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Jacobian

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papersSEP 10 04:00 UTC

Gradland paper links gradient structure to phenomenal experience in neural networks

A newly posted arXiv paper in cs.AI hypothesizes that the structure of phenomenal experience mirrors the first-order structure of physical interactions, mathematically captured by gradients or Jacobians. The authors develop this idea within an idealized world called Gradland, inhabited by neural networks. The work is a theoretical contribution to discussions of machine consciousness rather than an empirical study.

consciousness/theory/neural-networks/philosophy