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Unifying Computing and Cognition: The SP Theory and its Applications

2004/01/13 by J Gerard Wolff, J. Gerard Wolff, Wolff, J Gerard · 4 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #DNA and Biological Computing #F.1.0 #FOS: Computer and information sciences #I.2.0 #Logic, Reasoning, and Knowledge #cs.AI

paper · pdf · doi:10.48550/arxiv.cs/0401009

arxiv created 2004/01/13 · openalex publication_date 2004/01/13 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This book develops the conjecture that all kinds of information processing in computers and in brains may usefully be understood as "information compression by multiple alignment, unification and search". This "SP theory", which has been under development since 1987, provides a unified view of such things as the workings of a universal Turing machine, the nature of 'knowledge', the interpretation and production of natural language, pattern recognition and best-match information retrieval, several kinds of probabilistic reasoning, planning and problem solving, unsupervised learning, and a range of concepts in mathematics and logic. The theory also provides a basis for the design of an 'SP' computer with several potential advantages compared with traditional digital computers.

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