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A Model of Artificial Genotype and Norm of Reaction in a Robotic System

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From Animals to Animats 14 (SAB 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9825))

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Abstract

The genes of living organisms serve as large stores of information for replicating their behavior and morphology over generations. The evolutionary view of genetics that has inspired artificial systems with a Mendelian approach does not take into account the interaction between species and with the environment to generate a particular phenotype. In this paper, a genotype model is suggested to shape the relationship with the phenotype and the environment in an artificial system. A method to obtain a genotype from a population of a particular robotic system is also proposed. Finally, we show that this model presents a similar behavior to that of living organisms in what regards the concept of norm of reaction.

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Acknowledgements

This paper describes research done at the UJI Robotic Intelligence Laboratory. Support for this laboratory is provided in part by Ministerio de Economía y Competitividad (DPI2015-69041-R), by Generalitat Valenciana (PROMETEOII/2014/028) and by Universitat Jaume I (P1-1B2014-52, PREDOC/2013/06).

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Correspondence to Angel J. Duran .

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Duran, A.J., del Pobil, A.P. (2016). A Model of Artificial Genotype and Norm of Reaction in a Robotic System. In: Tuci, E., Giagkos, A., Wilson, M., Hallam, J. (eds) From Animals to Animats 14. SAB 2016. Lecture Notes in Computer Science(), vol 9825. Springer, Cham. https://doi.org/10.1007/978-3-319-43488-9_24

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  • DOI: https://doi.org/10.1007/978-3-319-43488-9_24

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