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.
Simulative Models to Understand Numerical Cognition / Ponticorvo, Michela; Gigliotta, Onofrio; Miglino, Orazio. - (2017), pp. 75-84. [10.1007/978-3-319-59740-9_8]
Simulative Models to Understand Numerical Cognition
PONTICORVO, MICHELA;GIGLIOTTA, Onofrio;MIGLINO, ORAZIO
2017
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
