Publication | Closed Access
Brain-Inspired Systems: A Transdisciplinary Exploration on Cognitive Cybernetics, Humanity, and Systems Science Toward Autonomous Artificial Intelligence
58
Citations
18
References
2020
Year
Artificial IntelligenceCognitive CyberneticsEngineeringTransdisciplinary ExplorationMultidisciplinary AiIntelligent SystemsSocial SciencesCognitive TechnologyCognitive ArchitectureBrain-inspired SystemsEthic Of Artificial IntelligenceCognitive ComputingCognitive SystemsCognitive ScienceDesignComputer ScienceBrain-computer InterfaceBrain-inspired Cognitive SystemsCognitive AutomationComputational NeuroscienceAutomationIntelligent Processing
Brain-inspired cognitive systems (BCSs) are an emerging field of cybernetics, cognitive science, and system science. BCSs study not only the intelligence science foundations of artificial intelligence (AI) and cognitive systems, but also formal models of the brain embodied by computational intelligence. This article presents the brain and intelligence science foundations of BCS toward hybrid intelligent systems and the symbiotic intelligence of humanity. It explores the transdisciplinary theoretical foundations of system, brain, intelligence, knowledge, cybernetic, and cognitive sciences toward the next generation of knowledge processors beyond classic data processors for autonomous computing systems. A BCS provides an overarching platform for cognitive cybernetics, humanity, and systems to enable emerging hybrid societies shared by humans and intelligent machines.
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