Edwards, Darren J. , Functional Contextual Implementation of an Evolutionary, Entropy-Based, and Embodied Free Energy Framework: Utilizing Lagrangian Mechanics and Evolutionary Game Theory’s Truth vs. Fitness Test of the Veridicality of Phenomenological Experience

ID: b7830cf2-06cd-464e-a232-5fa589047bf8
ROAM_REFS: @edwardsFunctionalContextualImplementation2023
REVIEW_SCORE: 0.0
MTIME: [2024-12-25 Wed 15:54]

Transdisciplinary paper arguing that evolution does not select brains towards veridicality, but rather towards evolutionary fitness. The abstract claims to tie it in with predictive processing ideas.

Questions before I read:

• is truth fit?
• how are you characterising fitness? in what environments?
• do you narrow your idea of fitness enough to be computationally useful? (I'd be surprised. this is too broad a paper.)
• Related concepts for which I'd like to clarify the relationship further:
  • predictive processing
  • satisficing
  • adversarial neural networks
  • coevolution
  • exaptation (in particular, because of the way the introduction discusses the tapetum lucidum; and also because I think exaptation is cool and useful)

This node is a singleton!