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An attempt at decrypting and understanding ASD language logic based on BERT with GPipe
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Description
<jats:p>Autism spectrum disorder (ASD) has always been a mysterious cognition phenomenon that has yet to be solved and understood, as it is believed that ASD has a complex relationship with intelligence. Language can be seen as one way of manifesting intelligence. This paper wonders if decrypting and understanding ASD language logic gives a new answer to the ultimate question: Will Artificial Intelligence understand language? If they can, can they understand ASD language? If they cannot, would ASD language logic show a possible new path for AI to understand language? This paper uses BERT with GPipe, as BERT is well known for its language understanding abilities. This paper explores why there has not been any research in the field until now, as it later discovered there may be a phenomenon, neurotypical observer bias, that blinded views into knowing that thinking from an ASD perspective is something that exists. As test results, BERT is suspected to have possible neurotypical observer bias.</jats:p>
Journal
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- Applied and Computational Engineering
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Applied and Computational Engineering 41 171-175, 2024-02-22
EWA Publishing
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Details 詳細情報について
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- CRID
- 1874242817968675712
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- ISSN
- 2755273X
- 27552721
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- Data Source
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- OpenAIRE