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Cognitive processes in social interactions — A neural networks' approach

  • Cognitive Science and AI
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Biological and Artificial Computation: From Neuroscience to Technology (IWANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1240))

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Abstract

In a well controlled experimental situation, interpersonal relationships were studied using a double script model representation of the social situation that subjects were required to identify.

Results obtained in a group of normal volunteers subjects were analyzed. It is used an abductive model to describe the process of concept attainment by experimental subjects.

The interaction between partial attribute identifications and global characterizations of the simulated situations is described in the context of other psychological processes evoked by the interactions. A block diagram specifies the operations which are performed by a neural network model which implements the cognitive operations of a subject involved in the social interaction under study.

This work was partially supported by a grant from BIAL Foundation, OPorto, Portugal and by JNICT PBIC/TIT/2527/95

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José Mira Roberto Moreno-Díaz Joan Cabestany

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© 1997 Springer-Verlag Berlin Heidelberg

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Barahona da Fonseca, J., Barahona da Fonseca, I., Simöes da Fonseca, J. (1997). Cognitive processes in social interactions — A neural networks' approach. In: Mira, J., Moreno-Díaz, R., Cabestany, J. (eds) Biological and Artificial Computation: From Neuroscience to Technology. IWANN 1997. Lecture Notes in Computer Science, vol 1240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032526

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  • DOI: https://doi.org/10.1007/BFb0032526

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63047-0

  • Online ISBN: 978-3-540-69074-0

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