Abstract
This article describes existing and expected benefits of the SP theory ofintelligence, and some potential applications. The theory aims to simplify and integrate ideasacross artificial intelligence, mainstream computing, and human perception and cognition,with information compression as a unifying theme. It combines conceptual simplicitywith 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 theform of a computer model—there is potential for an overall simplification of computingsystems, including software. The SP theory promises deeper insights and better solutions inseveral areas of application including, most notably, unsupervised learning, natural languageprocessing, autonomous robots, computer vision, intelligent databases, software engineering,information compression, medical diagnosis and big data. There is also potential inareas such as the semantic web, bioinformatics, structuring of documents, the detection ofcomputer viruses, data fusion, new kinds of computer, and the development of scientifictheories. The theory promises seamless integration of structures and functions within andbetween different areas of application. The potential value, worldwide, of these benefits andapplications is at least $190 billion each year. Further development would be facilitatedby the creation of a high-parallel, open-source version of the SP machine, available toresearchers everywhere.
Highlights
The SP theory of intelligence aims to simplify and integrate concepts across artificial intelligence, mainstream computing and human perception and cognition, with information compression as a unifying theme
“intelligence”— the multiple alignment framework—and save the need to create those kinds of mechanisms repeatedly in different AI applications: pattern recognition, natural language processing, several kinds of reasoning, planning, problem solving, unsupervised learning, and more
It is true that the current SP computer model is compiled in the conventional way, and the same is likely to be true of any versions of the SP machine that are hosted on a conventional computing system
Summary
The SP theory of intelligence aims to simplify and integrate concepts across artificial intelligence, mainstream computing and human perception and cognition, with information compression as a unifying theme. This article describes existing and expected benefits of the SP theory and some of its potential applications. The theory is described most fully in [1] and more briefly in an extended overview [2]. The existing and expected benefits of the theory are:. Deeper insights and better solutions in several areas of application. Seamless integration of structures and functions within and between different areas of application. These points will be discussed, each in its own section, below. As a background and context to what follows, there is a little philosophy, and an introduction to the SP theory with some associated ideas
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