Knowledge Mining Based on the Valid Generalized Syllogism MMI-3 with the Quantifier ‘Most’

Volume 8, Issue 2, April 2024     |     PP. 84-94      |     PDF (267 K)    |     Pub. Date: April 18, 2024
DOI: 10.54647/isss120347    28 Downloads     2555 Views  

Author(s)

Baoxiang Wu, School of Philosophy, Sichuang Normal University, Chengdu, China

Abstract
This paper firstly presents knowledge representations of generalized syllogisms, and then uses relevant facts and reasoning rules to conduct knowledge reasoning on the basis of the generalized syllogism MMI-3 with the quantifier ‘most’. The main conclusion is that there are at least the other 25 valid generalized syllogisms that can be deduced from the validity of this syllogism. The paper achieves the initial goal of knowledge mining for this generalized syllogism logical fragment.

Keywords
generalized syllogisms; knowledge representation; knowledge reasoning; knowledge mining

Cite this paper
Baoxiang Wu, Knowledge Mining Based on the Valid Generalized Syllogism MMI-3 with the Quantifier ‘Most’ , SCIREA Journal of Information Science and Systems Science. Volume 8, Issue 2, April 2024 | PP. 84-94. 10.54647/isss120347

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