Abstract
Within everyday reasoning we often use argumentation patterns that employ the rather vague notion of something being normally true. This form of reasoning is usually captured using Reiter’s Default Logic. However, in Default Logic one has to make explicit the rules which are to be used for reasoning and which are supposed to be normally true. This is a bit contrary to the everyday situation where people use experience to decide what normally follows from particular observations and what not, not using any kind of logical rules at all. To formalize this kind of reasoning we propose an approach which is based on prior experiences, using the fact that something follows normally if this is the case for “almost all” of the available experience.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Agrawal, R., Imielinski, T., Swami, A.: Mining Association Rules between Sets of Items in Large Databases. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 207–216 (1993)
Ganter, B., Wille, R.: Formal Concept Analysis: Mathematical Foundations. Springer, Heidelberg (1999)
McCarthy, J.: Circumscription–A form of non-monotonic reasoning. Artificial Intelligence 13, 1–2 (1980); Special Issue on Non-Monotonic Logic, 27–39
Reiter, R.: A logic for default reasoning. Artificial Intelligence 13, 1–2 (1980); Special Issue on Non-Monotonic Logic, 81–132
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Borchmann, D. (2013). Experience Based Nonmonotonic Reasoning. In: Cabalar, P., Son, T.C. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2013. Lecture Notes in Computer Science(), vol 8148. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40564-8_20
Download citation
DOI: https://doi.org/10.1007/978-3-642-40564-8_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40563-1
Online ISBN: 978-3-642-40564-8
eBook Packages: Computer ScienceComputer Science (R0)