MVILAIN@G.BBN.COM (Marc Vilain) (07/18/88)
Date: Thu, 14 Jul 88 16:48 EDT
From: Marc Vilain <MVILAIN@G.BBN.COM>
Subject: Case memory for a case-based reasoner
To: ai-folks@G.BBN.COM
BBN Science Development Program
AI Seminar Series Lecture
CASE MEMORY FOR A CASE-BASED REASONER
JANET KOLODNER
Georgia Institute of Technology,
& MIT (AI in Medicine Group),
& Thinking Machines Corp.
(janetk@zermatt.lcs.mit.edu)
BBN Labs
10 Moulton Street
3rd floor large conference room
10:30 am, Tuesday July 19th
*** NOTE: NOT THE USUAL ROOM ***
Perhaps the most important support process a case-based reasoner needs
is a memory for cases. Analysis of observations of physicians using
cases during problem solving have led us to derive requirements for a
case memory. We then created representations, retrieval algorithms, and
selection heuristics that support these requirements. In this talk, I
first present observations of physicians using cases during problem
solving and then present the requirements on memory that arise from
analyzing doctors' behavior. I will also present the representations,
retrieval algorithms, and selection heuristics that derive from those
requirements. The memory model is implemented in a computer program
called PARADYME (Parallel Dynamic Memory) and runs on the Connection
Machine. Research was done in conjunction with physicians at New
England Medical Center and programmers at Thinking Machines.
-------