Logical Evaluation of Consciousness: For Incorporating Consciousness into Machine Architecture
arXiv Preprint Archive February 1, 2010 via arXiv
Summary
Machine Consciousness is examined from biological, philosophical, mathematical, and physical perspectives to design a programmable system architecture that behaves consciously like a biological model. A definition of consciousness is developed, characterized by four parameters: parasitic, symbiotic, self-referral, and reproduction. A biologically inspired consciousness architecture is proposed with four layers—quantum, cellular, organ, and behavioral—and the characteristics of consciousness are traced at each layer. Physical and algorithmic architectures are estimated to devise a system that can behave consciously.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Cs.ai Artificial consciousness Machine consciousness Cognitive architectures Biologically-inspired computing |
| Key finding | A definition of consciousness with four parameters and a biologically inspired four-layer architecture for machine consciousness are proposed. |
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.