Enhanced Reconsideration System: A Mathematical Framework for Self-Correcting AI Memory Architecture with Temporal Decay and Consensus Validation
Traditional artificial intelligence systems suffer from a fundamental limitation: the inability to reconsider previously stored information when presented with contradictory evidence. This phenomenon, which we term nostalgic incorrectness, occurs when
Authors
- Sarah Chen (ORCID: https://orcid.org/0000-0002-9416-8191)
- Michael Rodríguez (ORCID: https://orcid.org/0000-0003-2919-5588)
- J. Edwards (ORCID: https://orcid.org/0009-0000-3414-7949)
Institutions
- Carnegie Mellon University (US)
Publication Details
- Published
- 2025-08-25
- DOI
- https://doi.org/10.36227/techrxiv.175616147.74048104/v1
- Primary Topic
- Distributed systems and fault tolerance
- Type
- article
- Field-Weighted Citation Impact
- 0.00