Commenced in January 2007
Paper Count: 31103
Exploration of Autistic Children using Case Based Reasoning System with Cognitive Map
Abstract:Exploring an autistic child in Elementary school is a difficult task that must be fully thought out and the teachers should be aware of the many challenges they face raising their child especially the behavioral problems of autistic children. Hence there arises a need for developing Artificial intelligence (AI) Contemporary Techniques to help diagnosis to discover autistic people. In this research, we suggest designing architecture of expert system that combine Cognitive Maps (CM) with Case Based Reasoning technique (CBR) in order to reduce time and costs of traditional diagnosis process for the early detection to discover autistic children. The teacher is supposed to enter child's information for analyzing by CM module. Then, the reasoning processor would translate the output into a case to be solved a current problem by CBR module. We will implement a prototype for the model as a proof of concept using java and MYSQL. This will be provided a new hybrid approach that will achieve new synergies and improve problem solving capabilities in AI. And we will predict that will reduce time, costs, the number of human errors and make expertise available to more people who want who want to serve autistic children and their families.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1073575Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1668
 de Agentes Fsicos, R., Guidelines to apply CBR in real-time multi-agent systems. JOURNAL OF PHYSICAL AGENTS, 2009.
 Cognitive Mapping. 2008
[cited; Available from: http://intraspec.ca/cogmap.php.
 AITopics. Case Based Reasoning CBR 2010
[cited; Available from: http://www.aaai.org/AITopics/pmwiki/pmwiki.php/AITopics/CaseBased Reasoning.
 Prentzas, J. and I. Hatzilygeroudis, Categorizing approaches combining rule-based and case-based reasoning. Expert Systems-International Journal of Knowledge Engineering, 2007. 24(2): p. 97-122.
 Plotnick, E., Concept mapping: A graphical system for understanding the relationship between concepts: An ERIC digests. ERIC Document Reproduction Service No. ED407938, 1997.
 Cormen, T.H., Introduction to algorithms. 2001: The MIT press.
 Mohamed, A.O., et al. Attention analysis in interactive software for children with autism. 2006: ACM.
 Thompson, L. and M. Thompson. Quantitative Electroencephalogram (QEEG) Findings & Neurofeedback Training. 2009
[cited; Available from: http://www.addcentre.com/Pages/Autism/Texas07autism.htm.
 Melaka, M. ESSE: Learning Disability Classification System for Autism and Dyslexia. 2009: Springer-Verlag New York Inc.
 Marling, C., E. Rissland, and A. Aamodt, Integrations with case-based reasoning. The Knowledge Engineering Review, 2006. 20(03): p. 241- 245.
 Sehaba, K., V. Courboulay, and P. Estraillier, Interactive system by observation and analysis of behavior for children with autism. Technology and Disability, 2007: p. 181-188.