Autism Spectrum Differences: ASD and an Ordinary Life
- 1 Prag Consulting, Disability Complex Supports, Melbourne, Australia
Abstract
The starting point for many research articles on the topic of Autism Spectrum Disorders (ASD) includes the following phrase: “ASD is a neurodevelopmental disorder…” The author agrees that ASD is neurodevelopmental, and calls into question the word “disorder”, proposing that rather than being a disorder, autism and other neurodivergent traits are best understood as a way of utilizing the computational strengths of the human brain to adapt to the environments in which human beings live, learn, work and play. Building on research from the field of computational neuroscience, the author provides an alternative understanding of what it means to be autistic and how to best support people on the autism spectrum to successfully adapt to the world in which we all live.
- Minsky, M. (1961) Steps toward Artificial Intelligence. Proceedings of the IRE, 49, 8-30. https://doi.org/10.1109/JRPROC.1961.287775
- Minsky, M. (1985) Society of Mind. Simon & Schuster, New York.
- van Gerven, M. (2017) Computational Foundations of Natural Intelligence. Frontiers in Computational Neuroscience, 11, Article No. 112. https://doi.org/10.3389/fncom.2017.00112
- National Research Council (US) and Institute of Medicine (US) Committee on Integrating the Science of Early Childhood Development, Shonkoff, J.P. and Phillips, D.A. (2000) From Neurons to Neighborhoods: The Science of Early Childhood Development. National Academies Press (US), Washington DC. https://www.ncbi.nlm.nih.gov/books/NBK225562
- Cozolino, L. (2014) The Neuroscience of Human Relationships: Attachment and the Developing Social Brain. WW Norton & Company, New York.
- A LePoire, D. (2019) An Exploration of Historical Transitions with Simple Analogies and Empirical Event Rates. Journal of Big History, 3, 1-16. https://www.researchgate.net/publication/331270228_An_Exploration_of_Historical_Transitions_with_Simple_Analogies_and_Empirical_Event_Rates https://doi.org/10.22339/jbh.v3i2.3210
- Zablotsky, B. and Black, L.I. (2020) Prevalence of Children Aged 3-17 with Developmental Disabilities by Urbanicity: United States, 2015-2018. National Health Statistics Report, Number 139, United States Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, Hyattsville.
- Creanza, N. and Kolodny, O. (2017) Cultural Evolutionary Theory: How Culture Evolves and Why It Matters. Proceedings of the National Academies of Science, 114, 7782-7789. https://doi.org/10.1073/pnas.1620732114
- Scanlan, M. (2022) Reassessing the Disability Divide: Unequal Access as the World Is Pushed Online. Universal Access in the Information Society, 21, 725-735. https://doi.org/10.1007/s10209-021-00803-5
- Sahu, A. (2022) Hiring Autistic Workers: 4 Companies Embracing Neurodiversity in Tech. https://www.turing.com/blog/hiring-autistic-workers-neurodiversity-in-tech
- Bandura, A. (1978) The Self System in Reciprocal Determinism. American Psychologist, 33, 344-358. https://doi.org/10.1037/0003-066X.33.4.344
- Yoon, S., Munoz, A., Yamrom, B., et al. (2021) Rates of Contributory de Novo Mutation in High and Low-Risk Autism Families. Communications Biology, 4, Article No. 1026. https://doi.org/10.1038/s42003-021-02533-z