Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2522
Title: Algorithmic decision of syllogisms
Authors: Kumova, Bora İsmail
Çakır, Hüseyin
Keywords: Automata theory
Approximate reasoning
Syllogistic reasoning
Human-machine interaction
Man machine systems
Publisher: Springer Verlag
Source: Kumova, B. İ., and Çakır, H. (2010). Lecture Notes in Computer Science, 6097 LNAI (PART 2), 28-38. doi:10.1007/978-3-642-13025-0_4
Abstract: A syllogism, also known as a rule of inference, is a formal logical scheme used to draw a conclusion from a set of premises. In a categorical syllogisms, every premise and conclusion is given in form a of quantified relationship between two objects. The syllogistic system consists of systematically combined premises and conclusions to so called figures and moods. The syllogistic system is a theory for reasoning, developed by Aristotle, who is known as one of the most important contributors of the western thought and logic. Since Aristotle, philosophers and sociologists have successfully modelled human thought and reasoning with syllogistic structures. However, a major lack was that the mathematical properties of the whole syllogistic system could not be fully revealed by now. To be able to calculate any syllogistic property exactly, by using a single algorithm, could indeed facilitate modelling possibly any sort of consistent, inconsistent or approximate human reasoning. In this paper we present such an algorithm.
Description: 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligence Systems, IEA/AIE 2010; Cordoba; Spain; 1 June 2010 through 4 June 2010
URI: http://doi.org/10.1007/978-3-642-13025-0_4
http://hdl.handle.net/11147/2522
ISBN: 9783642130243
ISSN: 0302-9743
1611-3349
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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