Grammar Discovery as Data Compression. - J. Gerard Wolff (AISB/GI (ECAI), 1978)

Recoding of Natural Language for Economy of Transmission of Storage. - J. Gerard Wolff (Comput. J., 1978)

The management of risk in system development: Project SP and the New Spiral Model. - J. Gerard Wolff (Softw. Eng. J., 1989)

Simplicity and Power - Some Unifying Ideas in Computing. - J. Gerard Wolff (Comput. J., 1990)

Computing, Cognition and Information Compression. - J. Gerard Wolff (AI Commun., 1993)

Computing and Information Compression: A Reply. - J. Gerard Wolff (AI Commun., 1994)

Towards a new concept of software. - J. Gerard Wolff (Softw. Eng. J., 1994)

A scaleable technique for best-match retrieval of sequential information using metrics-guided search. - J. Gerard Wolff (J. Inf. Sci., 1994)

Computing As Compression: An Overview of the SP Theory and System. - J. Gerard Wolff (New Gener. Comput., 1995)

Computing As Compression SP20. - J. Gerard Wolff (New Gener. Comput., 1995)

Probabilistic Reasoning as Information Compression by Multiple Alignment, Unification and Search: An Introduction and Overview. - J. Gerard Wolff (J. Univers. Comput. Sci., 1999)

Computing as Information Compression by Multiple Alignment, Unification and Search. - J. Gerard Wolff (J. Univers. Comput. Sci., 1999)

Syntax, Parsing and Production of Natural Language in a Framework of Information Compression by Multiple Alignment, Unification and Search. - J. Gerard Wolff (J. Univers. Comput. Sci., 2000)

Unsupervised Grammar Induction in a Framework of Information Compression by Multiple Alignment, Unification and Search. - J. Gerard Wolff (ECML Workshop on Learning Contex-Free Grammars, 2003)

Information Compression by Multiple Alignment, Unification and Search as a Unifying Principle in Computing and Cognition. - J. Gerard Wolff (Artif. Intell. Rev., 2003)

Unsupervised Learning in a Framework of Information Compression by Multiple Alignment, Unification and Search - J. Gerard Wolff (CoRR, 2003)

Neural realisation of the SP theory: cell assemblies revisited - J. Gerard Wolff (CoRR, 2003)

An Alternative to RDF-Based Languages for the Representation and Processing of Ontologies in the Semantic Web - J. Gerard Wolff (CoRR, 2003)

Mathematics and Logic as Information Compression by Multiple Alignment Unification and Search - J. Gerard Wolff (CoRR, 2003)

Unifying Computing and Cognition: The SP Theory and its Applications - J. Gerard Wolff (CoRR, 2004)

The Simplicity and Power model for inductive inference. - Emmanuel M. Pothos; J. Gerard Wolff (Artif. Intell. Rev., 2006)

Medical diagnosis as pattern recognition in a framework of information compression by multiple alignment, unification and search. - J. Gerard Wolff (Decis. Support Syst., 2006)

Towards an intelligent database system founded on the SP theory of computing and cognition. - J. Gerard Wolff (Data Knowl. Eng., 2007)

Aspects of Intelligence in an "SP" Database System. - J. Gerard Wolff (Database Technologies: Concepts, Methodologies, Tools, and Applications, 2009)

Simplification and integration in computing and cognition: the SP theory and the multiple alignment concept - J. Gerard Wolff (CoRR, 2012)

The management and analysis of big data, and the SP theory of intelligence. - J. Gerard Wolff (CoRR, 2013)

Information Compression, Intelligence, Computing, and Mathematics. - J. Gerard Wolff (CoRR, 2013)

Computing as compression: the SP theory of intelligence - J. Gerard Wolff (CoRR, 2013)

Application of the SP theory of intelligence to the understanding of natural vision and the development of computer vision - J. Gerard Wolff (CoRR, 2013)

The SP Theory of Intelligence: An Overview. - J. Gerard Wolff (Inf., 2013)

Big Data and the SP Theory of Intelligence. - J. Gerard Wolff (IEEE Access, 2014)

Autonomous Robots and the SP Theory of Intelligence. - James Gerard Wolff (IEEE Access, 2014)

Smart machines and the SP theory of intelligence. - J. Gerard Wolff (CoRR, 2014)

A proof challenge: multiple alignment and information compression. - J. Gerard Wolff (CoRR, 2014)

The SP Theory of Intelligence: Benefits and Applications. - J. Gerard Wolff (Inf., 2014)

Proposal for the creation of a research facility for the development of the SP machine. - J. Gerard Wolff; Vasile Palade (CoRR, 2015)

The SP Theory of Intelligence: Distinctive Features and Advantages. - James Gerard Wolff (IEEE Access, 2016)

The SP theory of intelligence and the representation and processing of knowledge in the brain. - J. Gerard Wolff (CoRR, 2016)

Commonsense reasoning, commonsense knowledge, and the SP theory of intelligence. - J. Gerard Wolff (CoRR, 2016)

The curse of variety in computing, and what can be done about it. - J. Gerard Wolff (CoRR, 2016)

In the transmission of information, the great potential of model-based coding with the SP theory of intelligence. - J. Gerard Wolff (CoRR, 2016)

The SP Theory of Intelligence as a Foundation for the Development of a General, Human-Level Thinking Machine. - J. Gerard Wolff (CoRR, 2016)

Development of the SP machine. - J. Gerard Wolff (CoRR, 2017)

Software engineering and the SP theory of intelligence. - J. Gerard Wolff (CoRR, 2017)

Solutions to problems with deep learning. - J. Gerard Wolff (CoRR, 2018)

Introduction to the SP theory of intelligence. - J. Gerard Wolff (CoRR, 2018)

Interpreting Winograd Schemas Via the SP Theory of Intelligence and Its Realisation in the SP Computer Model. - J. Gerard Wolff (CoRR, 2018)

A Roadmap for the Development of the 'SP Machine' for Artificial Intelligence. - Vasile Palade; J. Gerard Wolff (Comput. J., 2019)

Information Compression as a Unifying Principle in Human Learning, Perception, and Cognition. - J. Gerard Wolff (Complex., 2019)

Mathematics as Information Compression via the Matching and Unification of Patterns. - J. Gerard Wolff (Complex., 2019)

Transparency and granularity in the SP Theory of Intelligence and its realisation in the SP Computer Model. - J. Gerard Wolff (CoRR, 2020)

Problems in AI research and how the SP System may help to solve them. - J. Gerard Wolff (CoRR, 2020)

The Potential of the SP System in Machine Learning and Data Analysis for Image Processing. - J. Gerard Wolff (Big Data Cogn. Comput., 2021)