Abstract
The design philosophy of convergence knowledge aims for the fusion of natural and social sciences. However, the concept pursued by Western nations—namely, forming a "collective aggregates of knowledge" within the 'Transdisciplinary' domain—faces numerous challenges & solutions. For example, verifying what exactly this "collective aggregates of knowledge" comprises is no easy task. Furthermore, opportunities for its visualization and public disclosure are not disclosed, and it often remains unclear what kind of knowledge field actually constitutes.
Despite these challenges, "integrated knowledge" is deepening within modern social systems as a form of "shared knowledge" akin to new groupware or specific team-ware. Particularly within the "interconnected 'Ba' for creators, users, and disposers," combining information infrastructure like generative AI is enabling the “visualization of trans-intelligence throughout co-innovation.” Even when employing selection judgments akin to "resilient ecosystems", while incorporating measures to avoid vulnerabilities arising from disagreements in consensus-building during the initial stages of "Koto (matter, thing, difference)," consensus-building to trace the network of "Mono (object, information, entity)" will remain indispensable.
