Cognitive function synthesis: preliminary results

Cognitive function synthesis: preliminary results

Purpose This paper aims to introduce the cognitive function synthesis (CFS) conceptual framework to artificial general intelligence. CFS posits that at the “core” of intelligence in hybrid architectures, “interdependent” cognitive functions are synthesised through the interaction of various associat...

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Bibliographic Details
Published in:Kybernetes Vol. 46; no. 2; pp. 272 - 290
Main Authors: Pounder, Gerard A.J., Ellis, Ruel L.A., Fernandez-Lopez, Gerardo
Format: Journal Article
Language:English
Published: London Emerald Publishing Limited 06-02-2017
Emerald Group Publishing Limited
Subjects:
Artificial intelligence
Associative memory
Behavior
Cognitive ability
Consciousness
Distributed memory
Hybrid systems
Memory
Microelectromechanical systems
Neural networks
Noise reduction
Planning
Robotics
Robots
Sensors
Synthesis
Hybrid architectures
Consciousness
Imagination
Artificial general intelligence
Autonomous feature extraction
Cognitive function synthesis
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Summary:Purpose This paper aims to introduce the cognitive function synthesis (CFS) conceptual framework to artificial general intelligence. CFS posits that at the “core” of intelligence in hybrid architectures, “interdependent” cognitive functions are synthesised through the interaction of various associative memory (AM)-based systems. This synthesis could form an interface layer between deliberative/symbolic and reactive/sub-symbolic layers in hybrid cognitive architectures. Design/methodology/approach A CFS conceptual framework, specifying an arrangement of AMs, was presented. The framework was executed using sparse distributed memory. Experiments were performed to investigate CFS autonomous extraction, consciousness and imagination. Findings Autonomous extraction was achieved using data from a Wi-Fi camera with the CFS auto-associative AM handling “Sensor Data”. However, noise reduction degraded the extracted image. An environment, simulated in V-REP 3.3.1, was used to investigate consciousness and imagination. CFS displayed consciousness by successfully tracking/anticipating the object position with over 90 per cent congruence. CFS imagination was seen by its predicting two time steps into the future. Originality/value Preliminary results demonstrate the plausibility of CFS claims for autonomous extraction, consciousness and imagination.
ISSN:0368-492X
1758-7883
DOI:10.1108/K-01-2015-0038