On the SP Theory of Computing and Cognition

Title: On the SP Theory of Computing and Cognition

Research Question: How does the SP theory of computing and cognition contribute to the development of intelligent database systems?

Methodology: The study utilized the SP theory of computing and cognition, which is an attractive model for intelligent database systems due to its simplicity, versatility, and integration of various types of knowledge. The researchers developed prototypes of the SP system as software simulations running on an ordinary computer. These prototypes served to demonstrate the system's capabilities and provided examples for the study.

Results: The SP theory was found to emulate other models used in database applications, integrate and simplify a range of artificial intelligence functions, and function like established database models when necessary. The study highlighted the system's abilities in probabilistic and exact reasoning, unsupervised learning, fuzzy pattern recognition, best-match information retrieval, planning, problem-solving, and other aspects.

Implications: The SP theory's contribution to the development of intelligent database systems is significant. Its simple yet versatile format for representing knowledge facilitates seamless integration of different types of knowledge, and its framework for processing that knowledge simplifies and integrates artificial intelligence functions. This makes the SP theory an attractive model for intelligent database systems requiring a measure of human-like 'intelligence'.

Conclusion: The SP theory of computing and cognition provides an attractive model for intelligent database systems due to its ability to emulate other models, integrate and simplify knowledge, and function like established database models. Further development of the prototypes into a working system with 'industrial strength' is necessary to fully realize the system's potential.

Link to Article: https://arxiv.org/abs/0311031v1 Authors: arXiv ID: 0311031v1