Talk:Beam search

Latest comment: 8 years ago by InternetArchiveBot in topic External links modified
edit

Paradigms of Artificial Intelligence programming has a clear explanation of Beam Search (with Lisp code):

http://books.google.com/books?id=X4mhySvjqUAC&pg=PA196&lpg=PA196&dq=beam+search+in+paradigms+of+artificial+intelligence+programming&source=web&ots=20BH2lB3sc&sig=udBIO2Qeg8awaySgwCu7gDEObY4&hl=en&sa=X&oi=book_result&resnum=1&ct=result#PPA196,M1 Jwinter (talk) 18:26, 26 June 2008 (UTC)jwinterReply

source code for beam search in same book (from author's site):

http://norvig.com/paip/search.lisp 217.132.197.231 (talk) 22:27, 6 July 2008 (UTC)Reply

Not happy about discussion of variable beam width

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Paragraph currently reads as follows: The beam width can either be fixed or variable. In a fixed beam width, a maximum number of successor states is kept. In a variable beam width, a threshold is set around the current best state. All states that fall outside this threshold are discarded. Thus, in places where the best path is obvious, a minimal number of states is searched. In places where the best path is ambiguous, many paths will be searched. The wording is problematic. A threshold is not set around a state; a threshold is a left wall or right wall rather than a pair of walls. Also, the paragraph seems to be confusing fixed width with maximum width. Finally, the paragraph doesn't make it clear how the width is chosen. I suspect that there are a variety of ways. One way, described in the book reference above, is what the author calls "iterative widening" (though he emphasizes that this is not a standard term): the beam width is started at a minimum level, and if the search fails, the width is increased and the search repeated. I'm sure there are other ways of dynamically setting the beam width, however. I think it would be more accurate to simply remove everything but the first sentence of the paragraph, which is probably what I'll do. -AlanUS (talk) 20:12, 1 March 2011 (UTC)Reply

edit

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