Implications of resource limitations for a conscious machine

Date

2009

Authors

Coward, L Andrew
Gedeon, Tamas (Tom)

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

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.

Description

Keywords

Keywords: Architectural concepts; Complex learnings; Complex systems; Consciousness; Human brains; Human consciousnesses; Information handlings; Information model; Information processes; Prior works; Resource limitations; Sub systems; System design; System resource Consciousness; Information model; System design; System resource architecture

Citation

Source

Neurocomputing

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

DOI

10.1016/j.neucom.2008.06.015

Restricted until

2037-12-31