Journal of the Japanese Society for Artificial Intelligence
Online ISSN : 2435-8614
Print ISSN : 2188-2266
Print ISSN:0912-8085 until 2013
Navigation Strategy Learning in Constraint Programming
Megumi ISHIIShigeo KANEDA
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1997 Volume 12 Issue 6 Pages 891-900

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Abstract

In this paper, we propose a method to learn guidance strategies for data-entry systems. A feature of our method is that guidance strategies are learned by generalizing user's operation logs based on constraints among data items. The proposed method enables a data-entry system to acquire the strategies through its operation stage. As a result, no programming is needed for guidance and the system provides guidance which is adapted to a user.

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© 1997 The Japaense Society for Artificial Intelligence
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