Abstract
AbstractThe modeling of biological phenomena and its adaptations to distributed computing are promising research areas. The computational modeling of neurobiological phenomena, such as cognition and consciousness, has potential for applications into bio-inspired distributed computing. The functioning of neurological structures is inherently distributed in nature having a closer match to distributed computing. This paper proposes a mathematical model of state of consciousness by following the functional neurophysiology as well as elements of distributed computing. The scopes of evolution of consciousness and memory are incorporated into the model. The nodal classifications and formation of structural hierarchy in distributed computing nodes by incorporating elements of cognitive model are investigated. Evaluation of the model is made by numerical simulation considering different choice functions. The results illustrate that, model of consciousness can be adapted to bio-inspired distributed computing struct...
Highlights
There are two different approaches to understand and model cognitive functions and consciousness
The computational model of consciousness can be constructed in view of distributed computing structures
A computational model of state of deterministic consciousness is constructed by following the functional neurophysiology and elements of distributed computing
Summary
There are two different approaches to understand and model cognitive functions and consciousness. The individual neurons in neuro-network implement computational mechanisms to achieve cognitive functions [26, 27, 29, 33]. The computational models of machine consciousness as well as artificial cognitive functions are proposed following artificial neural network and probabilistic reasoning employing Bayesian and hidden Markov models [30, 32, 34, 35, 36, 37]. The cognitive functions of brain generating consciousness are inherently a distributed computing mechanism, because the information processing happens at different locations in brain due to an input [7]. The model is composed of functional algebraic structures, where the nodes coordinate and implement information processing in distributed fashion. The nodes have memory and they evolve by storing information
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Computational Intelligence Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
