Biologically Inspired Intelligent Machine and Its Correlation to Free Will

Abstract

Human behavior is a complex combination of emotions, upbringing, experiences, genetics, and evolution. Attempts to fathom it have been a long sought-after human endeavor, and it still remains a mystery when it comes to actually interpreting or deriving it. One such trait, free will, or an ability to non-deterministically act without any external motivation has been one such instinct which has remained an enigma as so far as when it comes to fully understanding its genesis. Two schools of thoughts prevail, and both have attempted to understand this elusive quality. One school that has a long history has been exploring from the perspective of metaphysics, while the other one interprets it using rational science that includes biology, computing, and neuroscience. With the advent of artificial neural networks (ANN), a beginning has been made to computationally represent the biological neural structure. Despite the ANN technology in its infancy especially when it comes to actually mimic the human brain, major strides are self-evident in the field of object recognition, natural language processing, and other fields. On the other end of the spectrum, persistent efforts to understand let alone simulate the biologically derived unpredictability in thoughts and actions is still a far cry. This work aims to identify the subtle connections or hints between the biological derived unpredictability and the ANNs. Even an infinitesimal progress in this domain shall open the flood gates for more emotive human-like robots, better human-machine interface, and an overall spin-off in many other fields including neuroscience. Keywords Free will • Artificial neural network • Consciousness 1 Unpredictability and Its Genesis The main tenet of unpredictability in each of the animal's action or behavior is its evolutionary process [1, 2]. It is widely noticed in both the flora and the fauna that those species which were not able to change and adapt, dwindled, and few of them