A Modular Cognitive Architecture for Assisted Reasoning: The Nemosine Framework
This work addresses the need for structured thinking tools in problem-solving domains, but it is incremental as it builds on existing principles from metacognition and modular systems without introducing new computational implementations.
The paper tackles the problem of assisted reasoning by proposing the Nemosine Framework, a modular cognitive architecture that organizes tasks like planning and evaluation through functional modules, with the result being a formally specified and reproducible structure aimed at supporting systematic analysis and decision-making.
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.