Abstract
Cognitive phenomenology refers to the idea that our subjective experiences include deliberative thought processes and high-level cognition. The recent ascendance of cognitive phenomenology in philosophy has important implications for biologically-inspired cognitive architectures and the role that these models can play in understanding the fundamental nature of consciousness. To the extent that cognitive phenomenology occurs, it provides a new route to a deeper understanding of consciousness via neurocomputational studies of cognition. This route involves identifying computational correlates of consciousness in neurocomputational models of high-level cognitive functions that are associated with subjective mental states. Here we develop this idea and compile a summary of potential neurocomputational correlates of consciousness that have been proposed/recognized during the last several years based on biologically-inspired cognitive architectures. We conclude that the identification and study of computational correlates of consciousness will lead to a better understanding of phenomenal consciousness, a framework for creating a conscious machine, and a better understanding of the mind-brain problem in general.
Original language | English (US) |
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Pages (from-to) | 101-113 |
Number of pages | 13 |
Journal | Biologically Inspired Cognitive Architectures |
Volume | 17 |
DOIs | |
State | Published - Jul 1 2016 |
Externally published | Yes |
Keywords
- Artificial consciousness
- Cognitive phenomenology
- Computational explanatory gap
- Machine consciousness
- Phenomenal consciousness
ASJC Scopus subject areas
- Experimental and Cognitive Psychology
- Cognitive Neuroscience
- Artificial Intelligence