English

C-Causal Blindness

Artificial Intelligence 2025-03-04 v4 Logic

Abstract

This text is concerned with a hypothetical flavour of cognitive blindness referred to in this paper as \textit{C-Causal Blindness} or C-CB. A cognitive blindness where the policy to obtain the objective leads to the state to be avoided. A literal example of C-CB would be \textit{Kurt G\"odel's} decision to starve for \textit{"fear of being poisoned"} - take this to be premise \textbf{A}. The objective being \textit{"to avoid being poisoned (so as to not die)"}: \textbf{C}, the plan or policy being \textit{"don't eat"}: \textbf{B}, and the actual outcome having been \textit{"dying"}: ¬\lnot\textbf{C} - the state that G\"odel wanted to avoid to begin with. G\"odel pursued a strategy that caused the result he wanted to avoid. An experimental computational framework is proposed to show the isomorphic relationship between C-CB in brain computations, logic, and computer computations using a new proposed algorithm: a Weighted Hidden Markov Model.

Cite

@article{arxiv.2208.07143,
  title  = {C-Causal Blindness},
  author = {Gonçalo Hora de Carvalho},
  journal= {arXiv preprint arXiv:2208.07143},
  year   = {2025}
}

Comments

restructuring

R2 v1 2026-06-25T01:42:43.119Z