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Title: AI for Technoscientific Discovery: A Human-Inspired Architecture

Journal Article · · Journal of Creativity (Online)

We present a high-level architecture for how artificial intelligences might advance and accumulate scientific and technological knowledge, inspired by emerging perspectives on how human intelligences advance and accumulate such knowledge. Agents advance knowledge by exercising a technoscientific method—an interacting combination of scientific and engineering methods. The technoscientific method maximizes a quantity we call “useful learning” via more-creative implausible utility (including the “aha!” moments of discovery), as well as via less-creative plausible utility. Society accumulates the knowledge advanced by agents so that other agents can incorporate and build on to make further advances. The proposed architecture is challenging but potentially complete: its execution might in principle enable artificial intelligences to advance and accumulate an equivalent of the full range of human scientific and technological knowledge.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Science (SC)
Grant/Contract Number:
230710; NA0003525
OSTI ID:
2311922
Alternate ID(s):
OSTI ID: 2311255
Report Number(s):
SAND-2024-01626J; S2713374524000037; 100077; PII: S2713374524000037
Journal Information:
Journal of Creativity (Online), Journal Name: Journal of Creativity (Online) Vol. 34 Journal Issue: 2; ISSN 2713-3745
Publisher:
ElsevierCopyright Statement
Country of Publication:
United Kingdom
Language:
English

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