Abstract. Some examples of natural human common sense reasoning both in scientific pattern recognition problems and in solving logical games are given. An analysis of inference structure shows that inductive and deductive rules communicate in reasoning. An automated model for detecting the types of woodland from incomplete descriptions of some evidences is also given in this paper. The important part of this model is a small knowledge base of experts’ knowledge about natural woodlands as biological formation.

Keywords: commonsense reasoning machine learning, rule-based inference, good diagnostic test

Link:

ANALYSIS OF HUMAN COMMONSENSE REASONING PROCESSES IN PATTERN RECOGNITION

Xenia Naidenova

http://foibg.com/ibs_isc/ibs-12/ibs-12-p12.pdf