b697f3d34e
git-svn-id: https://yap.svn.sf.net/svnroot/yap/trunk@1781 b08c6af1-5177-4d33-ba66-4b1c6b8b522a
47 lines
1.6 KiB
Plaintext
47 lines
1.6 KiB
Plaintext
=================================================================
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Logtalk - Object oriented extension to Prolog
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Release 2.29.3
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Copyright (c) 1998-2007 Paulo Moura. All Rights Reserved.
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=================================================================
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To load this example and for sample queries, please see the SCRIPT file.
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You will also need to load the following files in the library directory:
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dates_loader, types_loader, events_loader, metapredicates_loader, and
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hierarchies_loader. Alternatively, you can just load the library all_loader
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file.
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Some of the code in this folder is adopted, with permission, from the book
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"Prolog Programming for Artificial Intelligence" by Ivan Bratko.
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For a description of the search problems, please see a classical AI book
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(such as the one above) or visit the url <http://www.plastelina.net/games>.
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This example defines two hierarchies of objects, one for representing
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state-spaces and another for representing search methods:
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state_space
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farmer
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water_jug
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salt(Quantity, Measure1, Measure2)
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heuristic_state_space
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bridge
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eight_puzzle
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miss_cann
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search_strategy
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blind_search(Bound)
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breadth_first(Bound)
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depth_first(Bound)
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heuristic_search(Threshold)
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best_first(Threshold)
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hill_climbing(Threshold)
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Taken together, these two hierarchies implement a framework for solving
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state-space search problems in Logtalk. There is also a monitor object,
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"performance", which tries to measure the time taken to find a solution,
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the branching factor while searching for a solution, and the number of
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transitions made to find a solution.
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