Abstract
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.
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References
Torresen, J.: An evolvable hardware (2004)
Joglekar, A., Tungare, M.: Gentic algorithms and their use in the design of evolvable hardware, 3 April 2000
Sekanina, L.: Evolvable hardware: from applications to implications for the theory of computation (2009)
Tononi, G., Sporns, O.: Measuring information integration, 02 December 2003
Kim, H., Hudetz, A.G., Lee, J., Mashour, G.A., Lee, U., ReCCognition Study Group: Estimating the integrated information measure phi from high-density electroencephalography during states of consciousness in humans, 16 February 2018
Vasicek, Z.: Bridging the gap between evolvable hardware and industry using cartesian genetic programming. In: Stepney, S., Adamatzky, A. (eds.) Inspired by Nature. Emergence, Complexity and Computation, vol. 28. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-67997-6_2
Sekanina, L.: Evolutionary hardware design (2011)
Acknowledgement
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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Kanade, V.A. (2020). A Hybrid Evolutionary Algorithm for Evolving a Conscious Machine. In: Abraham, A., Cherukuri, A., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 941. Springer, Cham. https://doi.org/10.1007/978-3-030-16660-1_102
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DOI: https://doi.org/10.1007/978-3-030-16660-1_102
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