Towards an integrative computational foundation for applied behavior analysis in early autism interventions

Edmon Begoli, Cristi L. Ogle, David F. Cihak, Bruce J. MacLennan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education - 16th International Conference, AIED 2013, Proceedings
PublisherSpringer Verlag
Pages888-891
Number of pages4
ISBN (Print)9783642391118
DOIs
StatePublished - 2013
Externally publishedYes
Event16th International Conference on Artificial Intelligence in Education, AIED 2013 - Memphis, TN, United States
Duration: Jul 9 2013Jul 13 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7926 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Artificial Intelligence in Education, AIED 2013
Country/TerritoryUnited States
CityMemphis, TN
Period07/9/1307/13/13

Keywords

  • Applied behavior analysis
  • Autism
  • Intelligent agents
  • Knowledge representation
  • Ontology

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