Toward a Cognitive Data Model: Exploring a Mind-Inspired Approach to Database Design
Abstract
The Cognitive Data Model (CDM) is proposed. A novel approach to database design, inspired by the belief that the human brain operates with a logical data model independent of its anatomical structure. The study aims to identify and replicate this CDM to enhance database design, resolving limitations of the existing models in handling complex relationships, scalability, and adaptability. The methodology involves empirical observation, cognitive experiments, iterative modelling and critical thinking. Findings suggest that the information processing in the brain occurs sequentially with forming associations on atomic static data in a pairwise, time dependent manner. This insight led to the development of a meta framework for the brain's information processing to design CDM based on it. The CDM offers improved data modelling and database design, efficient querying, and potential applications in AI, machine learning, and big data analytics. Future research will focus on formalizing the model, implementing it in 3D environments, and developing a query language.
Cite
@article{arxiv.2503.20041,
title = {Toward a Cognitive Data Model: Exploring a Mind-Inspired Approach to Database Design},
author = {Dhammika Pieris},
journal= {arXiv preprint arXiv:2503.20041},
year = {2025}
}
Comments
15 pages, 2 figures