LA APLICACIÓN DE MODELOS DE INTELIGENCIA ARTIFICIAL EN EL CAMPO DE LA PSICOPATOLOGÍA

THE APPLICATION OF ARTIFICIAL INTELLIGENCE MODELS IN PSYCHOPATOLOGY Historically can be found attempts to capitalize the subjective experience of the expert in their concern area: the Expert Systems. These have shown their ineficiency and effectiveness in the uncertainty treatment, in contrast with their high effectiveness in deterministics facts analysis. The uncertainty is an element always in irst plane in psychopathology. The joint evolution of interdisciplinary investigations in the uncertainty treatment area has obtained a convergence that can give important contributions to the development of the psychopathology: The probabilistics or bayesianas causal networks. This work tries to give some reasons and ways to study from which this application is feasible and legitimate. A network of this type allows so much to make a model to investigate nonpredicted relations between the data or as also a useful tool for the “decision making” (Field in which these models have high relevance). For make a really rich model is precise to make it based in classic psychiatry and the psychoanalysis elements in order not to remain with static and synchronous of the present nosologies that make the model remarkably restricting in potentiality and application possibilities.