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Quote by Maxime Lagacé

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Maxime Lagacé

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“Our brain is therefore not simply passively subjected to sensory inputs. From the get-go, it already possesses a set of abstract hypotheses, an accumulated wisdom that emerged through the sift of Darwinian evolution and which it now projects onto the outside world. Not all scientists agree with this idea, but I consider it a central point: the naive empiricist philosophy underlying many of today's artificial neural networks is wrong. It is simply not true that we are born with completely disorganized circuits devoid of any knowledge, which later receive the imprint of their environment. Learning, in man and machine, always starts from a set of a priori hypotheses, which are projected onto the incoming data, and from which the system selects those that are best suited to the current environment. As Jean-Pierre Changeux stated in his best-selling book Neuronal Man (1985), “To learn is to eliminate.”

MindPhilosophyBrainLearningIntelligenceStatisticsArtificial IntelligenceA PrioriA Priori Conceptualization
Book:How We Learn: Why Brains Learn Better Than Any Machine . . . for Now
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“Ontological Fourier mathematics is the complete mathematical explanation of Cartesian philosophy. It converts a substance dualism into a dual-aspect substance monism. There is only one substance - mathematics - but it can exist both dimensionlessly (as mind) and dimensionally (as matter, the product of mind). Mind adds the framing dimensions of space (extended real numbers) and time (extended imaginary numbers) to the unextended real and imaginary numbers of the frequency domain. (Ontologically, frequencies are not in space and time. They are instead the source of space and time).”

MindMatterPhilosophyOntological Mathematics
Book:Transconsciousness
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