Mnemonic Interfaces for Cognitive AI: Ontology-Based Knowledge and Neuro- Symbolic Reasoning

This project presents a prototype of a mnemonic interface that integrates ontological concept representation with adaptive hint delivery. The goal is to create a foundation for the development of cognitive intelligence in AI agents. At its core is a pharmacological terminology ontology and an algorithm for selecting mnemonic associations based on semantic proximity and contextual relevance. The prototype is implemented in Python with a basic web interface.