website.
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