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Logical Evaluation of Consciousness: For Incorporating Consciousness into Machine Architecture

C. N. Padhy, R. R. Panda

arXiv Preprint Archive February 1, 2010 preprint

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AI-extracted from the abstract
Characteristics Theoretical or philosophical paper
Keywords Cs.ai Artificial consciousness Machine consciousness Cognitive architectures Biologically-inspired computing
Key points Proposes a definition of consciousness with four parameters (parasitic, symbiotic, self-referral, reproduction) and a four-layer biologically inspired architecture for machine consciousness.

Abstract

Machine Consciousness is the study of consciousness in a biological, philosophical, mathematical and physical perspective and designing a model that can fit into a programmable system architecture. Prime objective of the study is to make the system architecture behave consciously like a biological model does. Present work has developed a feasible definition of consciousness, that characterizes consciousness with four parameters i.e., parasitic, symbiotic, self referral and reproduction. Present work has also developed a biologically inspired consciousness architecture that has following layers: quantum layer, cellular layer, organ layer and behavioral layer and traced the characteristics of consciousness at each layer. Finally, the work has estimated physical and algorithmic architecture to devise a system that can behave consciously.

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