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From: k500@sun.soe!clutx.clarkson.edu (collins anthony g,,,)
Newsgroups: comp.ai
Subject: Re: Model based diagnosis products/work
Message-ID: <2715@sun.soe.clarkson.edu>
Date: 21 Mar 89 20:50:43 GMT
References: <11936@shamash.cdc.com>
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From article <11936@shamash.cdc.com>, by tciaccio@hal.cdc.com (tom ciaccio):
> I'm interested in any products that do diagnosis of electronic devices
> given a functional model of the device's parts.  Some time ago there
> was a product called IN-ATE.  Does anyone know what happened to this
> product?  Is anyone out there using it?  Are there any other products
> or interesting work in this area?  Or should I stick to rule-based
> implementations for real-world troubleshooting problems?  What's been
> everyone's experience?
> 
> ---
> Thomas R. Ciaccio, Control Data Corporation
>                    2800 E. Old Shakopee Road,  m/s HQM234
>                    Bloomington, MN.  55425
> EMail address -    tciaccio@shamash.cdc.com

ACES learns heuristics for fault diagnosis from device descriptions.
The references are
Pazzani, M. Refining the Knowledge base of a diagnostic expert system
an application of failure driven learning. Proceedings of the National
Conference on Artificial Intelligence.American Association for Artificial
Intelligence.
Pazzani,M. Explanation based learning for knowledge based systems
Int. Joornal of Man-Machine Studies(1987)26,413-433.
I have no personal experience with these. I happened to have these
refs,that's all.
Please put a summary when you have received enough replies.

Arun