Towards an Integrative Computational Foundation for Applied Behavior Analysis in Early Autism Interventions
Applied Behavior Analysis-based early interventions are evidence based, efficacious therapies for autism. They are, however, labor intensive and often inaccessible at the recommended levels. In this paper we present ongoing doctoral research aimed at development of the formal, computational representation for Applied Behavior Analysis (ABA) that could serve as a reasoning foundation for intelligent-agent mediated ABA therapies. Our approach is to formulate the representation of ABA dynamics and concepts as a process ontology expressed in a controlled natural language (CNL). As an ontology language, CNL is not only a machine interpretable, logically sound reasoning foundation, but also understandable and editable by human users.
KeywordsApplied behavior analysis knowledge representation autism ontology intelligent agents
Unable to display preview. Download preview PDF.
- 1.American Psychiatric Association: Pervasive developmental disorders. In: Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR), 4th edn., pp. 69–70. American Psychiatric Association, Washington, DC (2000)Google Scholar
- 2.Baio, J.: Prevalence of autism spectrum disorders: Autism and developmental disabilities monitoring network, 14 sites, United States (2008); Morbidity and mortality weekly report. Surveillance Summaries 61(3). Centers for Disease Control and Prevention (2012)Google Scholar
- 4.Voos, A.C., Pelphrey, K.A., Tirrell, J., Bolling, D.Z., Wyk, B.V., Kaiser, M.D., McPartland, J.C., Volkmar, F.R., Ventola, P.: Neural mechanisms of improvements in social motivation after pivotal response treatment: Two case studies. Journal of autism and developmental disorders, 1–10 (2012)Google Scholar
- 5.National Research Council (US). Committee on Educational Interventions for Children with Autism: Educating children with autism. National Academies Press (2001)Google Scholar
- 6.Wise, M., Little, A., Holliman, J., Wise, P., Wang, C.: Can state early intervention programs meet the increased demand of children suspected of having autism spectrum disorders? Journal of Developmental & Behavioral Pediatrics 31(6), 469–476 (2010)Google Scholar
- 7.Feil-Seifer, D., Mataric, M.: Defining socially assistive robotics. In: IEEE 9th International Conference on Rehabilitation Robotics, ICORR 2005, pp. 465–468 (2005)Google Scholar
- 9.Cooper, J., Heron, T., Heward, W.L.: Applied Behavior Analysis. Prentice Hall (2007)Google Scholar
- 10.Suárez-Figueroa, M., Gómez-Pérez, A., Motta, E., Gangemi, A.: Introduction: Ontology engineering in a networked world. Ontology Engineering in a Networked World, 1–6 (2012)Google Scholar
- 11.Kuhn, T.: Controlled English for Knowledge Representation. PhD thesis, Faculty of Economics, Business Administration and Information Technology of the University of Zurich (2010)Google Scholar
- 13.Gruninger, M., Fox, M.: The role of competency questions in enterprise engineering. In: Proceedings of the IFIP WG5, vol. 7, pp. 212–221 (1994)Google Scholar