A validation and traceability framework using data checks, logical consistency, constraint verification, and atomic reasoning units to improve reliability of AI telescope scheduling decisions.
Artificial Intelligence in Astronomical Optical Telescopes: Present Status and Future Perspectives.Universe2024,10, 210
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Multi-Level Validation and Traceability Framework for AI-Generated Telescope Scheduling Decisions
A validation and traceability framework using data checks, logical consistency, constraint verification, and atomic reasoning units to improve reliability of AI telescope scheduling decisions.