A Hybrid Evolutionary Algorithm for Evolving a Conscious Machine

  • Vijay A. KanadeEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 941)


The paper discloses a novel concept of developing a conscious machine. Human consciousness is a driving factor behind the presented concept. ‘Integrated Information Theory (IIT)’ is applied to the hardware circuits in order to make the circuit(s) with a certain configuration active/alive. We have used an evolutionary algorithm that combines ‘Evolvable Hardware’ with ‘Integrated Information Theory of Consciousness’ to develop a conscious set of machines. Evolvable hardware is simulated by using Darwin’s evolution theory that is related to Genetic Algorithms (GA). Further, IIT is integrated into the results of first GA so as to harness the consciousness factor in circuits with a certain circuit configuration. The results of the evolutionary algorithm are evaluated to validate the proposed concept.


Consciousness Integrated Information Theory (IIT) Hybrid evolutionary algorithm Field Programmable Gate Array (FPGA) Application Specific Integrated Circuit (ASIC) 



I would like to extend my sincere gratitude to Dr. A. S. Kanade for his relentless support during my research work.


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Authors and Affiliations

  1. 1.Intellectual Property and Research and DevelopmentEvalueserve (SEZ) Pvt. Ltd.New Delhi (NCR)India

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