Human Life is Like a Virtual Game with an Evolutionary Aim

Abstract

It is well known that our mind can perceive the world around us in a limited, distorted and sometimes virtual way. In this regard, a cognitive theory speculated that human beings can evolve in a Darwinian way in order to fit their daily tasks, instead of demanding the truth. Moreover, that theory renounced questioning about the world inside us, I.e. the brain-mind relationship. This question was faced by “The Bignetti Model” (TBM), starting from the evidence that: 1) Since the birth, the mind emerges from the brain as a Tabularasa; 2) Free will (FW) and then also the FW-possessing Ego are illusions of the mind; 3) The mind exhibits a functional dual state: UM) the unconscious (implicit) mind that is characterized by a biophysical-biochemical language; CM) the conscious (explicit) mind that corresponds to the thinking function, typically elaborating inner-outer speech (based on the mother’s tongue language), images, music, mathematics etc.; 4) UM and CM exhibit the same probabilistic-deterministic mechanism of the brain and cooperate for cognition and behaviour, to this aim they reciprocally translate their languages by a mysterious way. According to TBM, UM reacts to perturbing stimuli (the so-called “voluntary actions”); later, their feedback signals make CM aware. Due to the illusion of possessing FW (Ego- FW), CM believes of deciding those reactions (the Sense-of-Responsibility); then, CM critically uploads credits or faults of the experience just lived into Long-Term-Memory (LTM). Thus, UM will find useful pieces of information for future reactions. In synthesis, our life is like a virtual game in which UM is the avatar that moves in the game; while CM is the player; by learning and memorizing the avatar’s “prior” action probability, the player will increase the success of the avatar’s “posterior” action probability. The mechanism of our virtual life is in accordance with Bayesian learning theory. In conclusion, the more sophisticated is CM’s reasoning of animal species, the higher they will evolve.