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A Mathematical Software for Deduction of Categorical Syllogisms

2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2019
In this work, we give a software to calculate deductions which are obtained from premises of syllogisms by the help of the SLCD (Syllogistic Logic with Carroll Diagrams) system. Moreover, this software determines whether syllogistic reasoning valid or not based on the calculus system SLCD.
Arif Gursoy   +3 more
openaire   +1 more source

Learning valid categorical syllogisms using an associative memory

2015 International Joint Conference on Neural Networks (IJCNN), 2015
Reasoning is a high-level cognitive function that is gaining attention in the artificial neural network community. While there are many types of reasoning, this paper is specifically looking at valid categorical syllogisms. First we show that a standard bi-directional associative memory cannot learn all valid categorical syllogisms because these ...
Sylvain Chartier, Melissa Johnson
openaire   +1 more source

Granular Computing and Aristotle’s Categorical Syllogism

2019
This chapter applies granular computing to Aristotle’s categorical syllogism. Such kind of reasoning is called granular reasoning. For the purpose, two operations called zooming in and out are introduced to reconstruct granules of possible worlds.
Seiki Akama, Yasuo Kudo, Tetsuya Murai
openaire   +1 more source

Theories of categorical reasoning and extended syllogisms

Thinking & Reasoning, 2006
The aim of this study was to examine the predictions of three theories of human logical reasoning, (a) mental model theory, (b) formal rules theory (e.g., PSYCOP), and (c) the probability heuristics model, regarding the inferences people make for extended categorical syllogisms.
openaire   +1 more source

Complexity of categorical syllogisms: An integration of two metrics

European Journal of Cognitive Psychology, 2009
The complexity of categorical syllogisms was assessed using the relational complexity metric, which is based on the number of entities that are related in a single cognitive representation. This was compared with number of mental models in an experiment in which adult participants solved all 64 syllogisms.
Zielinski, Tracey A   +2 more
openaire   +3 more sources

Non-Logical Solving of Categorical Syllogisms

1990
Abstract It is shown that a model based on linguistic (pragmatic and grammatical) principles can account for responses to formal categorical syllogisms. The model gives an explanation of the well-known biases in syllogistic reasoning (in particular the atmosphere effect and the figural effect).
openaire   +1 more source

Categorical Syllogisms

2018
Irving M. Copi   +2 more
openaire   +1 more source

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