Abstract
Much of the research into reasoning about actions is driven by a set of small benchmark problems. For such problems, specifying action behaviours within any particular logic of action is a simple task. In more complex domains this may not be the case. A simple and proven method for eliciting knowledge from experts — called Ripple Down Rules (RDR) — can be adapted for representing action descriptions and plans.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kwok, R.B.H. (2002). Using Ripple Down Rules for Actions and Planning. In: Ishizuka, M., Sattar, A. (eds) PRICAI 2002: Trends in Artificial Intelligence. PRICAI 2002. Lecture Notes in Computer Science(), vol 2417. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45683-X_74
Download citation
DOI: https://doi.org/10.1007/3-540-45683-X_74
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44038-3
Online ISBN: 978-3-540-45683-4
eBook Packages: Springer Book Archive