Towards an Intelligent Database System Founded on the SP Theory of Computing and Cognition

TL;DR

This paper explores the SP theory of computing and cognition as a foundation for an intelligent database system, highlighting its versatility, AI capabilities, and potential for industrial application.

Contribution

It demonstrates how the SP model can emulate existing database models and integrates AI features, proposing a pathway toward robust, intelligent database systems.

Findings

SP model can emulate traditional database models

The SP system exhibits versatile knowledge representation

Potential for developing industrial-strength intelligent databases

Abstract

The SP theory of computing and cognition, described in previous publications, is an attractive model for intelligent databases because it provides a simple but versatile format for different kinds of knowledge, it has capabilities in artificial intelligence, and it can also function like established database models when that is required. This paper describes how the SP model can emulate other models used in database applications and compares the SP model with those other models. The artificial intelligence capabilities of the SP model are reviewed and its relationship with other artificial intelligence systems is described. Also considered are ways in which current prototypes may be translated into an 'industrial strength' working system.