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Transparency and granularity in the SP Theory of Intelligence and its realisation in the SP Computer Model
The chapter describes how transparency in the workings and output of the SP Computer Model may be achieved via three routes: 1) the program provides a very full audit trail for such processes as recognition, reasoning, analysis of language, and so on.
Interpreting Winograd Schemas Via the SP Theory of Intelligence and Its Realisation in the SP Computer Model
The central idea is that a knowledge of discontinuous associations amongst linguistic features, and an ability to recognise such patterns of associations, provides a robust means of determining what a pronoun like "they" refers to.
Mathematics as information compression via the matching and unification of patterns
This paper describes a novel perspective on the foundations of mathematics: how mathematics may be seen to be largely about 'information compression via the matching and unification of patterns' (ICMUP).
Introduction to the SP theory of intelligence
This article provides a brief introduction to the "Theory of Intelligence" and its realisation in the "SP Computer Model".
Solutions to problems with deep learning
The main advantages of the SP system are: relatively small requirements for data and the ability to learn from a single experience; the ability to model both hierarchical and non-hierarchical structures; strengths in several kinds of reasoning, including `commonsense' reasoning; transparency in the representation of knowledge, and the provision of an audit trail for all processing; the likelihood that the SP system could not be fooled into bizarre or eccentric recognition of stimuli, as deep learning systems can be; the SP system provides a robust solution to the problem of `catastrophic forgetting' in deep learning systems; the SP system provides a theoretically-coherent solution to the problems of correcting over- and under-generalisations in learning, and learning correct structures despite errors in data; unlike most research on deep learning, the SP programme of research draws extensively on research on human learning, perception, and cognition; and the SP programme of research has an overarching theory, supported by evidence, something that is largely missing from research on deep learning.
Software engineering and the SP Theory of Intelligence
This paper describes a novel approach to software engineering derived from the "SP Theory of Intelligence" and its realisation in the "SP Computer Model".
A Roadmap for the Development of the "SP Machine" for Artificial Intelligence
Strengths of the SP System in pattern recognition may be developed for computer vision.
The SP Theory of Intelligence as a Foundation for the Development of a General, Human-Level Thinking Machine
This paper summarises how the "SP theory of intelligence" and its realisation in the "SP computer model" simplifies and integrates concepts across artificial intelligence and related areas, and thus provides a promising foundation for the development of a general, human-level thinking machine, in accordance with the main goal of research in artificial general intelligence.
Commonsense Reasoning, Commonsense Knowledge, and The SP Theory of Intelligence
In four main sections, the paper describes: 1) The main problems to be solved; 2) Other research on CSR and CSK; 3) Why the SP system may prove useful with CSR and CSK 4) How examples described by DM may be modelled in the SP system.
The SP theory of intelligence and the representation and processing of knowledge in the brain
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.
Proposal for the creation of a research facility for the development of the SP machine
This is a proposal to create a research facility for the development of a high-parallel version of the "SP machine", based on the "SP theory of intelligence".
Medical diagnosis as pattern recognition in a framework of information compression by multiple alignment, unification and search
This paper describes a novel approach to medical diagnosis based on the SP theory of computing and cognition.
Autonomous robots and the SP theory of intelligence
The article is about: how to increase the computational and energy efficiency of computers and reduce their bulk; how to achieve human-like versatility in intelligence; and likewise for human-like adaptability in intelligence.
A proof challenge: multiple alignment and information compression
These notes pose a "proof challenge": a proof, or disproof, of the proposition that "For any given body of information, I, expressed as a one-dimensional sequence of atomic symbols, a multiple alignment concept, described in the document, provides a means of encoding all the redundancy that may exist in I.
Smart machines and the SP theory of intelligence
The SP system may help to realise data-centric computing, perhaps via a development of Hebb's concept of a "cell assembly", or via the use of light or DNA for the processing of information.
Information Compression, Intelligence, Computing, and Mathematics
This paper presents evidence for the idea that much of artificial intelligence, human perception and cognition, mainstream computing, and mathematics, may be understood as compression of information via the matching and unification of patterns.
The SP theory of intelligence: benefits and applications
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 of intelligence: an overview
The theory aims to simplify and integrate concepts across artificial intelligence, mainstream computing and human perception and cognition, with information compression as a unifying theme.
Big data and the SP theory of intelligence
The SP system -- introduced in the article and fully described elsewhere -- may help to overcome the problem of variety in big data: it has potential as "a universal framework for the representation and processing of diverse kinds of knowledge" (UFK), helping to reduce the diversity of formalisms and formats for knowledge and the different ways in which they are processed.
Application of the SP theory of intelligence to the understanding of natural vision and the development of computer vision
The SP theory of intelligence aims to simplify and integrate concepts in computing and cognition, with information compression as a unifying theme.
