IDEME: A DBMS of Methods
Name
AI_WP_276.pdf
Description
Main article
Size
1.33 MB
Format
Adobe PDF
Checksum (MD5)
db60a2d91e2160649edf1edaabb56f24
Author(s)
Lee, Jintae
Date Issued
August 1985
Publisher
MIT Artificial Intelligence Laboratory
Series/Report no.
MIT Artificial Intelligence Laboratory Working Papers, WP-276
Abstract
In this paper, an intelligent database management system (DBMS) called IDEME is presented. IDEME is a program that takes as input a task specification and finds a set of methods potentially relevant to solving that task. It does so by matching the task specification to the methods in its database at multiple levels of abstraction. After isolating potentially useful methods, IDEME ranks them by how relevant they might be to the task. From the most relevant method, it checks if its operational demands, i.e. those conditions that have to be satisfied for the method to be applicable, are satisfied by the present task. If so, it presents the algorithm of the method relativized to the present task; otherwise, it goes on to the next method. In this paper, the focus will be on the representation scheme that is used by IDEME to represent methods as well as tasks.
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