Published on Tue Apr 19 2016

The SP theory of intelligence and the representation and processing of knowledge in the brain

J Gerard Wolff

The "SP theory of intelligence" aims to simplify and integrate observations and concepts across AI-related fields. In the SP theory (apart from SP-neural), all kinds of knowledge are represented with "patterns" The concept of a "pattern" is realised as an array of neurons.

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Abstract

The "SP theory of intelligence", with its realisation in the "SP computer model", aims to simplify and integrate observations and concepts across AI-related fields, with information compression as a unifying theme. This paper describes how abstract structures and processes in the theory may be realised in terms of neurons, their interconnections, and the transmission of signals between neurons. This part of the SP theory -- "SP-neural" -- is a tentative and partial model for the representation and processing of knowledge in the brain. In the SP theory (apart from SP-neural), all kinds of knowledge are represented with "patterns", where a pattern is an array of atomic symbols in one or two dimensions. In SP-neural, the concept of a "pattern" is realised as an array of neurons called a "pattern assembly", similar to Hebb's concept of a "cell assembly" but with important differences. Central to the processing of information in the SP system is the powerful concept of "multiple alignment", borrowed and adapted from bioinformatics. Processes such as pattern recognition, reasoning and problem solving are achieved via the building of multiple alignments, while unsupervised learning -- significantly different from the "Hebbian" kinds of learning -- is achieved by creating patterns from sensory information and also by creating patterns from multiple alignments in which there is a partial match between one pattern and another. Short-lived neural structures equivalent to multiple alignments will be created via an inter-play of excitatory and inhibitory neural signals. The paper discusses several associated issues, with relevant empirical evidence.

Thu Jun 13 2013
Artificial Intelligence
The SP theory of intelligence: an overview
The SP theory of intelligence aims to simplify and integrate concepts across artificial intelligence, mainstream computing and human perception and cognition. It is conceived as a brain-like system that receives 'New' information and stores some or all of it in compressed form as 'Old' information. The concept of "multiple alignment" is a powerful central idea.
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Thu Jun 13 2013
Artificial Intelligence
The SP theory of intelligence: benefits and applications
The SP theory aims to simplify andintegrate ideas across artificial intelligence, mainstream computing, and human perception and cognition. It combines conceptual simplicity with descriptive and explanatory power across several areas of computing. The potential value, worldwide, of these benefits and applications is at least $190 billion each year.
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Mon Aug 17 2015
Artificial Intelligence
The SP theory of intelligence: distinctive features and advantages
The SP system can provide a firm foundation for the long-term development of AI. It may also deliver useful results on relatively short timescales. A high-parallel, open-source version of the SP machine would be a means for researchers everywhere to explore what can be done with the system.
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Sat Feb 24 2018
Artificial Intelligence
Introduction to the SP theory of intelligence
The SP system is a brain-like system that takes in "New" information through its senses and stores some or all of it as "Old" information. A central idea in the system is the concept of "SP-multiple-alignment", borrowed and adapted from bioinformatics.
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Fri Mar 08 2013
Artificial Intelligence
Computing as compression: the SP theory of intelligence
The SP theory of intelligence is based on the idea that redundancy in information may be understood as repetition of patterns. The SP system is Turing-equivalent in the sense that anything that may be computed with a Turing machine may, in principle, also be computed with an SP machine.
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Sun Dec 02 2012
Artificial Intelligence
Simplification and integration in computing and cognition: the SP theory and the multiple alignment concept
The SP theory is an attempt to simplify and integrate ideas across artificial intelligence, mainstream computing and human cognition. In the SP machine -- an expression of the SP theory which is currently realised in the form of computer models -- there is potential for an all-overall simplification of computing systems, including software.
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