Revista de Estudios Sociales

rev. estud. soc. | eISSN 1900-5180 | ISSN 0123-885X

Clasificación de la personalidad y sus trastornos, con la herramienta LAMDA de Inteligencia Artificial en una muestra de personas de origen hispano que viven en Toulouse - Francia

No. 18 (2004-08-01)
  • Martha Galindo de Ariza
  • Joseph Aguilar-Martin

Abstract

This study is twofold: the first one is the study, using NEO-PIR questionnaire to obtain a description of the main features of the normal personality based on a sample of 121 Hispanic persons living in Toulouse. As high levels of depression were found in this sample, the next step was to proceed with the study of a 30 subjects sample, using three questionnaires: NEO PIR, MICM II and SCID with its interview and preliminary observation, focused to found the correlation between personality disturbance and depressive symptoms. The second purpose was to run a test with LAMDA artificial intelligence tool to classify and analyze the results of the questionnaires. This tool is based on fuzzy logic. A quick description of LAMDA algorithm is presented here, making reference to other technical publications. Several modes, learning, self-learning or active and passive recognition are applied in such a way that clinical psychological inferences can be shown.

Keywords: LAMDA classification, personality disorders, Hispanics in France and depression

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