The paper defines self-identity as a continuous mapping over a connected memory continuum and reports that LoRA fine-tuning on synthetic memories increases a GPT-4o-mini-judged self-awareness score, but the mathematical theorem is circular and the metric is a proxy for self-report.
Multisensorial generative and descriptive self-awareness models for autonomous systems.Proceedings of the IEEE, 108(7):987–1010, 2020
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Emergence of Self-Identity in AI: A Mathematical Framework and Empirical Study with Generative Large Language Models
The paper defines self-identity as a continuous mapping over a connected memory continuum and reports that LoRA fine-tuning on synthetic memories increases a GPT-4o-mini-judged self-awareness score, but the mathematical theorem is circular and the metric is a proxy for self-report.