Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
38th (2024)
Session ID : 2K6-OS-20b-04
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A Roadmap for the Datafication of Comprehensive Anatomical Knowledge of the Brain
Toward the Automation of Brain-Inspired Software Development
*Yuta ASHIHARAIriya HORIGUCHIHiroshi YAMAKAWA
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Abstract

Brain Reference Architecture (BRA) Driven Development is an approach to create human-like artificial intelligence by learning from the architecture of the brain as a whole. In BRA-driven development, Brain Information Flow (BIF) – a datafication of the brain's mesoscopic anatomical knowledge – is utilized to design a Hypothetical Component Diagram (HCD), which is a tentative functional component structure. The anatomical coherence of the HCD is ensured by its relationship with BIF. Hence, to accelerate BRA-driven development and design diverse HCDs, it is crucial to construct BIFs for each region of the entire brain. Given the vast and varied existing anatomical knowledge, covering the entire brain with BIF requires techniques for automatically and efficiently constructing BIF from neuroscientific literature. Therefore, this presentation proposes a roadmap for the necessary technology and its realization process to automate the construction of BIF.

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© 2024 The Japanese Society for Artificial Intelligence
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