C-Causal Blindness An experimental computational framework on the isomorphic relationship between biological computation, artificial computation, and logic using weighted hidden Markov models
| Autor: | de Carvalho, Gonçalo Hora |
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| Rok vydání: | 2022 |
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| Druh dokumentu: | Working Paper |
| Popis: | 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. Like many, 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 hidden Markov models. Comment: Changes to experimental methodology and general rewrite |
| Databáze: | arXiv |
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