DIAUTIS II: A Multi-agent Platform for the Diagnosis of Autism and the Design of Serious Games

Early-life onset of autism spectrum disorder results in substantial behavioural abnormalities. The evidence at hand show that the incidence of autism is rising alarmingly. The administration of the aids to which it refers, particularly those pertaining to learning, depends on early diagnosis.

The goal of DIAUTIS I is to support the clinical team, physicians, parents, guardians, and educational institutions in the diagnosis of this illness. The multi-agent system has a wide range of potential applications due to its ability to compute cognitively, fuzzy, and affectively, as well as due to its capacity to learn from experience. One of them involves gathering a range of test results, evaluating the child’s test results, and delivering a final diagnosis of the condition the child is suffering from and the severity of the problem. Test results demonstrate that DIAUTIS is capable of consistently and effectively completing a wide range of diagnostic procedures. Through a technique for the production of serious games based on four pillars: knowledge, affect, sensory, and pedagogy, DIAUTIS II increased the potential of DIAUTIS I. Using more than 80 templates, the methodology enables DIAUTIS II agents to create games while taking the child’s upbringing into consideration.

Author(s) Details:

Mohamed El-Alami,
Ecole Nationale de Sciences Appliquées, Université Abdelmalek Essaâdi, Tanger, Morocco.

Sara El-Khabbazi,
Ecole Nationale de Sciences Appliquées, Université Abdelmalek Essaâdi, Tanger, Morocco.

Najoua Tahiri,
Ecole Nationale de Sciences Appliquées, Université Abdelmalek Essaâdi, Tanger, Morocco.

Fernando de Arriaga,
School of Telecommunication Engineering, Polytechnic University of Madrid, Spain and School of Economics and Business, Spanish Open University (UNED), Madrid, Spain.

Please see the link here: https://stm.bookpi.org/COSTR-V4/article/view/8283

Keywords: Autism, diagnosis, autism aids, multi-agent systems, cognitive computing, fuzzy computing, affective computing

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