Dealing with the Fuzziness of Human Reasoning

11/21/2013
by   Michael Gr. Voskoglou, et al.
0

Reasoning, the most important human brain operation, is charactrized by a degree fuzziness. In the present paper we construct a fuzzy model for the reasoning process giving through the calculation of the possibilities of all possible individuals' profiles a quantitative/qualitative view of their behaviour during the above process and we use the centroid defuzzification technique for measuring the reasoning skills. We also present a number of classroom experiments illustrating our results in practice.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/10/2012

Applications of fuzzy logic to Case-Based Reasoning

The article discusses some applications of fuzzy logic ideas to formaliz...
research
10/01/2021

Learner to learner fuzzy profiles similarity using a hybrid interaction analysis grid

The analysis of remote discussions is not yet at the same level as the f...
research
04/05/2013

Logical Fuzzy Preferences

We present a unified logical framework for representing and reasoning ab...
research
04/28/2012

A Fuzzy Model for Analogical Problem Solving

In this paper we develop a fuzzy model for the description of the proces...
research
10/15/2019

Solving Logic Grid Puzzles with an Algorithm that Imitates Human Behavior

We present in this paper our solver for logic grid puzzles. The approach...
research
01/04/2014

A stochastic model for Case-Based Reasoning

Case-Bsed Reasoning (CBR) is a recent theory for problem-solving and lea...
research
12/12/2012

From Qualitative to Quantitative Probabilistic Networks

Quantification is well known to be a major obstacle in the construction ...

Please sign up or login with your details

Forgot password? Click here to reset