Explore/exploit strategic movement of co-occurrence network based on a conscious/subconscious model

Computation learning from living organisms should be useful for adapting to uncomputable problems in complex social systems. According to an interpretation of Gödel´s incompleteness theorems, a human is a “more than Turing computation (MTTC)” system consisting of a Turing machine represented as a computable recursive function and an environmental interaction represented as an oracle function. Recent findings from both science and philosophy show that a human is an autopoietic system that reproduces itself by recursion of consciousness and subconsciousness with self-reference and contingency. Using an approach combining MTTC and autopoiesis, we propose a conscious/subconscious model in which subconscious/necessary recursion and conscious/contingent recursion circulate doubly with environmental interaction. Application of this model to a web search with user interaction revealed that the co-occurrence network shows strategic movement in which the exploitation of known information is balanced against the exploration of unknown information. This movement indicates that our conscious/subconscious model is an MTTC/autopoietic system that improves the fitness for the uncomputable problem of ambiguous user expectation.