home *** CD-ROM | disk | FTP | other *** search
- Newsgroups: comp.ai
- Path: sparky!uunet!zaphod.mps.ohio-state.edu!saimiri.primate.wisc.edu!aplcen.apl.jhu.edu!aplcenmp!hall
- From: hall@aplcenmp.apl.jhu.edu (Marty Hall)
- Subject: Re: Admissible Heuristic help
- Message-ID: <C0CAFu.AvJ@aplcenmp.apl.jhu.edu>
- Organization: AAI Corp AI Lab, JHU P/T CS Faculty
- References: <1992Dec28.124626.23201@cs.wayne.edu> <Dec.28.21.05.52.1992.26957@paul.rutgers.edu>
- Distribution: na
- Date: Mon, 4 Jan 1993 17:11:53 GMT
- Lines: 29
-
- dcohen@paul.rutgers.edu (Dawn Myfanwy Cohen) writes:
- >(Jason Leigh) writes:
- >
- >> If any one can give me a definition, I'd really appreciate it, i.e. what
- >> does and does not make a heuristic admissible. And if you know of a book
- >> where I can find this in, I'd like to know too.
- >
- >see Nilsson, Principles of Artificial Intelligence, 1980, p.76.
- >
- >"Let us say that a search algorithm is admissible if [first solution
- found is an optimal one]
-
- Well, I have always maintained a distinction between an admissible algorithm
- and an admissible heuristic, although I'm not sure if this is normal usage.
- I've always used "Admissible Heuristic" to mean a heuristic for which A* is
- admissible, ie one that is always non-overestimating and yields 0 for
- solution nodes.
-
- Search references that I like that probably discuss this are Pearl's
- _Heuristics_, and Kanal and Kumar's _Search in Artificial Intelligence_,
- esp Chapter 8, "Optimal Path Finding Algorithms" by Rich Korf.
-
- - Marty
- ------------------------------------------------------
- hall@aplcen.apl.jhu.edu, hall%aplcen@jhunix.bitnet, ..uunet!aplcen!hall
- Artificial Intelligence Lab, AAI Corp, PO Box 126, Hunt Valley, MD 21030
-
- (proclaim '(inline skates))
- ---
-