The synergies between understanding belief formation and artificial intelligence

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Abstract

Understanding artificial intelligence (AI) and belief formation have interesting bidirectional synergies. From explaining the logical derivation of beliefs and their internal consistency, to giving a quantitative account of mightiness, AI still has plenty of unexploited metaphors that can illuminate belief formation. In addition, acknowledging that AI should integrate itself with our belief processes (mainly, the capacity to reflect, rationalize, and communicate that is allowed by semantic coding) makes it possible to focus on more promising lines such as Interpretable Machine Learning.
Understanding artificial intelligence (AI) and belief formation have interesting bidirectional synergies. From explaining the logical derivation of beliefs and their internal consistency, to giving a quantitative account of mightiness, AI still has plenty of unexploited metaphors that can illuminate belief formation. In addition, acknowledging that AI should integrate itself with our belief processes (mainly, the capacity to reflect, rationalize, and communicate that is allowed by semantic coding) makes it possible to focus on more promising lines such as Interpretable Machine Learning.
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Materias, derechos, colecciones e identificadores

Subjects

32 Medicina

3201 Ciencias clínicas

320199 Otras especialidades (Enfermería)

58 Pedagogía

5802 Organización y planificación de la educación

Keywords

Instituto de Investigación Tecnológica (IIT), artificial intelligence, Belief, Machine bias, Complexity, reinforcement learning

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