Back to search

Article

Morphodynamic Meta-Cognition: A Framework for Self-Regulating Intelligence Systems

2026-05-12

Abstract excerpt

<title>Abstract</title> <p>Large language models (LLMs) have demonstrated strong performance in natural language reasoning and knowledge synthesis, yet they remain limited by a lack of robust mechanisms for self-regulation. In high-stakes domains, such as healthcare and law, these systems frequently exhibit overconfidence, incomplete uncertainty representation, and inconsistent handling of conflicting evidence. T...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
94c5b168-2e10-5cde-9cd2-c36442079c2d
DOI
10.21203/rs.3.rs-9641646/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Morphodynamic Meta-Cognition: A Framework for Self-Regulating Intelligence SystemsDOI 10.21203/rs.3.rs-9641646/v1
AM-RAF: An Agentic, Retrieval-Augmented, Uncertainty-Gated Framework for Trustworthy Clinical Decision Support in Resource-Constrained Health SystemsSemantic proximity
The Cognitive Safety Net: Comparing Human and AI Diagnostic Reasoning during Complex Clinical SituationsSemantic proximity
An Agentic OODA Framework for Transparent End to End Clinical Decision SupportSemantic proximity
CognAlign: A Multi-Agent Cognitive-Alignment Framework for Transparent, Bias-Aware Medical Triage Using Small Language ModelsSemantic proximity
The Inefficacy of Artificial Intelligence Large Language Models in Healthcare: A Clinical and Statistical PerspectiveSemantic proximity
Clinically grounded multi-agent artificial intelligence for preventive health managementSemantic proximity
Trustworthy Agentic AI: A Rapid, PRISMA-Informed Evidence Review of Safety, Explainability, Alignment, and Human Oversight in Autonomous AI SystemsSemantic proximity
An auditable, retrieval-grounded agent architecture improves medical accuracy and conversational safety in language modelsSemantic proximity
The Inefficacy of Artificial Intelligence Large Language Models in Healthcare: A Clinical and Statistical PerspectiveSemantic proximity
Generative and Agentic Artificial Intelligence for Medical Coding and Billing: A Human-in-the-Loop Architecture and EvaluationSemantic proximity
Multi-Agent Dynamic Refinement Outperforms Static RAG in Clinical Reasoning for Complex Nephrology CasesSemantic proximity
Agentic AI for Streamlining Title and Abstract Screening: Addressing Precision and evaluating calibration of AI guardrailsSemantic proximity
Select a neighboring publication to make it the new centre.