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An Adaptive Model for Dynamics of Desiring and Feeling Based on Hebbian Learning

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6334))

Abstract

Within cognitive models, desires are often considered as functional concepts that play a role in efficient focusing of behaviour. In practice a desire often goes hand in hand with having certain feelings. In this paper by adopting neurological theories a model is introduced incorporating both cognitive and affective aspects in the dynamics of desiring and feeling. Example simulations are presented, and both a mathematical and logical analysis is included.

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Bosse, T., Hoogendoorn, M., Memon, Z.A., Treur, J., Umair, M. (2010). An Adaptive Model for Dynamics of Desiring and Feeling Based on Hebbian Learning. In: Yao, Y., Sun, R., Poggio, T., Liu, J., Zhong, N., Huang, J. (eds) Brain Informatics. BI 2010. Lecture Notes in Computer Science(), vol 6334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15314-3_3

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  • DOI: https://doi.org/10.1007/978-3-642-15314-3_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15313-6

  • Online ISBN: 978-3-642-15314-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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