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Implications of resource limitations for a conscious machine. Neurocomputing (2008)
| Venue: | ICONIP |
| Citations: | 2 - 1 self |
BibTeX
@ARTICLE{Coward08implicationsof,
author = {L. Andrew Coward and Tamas O. Gedeon},
title = {Implications of resource limitations for a conscious machine. Neurocomputing},
journal = {ICONIP},
year = {2008}
}
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Abstract
A machine with human like consciousness would be an extremely complex system. Prior work has demonstrated that the way in which information handling resources are organized (the resource architecture) in an extremely complex learning system is constrained within some specific bounds if the available resources are limited, and that there is evidence that the human brain has been constrained in this way. An architectural concept is developed for a conscious machine that is within the architectural bounds imposed by resource limitations. This architectural concept includes a resource driven architecture, a description of how conscious phenomena would be supported by information processes within that architecture, and a description of actual implementations of the key information processes. Other approaches to designing a conscious machine are reviewed. The conclusion is reached that although they could be capable of supporting human consciousness-like phenomena, they do not take into account the architectural bounds imposed by resource limitations. Systems implemented using these approaches to learn a full range of cognitive features including human like consciousness would therefore require more information handling resources, could have difficulty learning without severe interference with prior learning, and could require add-on subsystems to support some conscious phenomena that emerge naturally as consequences of a resource driven architecture. Key words: consciousness; information model; system resource architecture; system design
Keyphrases
resource limitation conscious machine conscious phenomenon resource driven architecture information handling resource architectural bound architectural concept system design key word human brain complex system add-on subsystem information process full range human consciousness-like phenomenon key information process actual implementation specific bound system resource architecture complex learning system available resource information model resource architecture prior work severe interference prior learning cognitive feature
