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From: Marcella.Zaragoza@ISL1.RI.CMU.EDU
Newsgroups: mod.ai
Subject: Seminar - Anatomy of a Case-Based Inference (CMU)
Message-ID: <8703160619.AA13030@ucbvax.Berkeley.EDU>
Date: Fri, 13-Mar-87 15:59:55 EST
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Posted: Fri Mar 13 15:59:55 1987
Date-Received: Mon, 16-Mar-87 06:41:46 EST
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			AI SEMINAR

TOPIC:    "The Anatomy of a Case-Based Inference"

SPEAKER:  Janet Kolodner, Georgia Tech

WHEN:	  Tuesday, March 17, 1987, 3:30 p.m.
WHERE:	  Wean Hall 5409
***If you wish to meet with the speaker on Tuesday,***
	please call Marce at x8818

ABSTRACT:  Case-based reasoning is reasoning done on the basis of one
or a set of previous experiences (or cases), rather than from general
reasonable rules.  Case-based inference is an inference made from a
previous experience.  In this medium, we can look at how case-based
inference can be controlled, requirements for making a careful case-based
inference, and what support mechanisms are necessary to make case-based
inference feasible.