Distributed Computation using Evolutionary Consciousness : An Approach

DOI

10.1080/18756891.2015.1099897How to use a DOI?

Keywords

Cognition, consciousness, bio-inspired computing, distributed computing, fuzzy logic

Abstract

The 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 structures and the gradual evolution of consciousness is deterministic under fair excitations from environment.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Susmit Bagchi
PY  - 2015
DA  - 2015/09/01
TI  - Distributed Computation using Evolutionary Consciousness : An Approach
JO  - International Journal of Computational Intelligence Systems
SP  - 928
EP  - 942
VL  - 8
IS  - 5
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2015.1099897
DO  - 10.1080/18756891.2015.1099897
ID  - Bagchi2015
ER  -