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From: ntm1169@dsac.dla.mil (Mott Given)
Newsgroups: comp.ai.neural-nets
Subject: Re: Expert System Benchmark
Message-ID: <2968@dsac.dla.mil>
Date: 14 Jun 91 15:56:14 GMT
References: <ATAN.91Jun13143045@park.bu.edu>
Distribution: comp
Organization: Defense Logistics Agency Systems Automation Center, Columbus
Lines: 20

From article <ATAN.91Jun13143045@park.bu.edu>,by atan@park.bu.edu (Ah-Hwee Tan):
> Hi! I am in the process of gathering a list of knowledge-intensive
> tasks for benchmarking expert system architectures. 

    The appropriate benchmark depends upon the kind of tool you are talking   
    about, eg. Prolog, or LISP, or an expert system shell, or a neural
    network.   One approach that I have seen with expert system shells
    (in Paul Harmon's books) is to take a small, benchmark expert system
    and see how difficult it is to code in different expert system shells.
    This brings up another question - are you concerned with benchmarking the
    speed of the running application, or the speed and ease of development,
    or the speed in recompiling the application each time you make a change
    it in (some tools have incremental compilers while others do not), or
    what?

-- 
Mott Given @ Defense Logistics Agency Systems Automation Center,
             DSAC-TMP, Bldg. 27-1, P.O. Box 1605, Columbus, OH 43216-5002
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