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Personality Determination of an Individual Through Neural Networks

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations (IPMU 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 853))

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Abstract

The use of neural networks is proposed in this article as a means of determining the personality of an individual. This research work comes in view of the necessity of combining two psychological tests for carrying out personnel selection. From the assessment of the first test known as 16 Personality Factor we can directly obtain an appraisal of the individual’s personality type as the one given by the Enneagram Test, which now does not need to be done. The two chosen tests are highly accepted by Human Resources Department in big companies as useful tools for selecting personnel when new recruitment comes up, for personnel promotion internal to the firm, for employees’ personal development and growing as a person. The (mathematical/computer science) model chosen to attain the research objectives is based on Artificial Neuron Networks.

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Notes

  1. 1.

    http://personalityandconsciousness.institute/personalityandconsciousness/.

  2. 2.

    https://www.facebook.com/personalityconsciousness/.

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Acknowledgements

This work has been supported by the project TIN201564776-C3-1-R.

Author information

Authors and Affiliations

  1. Department of Computer Science and Artificial Intelligence, University of Granada, 18071, Granada, Spain

    J. R. Sanchez & M. C. Pegalajar

  2. Software Engineering Department, University of Granada, ETSI Informatics and Telecommunication, 18071, Granada, Spain

    M. I. Capel

  3. Psychological Clinic Altea, Altea, Spain

    Celina Jiménez

  4. Foundation for the Development of Consciousness and Development Chair, University of Granada, Granada, Spain

    Gonzalo Rodriguez-Fraile

Authors
  1. J. R. Sanchez
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  2. M. I. Capel
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  3. Celina Jiménez
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  4. Gonzalo Rodriguez-Fraile
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  5. M. C. Pegalajar
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Corresponding authors

Correspondence to J. R. Sanchez or M. C. Pegalajar .

Editor information

Editors and Affiliations

  1. Universidad de Cádiz, Cádiz, Cadiz, Spain

    Jesús Medina

  2. Universidad de Málaga, Málaga, Málaga, Spain

    Manuel Ojeda-Aciego

  3. Universidad de Granada, Granada, Spain

    José Luis Verdegay

  4. Universidad de Granada, Granada, Spain

    David A. Pelta

  5. Universidad de Málaga, Málaga, Málaga, Spain

    Inma P. Cabrera

  6. LIP6, Université Pierre et Marie Curie, CNRS, Paris, France

    Bernadette Bouchon-Meunier

  7. Iona College, New Rochelle, New York, USA

    Ronald R. Yager

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Sanchez, J.R., Capel, M.I., Jiménez, C., Rodriguez-Fraile, G., Pegalajar, M.C. (2018). Personality Determination of an Individual Through Neural Networks. In: Medina, J., et al. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018. Communications in Computer and Information Science, vol 853. Springer, Cham. https://doi.org/10.1007/978-3-319-91473-2_5

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  • DOI: https://doi.org/10.1007/978-3-319-91473-2_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91472-5

  • Online ISBN: 978-3-319-91473-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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