Temperament and Mood Detection Using Case Based Reasoning

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Adebayo Kolawole John 1,* Adekoya Adewale M. 2 Ekwonna Chinnasa 3

1. Dept. of Computer Science, Southwestern University, Okun-Owa, Ijebu-Ode, Nigeria

2. Dept. of Mathematics, Tai Solarin College of Education, Omu-Ijebu, Nigeria

3. Dept. of Computer Science, Oduduwa University, Ipetumodu, Ile-Ife, Nigeria

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2014.03.05

Received: 10 May 2013 / Revised: 15 Sep. 2013 / Accepted: 10 Nov. 2013 / Published: 8 Feb. 2014

Index Terms

CBR, Temperament, Mood, TAMDS, Artificial Intelligence


Case-Based Reasoning (CBR) is a branch of AI that is employed to solving problems which emphasizes the use of previous solutions in solving similar new problems. This work presents TAMDS, a Temperament and Mood Detection system which employs Case-Based Reasoning technique. The proposed system is adapted to the field of psychology to help psychologists solve part of the problems in their complex domain. We have designed TAMDS to detect temperament and moods of individuals. A major aim of our system is to help individuals who are out of reach of a professional psychologist to manage their personality and moods because as humans, moods affect our perceptions, personal health, the way we view the world around us and the way we react to it.

Cite This Paper

Adebayo Kolawole John, Adekoya Adewale M., Ekwonna Chinnasa, "Temperament and Mood Detection Using Case-Based Reasoning", International Journal of Intelligent Systems and Applications(IJISA), vol.6, no.3, pp.50-61, 2014. DOI:10.5815/ijisa.2014.03.05


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