Distributed Computation using Evolutionary Consciousness : An Approach

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 neu...

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Vydáno v:International journal of computational intelligence systems Ročník 8; číslo 5; s. 928 - 942
Hlavní autor: Bagchi, Susmit
Médium: Journal Article
Jazyk:angličtina
Vydáno: Dordrecht Springer Netherlands 01.01.2015
Springer Nature B.V
Atlantis Press
Springer
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ISSN:1875-6891, 1875-6883, 1875-6883
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Shrnutí: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.
Bibliografie:ObjectType-Article-1
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ISSN:1875-6891
1875-6883
1875-6883
DOI:10.1080/18756891.2015.1099897