Combining Nonmonotonic Inference and Case-Based Reasoning to Solve Practical Problems

DOI

10.2991/asei-15.2015.392How to use a DOI?

Keywords

nonmonotonic reasoning, case-based reasoning, machine learning

Abstract

This paper aims to establish the connection between case-based reasoning and nonmonotonic reasoning. In particular, we suggest to make nonmonotonic inference using case-based reasoning. The key idea of this work is that nonmonotonic reasoning should be considered as an inductive process. When provided with incomplete knowledge, our method turns to previous cases and reuses these cases when they are found to be similar enough. We show that many benchmark problems in nonmonotonic reasoning literature can be solved using our proposed method.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hai Lin
AU  - Baoliang Mu
PY  - 2015/05
DA  - 2015/05
TI  - Combining Nonmonotonic Inference and Case-Based Reasoning to Solve Practical Problems
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 1985
EP  - 1987
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.392
DO  - 10.2991/asei-15.2015.392
ID  - Lin2015/05
ER  -