Pattern Thinking
The World in My Mind, My Mind in the World
The World in My Mind, My Mind in the World
The Architecture of Virtual Machines
Computer
Robot Brains: Circuits and Systems for Conscious Machines
Robot Brains: Circuits and Systems for Conscious Machines
The recommendation architecture: lessons from large-scale electronic systems applied to cognition
Cognitive Systems Research
Face recognition by independent component analysis
IEEE Transactions on Neural Networks
Toward a Unified Catalog of Implemented Cognitive Architectures
Proceedings of the 2010 conference on Biologically Inspired Cognitive Architectures 2010: Proceedings of the First Annual Meeting of the BICA Society
Brain anatomy and artificial intelligence
AGI'11 Proceedings of the 4th international conference on Artificial general intelligence
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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.