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In recent years, there has been a profuse research on semantic memory in old age. In this framework, this paper addressed the production of semantic fea- tures and the variations in verbal fluency in normal cognitive aging. There are numerous studies on flu- ency, but there are fewer that compare the semantic distance between concepts in populations of young people and seniors in the same region. The purpose of this paper is to compare and analyze the semantic distance between both age groups, and the semantic richness measured by the fluency, given to 130 concepts by 90 cognitively conserved adults over 65 years old, with the features produced by 120 young adults, as found in the Normas de Producción de Atributos Semánticos en Español. Semantic features were empirically collected in written form and cor- respond to the domains living and non-living beings. Significant differences were found in verbal fluency in favor of the youngest, in coincidence with what was expressed in the literature, and stability in the semantic constitution between the concepts given by both age groups, as a novel aspect.




Jorge Ricardo Vivas, Universidad Nacional de Mar del Plata

Doctor en Psicología. Director del Instituto de Psicología Básica, Aplicada y Tecnología (IPSIBAT UNMDP-CONICET). Facultad de Psicología – UNMDP.

Sandra Martinez, Universidad Nacional de Mar del Plata

Lic. en Psicología. Tesista del IPSIBAT (UNMDP-CONICET). Facultad de Psicología - UNMDP. 

Deisy Krzemien, Universidad Nacional de Mar del Plata

Doctora en Psicología. Directora de la carrera de Especialización en Gerontología. Profesora Titular. facultad de Ciencias de la Salud y Trabajo Social UNMDP.  Investigadora Adjunta del Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). IPSIBAT - Instituto de Psicología Básica, Aplicada y Tecnología – UNMDP – CONICET. 

Francisco Lizarralde, Universidad Nacional de Mar del Plata

Ingeniero Electricista c/o Electrónica, Mag. en Tecnología Informática Aplicada en Educación y tesista doctoral en Ciencias Informáticas del Grupo de Inteligencia Artificial Facultad de Ingeniería, UNMDP

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