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What is Commonsense Reasoning Rules (CRRs)

Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends
These are rules with the help of which implicative assertions are used, updated and inferred from examples. The deductive CRRs are based on the use of syllogisms: modus ponens, modus ponendo tollens, modus tollendo ponens, and modus tollens. The inductive CRRs are the canons formulated by J. S. Mill (1900). Commonsense reasoning is based on using the CCRs.
Published in Chapter:
Machine Learning as a Commonsense Reasoning Process
Xenia Naidenova (Military Medical Academy, Russia)
DOI: 10.4018/978-1-60566-242-8.ch065
Abstract
One of the most important tasks in database technology is to combine the following activities: data mining or inferring knowledge from data and query processing or reasoning on acquired knowledge. The solution of this task requires a logical language with unified syntax and semantics for integrating deductive (using knowledge) and inductive (acquiring knowledge) reasoning. In this paper, we propose a unified model of commonsense reasoning. We also demonstrate that a large class of inductive machine learning (ML) algorithms can be transformed into the commonsense reasoning processes based on wellknown deduction and induction logical rules. The concept of a good classification (diagnostic) test (Naidenova & Polegaeva, 1986) is the basis of our approach to combining deductive and inductive reasoning.
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