Xue-Yan Zhang and Chang-Le Zhou. From Biological Consciousness to Machine Consciousness:An Approach to Make Smarter Machines. International Journal of Automation and Computing, vol. 10, no. 6, pp. 498-505, 2013. DOI: 10.1007/s11633-013-0747-4
Citation: Xue-Yan Zhang and Chang-Le Zhou. From Biological Consciousness to Machine Consciousness:An Approach to Make Smarter Machines. International Journal of Automation and Computing, vol. 10, no. 6, pp. 498-505, 2013. DOI: 10.1007/s11633-013-0747-4

From Biological Consciousness to Machine Consciousness:An Approach to Make Smarter Machines

  • Consciousness research has been of great concern to philosophers, psychologists and neuroscientists in recent years. At the same time, consciousness has also attracted more and more interest of artificial intelligence (AI) researchers. In order to make more intelligent machines, many computing models of machine consciousness have been presented. Furthermore, self-consciousness has relevance to the level of intelligent functions. Hence, it is necessary to study self-consciousness in AI. This thesis, starting from biological consciousness, discusses some viewpoints of machine consciousness. Based on the discussions, we present a way to emulate self-consciousness and test this method via simulation experiments. Our results indicate that self-consciousness, which belongs to organisms, can be imitated by machines.
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