C-Causal Blindness

This text is concerned with a hypothetical flavour of cognitive blindness referred to in this paper as $\mathit{\text{C-Causal}}\mathit{\text{Blindness}}$ 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 $\mathit{\text{Kurt}}\mathit{\text{G}}\ddot{\mathit{\text{o}}}\mathit{\text{del’s}}$ decision to starve for $\mathit{\text{"fear}}\mathit{\text{of}}\mathit{\text{being}}\mathit{\text{poisoned"}}$ - take this to be premise $\mathbf{\text{A}}$. The objective being $\mathit{\text{"to}}\mathit{\text{avoid}}\mathit{\text{being}}\mathit{\text{poisoned}}\mathit{\text{(so}}\mathit{\text{as}}\mathit{\text{to}}\mathit{\text{not}}\mathit{\text{die)"}}$: $\mathbf{\text{C}}$, the plan or policy being $\mathit{\text{"don’t}}\mathit{\text{eat"}}$: $\mathbf{\text{B}}$, and the actual outcome having been $\mathit{\text{"dying"}}$: $\mathrm{\neg }$$\mathbf{\text{C}}$ - the state that Gödel wanted to avoid to begin with. 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 a new proposed algorithm: a Weighted Hidden Markov Model.