Abstract
Learning Disabilities (LD) constitute a diverse group of disorders in which children who generally possess at least average intelligence have problems processing information or generating output, i.e., LD may be interpreted as a neurologically-based processing problem. The causes and treatment of LD, namely reading disorders has been the subject of considerable thought and study. Being one among others, this is the reason why this work will focus on dyscalculia and in its different manifestations and how they may interfere with the children natural development. It will be assessed it in terms of a measurement of the child’s entropy, a thermodynamic quantity representing the unavailability of a child brain energy for conversion into mental work, and seen as the degree of disorder or randomness in the brain, i.e., lack of order or predictability; gradual decline into disorder; an arena where entropy reigns supreme. In one’s work it reigns in a specific interval, i.e., one may have two scenarios, namely the worst and the best one. The formal background will be grounded in the use of Logic Programming to set the architecture of a Function Machine to assess LD and built on base of a Deep Learning approach to Knowledge Representation and Reasoning.
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References
Kosc, L.: Developmental dyscalculia. J. Learn. Disabil. 7(3), 164–177 (1974)
Kakas, A.C., Kowalski, R.A., Toni, F.: The role of abduction in logic programming. In: Handbook of Logic in Artificial Intelligence and Logic Programming, pp. 235–324. Oxford University Press Inc., (1998)
Pereira, L.M., Anh, H.T.: Evolution prospection. In: Nakamatsu, K., Phillips-Wren, G., Jain, L.C., Howlett, R.J. (eds.) New Advances in Intelligent Decision Technologies: Results of the First KES International Symposium IDT 2009, pp. 51–63. Springer, Heidelberg (2009)
Neves, J., Machado, J., Analide, C., Abelha, A., Brito, L.: The halt condition in genetic programming. In: Neves, J., Santos, M.F., Machado, J.M. (eds.) Progress in Artificial Intelligence, pp. 160–169. Springer, Heidelberg (2007)
Ferreira Maia Neves, J.C.: A logic interpreter to handle time and negation in logic data bases. In: Proceedings of the 1984 Annual Conference of the ACM on the Fifth Generation Challenge - ACM 1984, pp. 50–54 (1984)
Ramalhosa, I., et al.: Diagnosis of Alzheimer disease through an artificial neural network based system. In: Advances in Intelligent Systems and Computing, pp. 162–174. Springer, Cham (2018)
Ferraz, F., Costa, A., Alves, V., Vicente, H., Neves, J., Neves, J.: Gaming in dyscalculia: a review on disMAT. In: Advances in Intelligent Systems and Computing, vol. 570, pp. 232–241 (2017)
Acknowledgements
This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.
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Ferraz, F., Neves, J., Alves, V., Vicente, H. (2019). Dyscalculia: A Behavioural Vision. In: Ntalianis, K., Croitoru, A. (eds) Applied Physics, System Science and Computers II. APSAC 2017. Lecture Notes in Electrical Engineering, vol 489. Springer, Cham. https://doi.org/10.1007/978-3-319-75605-9_28
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DOI: https://doi.org/10.1007/978-3-319-75605-9_28
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