C-Causal Blindness An experimental computational framework on the isomorphic relationship between biological computation, artificial computation, and logic using weighted hidde
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This text concerns a particular flavor of cognitive blindness referred to as C-Causal Blindness, or C-CB. A blindness where the policy to obtain the objective leads to the state to be avoided. A literal example of C-CB would be Kurt Gödel's decision to starve for "fear of being poisoned" - take this to be premise A. The objective being "to avoid being poisoned (so as to not die)": C, the plan or policy being "don't eat": B, and the actual outcome having been "dying": not 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.
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