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 Gödel'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 Gödel wanted to avoid to begin with. Like many, Gödel 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 hidden
Markov models.

论文讨论了一种假设的认知盲点 ——C-CB，以及在大脑计算、逻辑和计算机计算中使用隐含马尔可夫模型展示了它们之间的同构关系。

C - 因果盲区：一种基于加权隐马尔可夫模型的实验性计算框架，研究生物计算、人工计算和逻辑之间的同构关系

C-Causal Blindness An experimental computational framework on the isomorphic relationship between biological computation, artificial computation, and logic using weighted hidden Markov models