Abstract
This paper starts from summarizing different methods to study numerical cognition, from comparative to developmental, from experimental to simulative. Then the focus moves to different kinds of simulative models that are introduced together with the example of a simulative model applied to numerical representation and midpoint calculation: Midpoint. This software allows to study relevant bias in humans, such as the number interval position effect. Together with a detailed description of the software and the underlying model, some results are reported.
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Additional materials: More details about the model and the related code can be provided to whom is interested by emailing the authors Onofrio Gigliotta, Orazio Miglino or Michela Ponticorvo.
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Ponticorvo, M., Gigliotta, O., Miglino, O. (2017). Simulative Models to Understand Numerical Cognition. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) Natural and Artificial Computation for Biomedicine and Neuroscience. IWINAC 2017. Lecture Notes in Computer Science(), vol 10337. Springer, Cham. https://doi.org/10.1007/978-3-319-59740-9_8
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DOI: https://doi.org/10.1007/978-3-319-59740-9_8
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