A Modular Cognitive Architecture for Assisted Reasoning: The Nemosine Framework
Edervaldo Melo

TL;DR
The Nemosine Framework is a modular cognitive architecture designed to facilitate assisted reasoning and systematic analysis through specialized cognitive modules, aiming to enhance problem-solving and decision-making processes.
Contribution
It introduces a formal, modular architecture combining metacognition and distributed cognition principles, with detailed specifications for future computational implementations.
Findings
Framework supports structured reasoning tasks.
Formal specifications ensure internal consistency.
Design promotes reproducibility and modularity.
Abstract
This paper presents the Nemosine Framework, a modular cognitive architecture designed to support assisted reasoning, structured thinking, and systematic analysis. The model operates through functional cognitive modules ("personas") that organize tasks such as planning, evaluation, cross-checking, and narrative synthesis. The framework combines principles from metacognition, distributed cognition, and modular cognitive systems to offer an operational structure for assisted problem-solving and decision support. The architecture is documented through formal specification, internal consistency criteria, and reproducible structural components. The goal is to provide a clear conceptual basis for future computational implementations and to contribute to the study of symbolic-modular architectures for reasoning.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPersona Design and Applications · AI-based Problem Solving and Planning · Psychiatry, Mental Health, Neuroscience
