Ambivalence in machine intelligence: the epistemological roots of the Turing Machine

  • Belen Prado Leuphana Universität Lüneburg Institut für Kultur und Ästhetik Digitaler Medien (ICAM) Fakultät für Kulturwissenschaften


 The Turing Machine (TM) presents itself as the very landmark and initial design of a digital automata present in all modern general-purpose digital computers and whose design on computable numbers triggers deeply ontological as well as epistemological foundations for today’s computers. The attempt along these lines of work is to briefly analyze the fundamental epistemological problem that rose in the late 19th and early 20th century whereby “machine cognition” emerges. The epistemological roots addressed in the TM and notably in its “Halting Problem” uncovers the tension between determinism and uncertainty, which are regarded here as the primal and inherent features of machine’s cognition. La Máquina de Turing (MT) se presenta como el hito y el diseño inicial de un autómata digital presente en todas las computadoras digitales modernas de propósito general y cuyo diseño en números computables desencadena bases profundamente ontológicas y epistemológicas para las computadoras de hoy. El intento en esta línea de trabajo es analizar brevemente el problema epistemológico fundamental que surgió a finales del siglo XIX y principios del XX mediante el cual emerge la “cognición de la máquina”. Las raíces epistemológicas que se abordan en la MT y, en particular, en su “Problema de detención" ponen al descubierto la tensión entre el determinismo y la incertidumbre, que se consideran aquí como las características primordiales e inherentes de la cognición de la máquina.

Biografía del autor/a

Belen Prado, Leuphana Universität Lüneburg Institut für Kultur und Ästhetik Digitaler Medien (ICAM) Fakultät für Kulturwissenschaften
La presente trayectoria académica referente al marco teórico de investigación de evolución y desarrollo de los algoritmos de aprendizaje automático (reconocido como Machine Learning) se encuentra precedida por las siguientes titulaciones universitarias: formación como Magíster en Filosofía Política (Universidad de Buenos Aires- Facultad de Filosofía y Letras), Licenciada en Ciencia Política (Universidad de Buenos Aires- Facultad de Ciencias Sociales), Experto Universitario en Programación (Universidad Tecnológica Nacional) y cuatro años de estudio paralelo en la carrera de grado de Filosofía.  Estos breves eslabones académicos constituyen solo un aspecto representativo de varios años de trabajo, investigación, cooperación y participación en distintos ámbitos académicos y sociales relativos al campo de la denominada “inteligencia artificial”.


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