The SP theory of intelligence: benefits and applications
J Gerard Wolff

TL;DR
The SP theory of intelligence aims to unify and simplify AI, computing, and cognition through information compression, offering broad benefits and applications across multiple fields with significant potential economic value.
Contribution
It introduces the SP theory as a unifying framework for AI and cognition, with a computer model (SP machine) that simplifies systems and enhances various applications.
Findings
Potential for overall simplification of computing systems
Applications in unsupervised learning and NLP
Estimated global value of benefits exceeds $190 billion
Abstract
This article describes existing and expected benefits of the "SP theory of intelligence", and some potential applications. The theory aims to simplify and integrate ideas across artificial intelligence, mainstream computing, and human perception and cognition, with information compression as a unifying theme. It combines conceptual simplicity with descriptive and explanatory power across several areas of computing and cognition. In the "SP machine" -- an expression of the SP theory which is currently realized in the form of a computer model -- there is potential for an overall simplification of computing systems, including software. The SP theory promises deeper insights and better solutions in several areas of application including, most notably, unsupervised learning, natural language processing, autonomous robots, computer vision, intelligent databases, software engineering,…
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