The provided sources introduce the SP theory of intelligence, a unified framework that identifies information compression as the core principle of both biological and artificial cognition. The system operates as an SP machine, which receives “New” information and simplifies it into “Old” patterns by removing redundancy through the matching and unification of symbols. At the heart of this process is the multiple alignment concept, a versatile tool adapted from bioinformatics that facilitates natural language parsing, pattern recognition, and various forms of reasoning. By seeking the minimum length encoding of data, the theory effectively integrates diverse functions such as unsupervised learning, medical diagnosis, and problem-solving within a single architectural model. Furthermore, the texts explore the potential neuroscientific mapping of these abstract concepts, suggesting that brain structures may function as pattern assemblies coordinated by inhibitory and excitatory signals. Ultimately, the SP theory argues that mathematics, logic, and perception are all manifestations of a fundamental drive to achieve simplicity and descriptive power.
Sources
Based on the sources provided, here is the complete list of documents contained in this notebook:
• 1306.3888.pdf****The SP theory of intelligence: an overview, J. Gerard Wolff, Information 2013, 4, 283-341, doi:10.3390/info4030283.[1][2] • 2005 - Jerry Wolff on Medical Diagnosis.pdf****Medical diagnosis as pattern recognition in a framework of information compression by multiple alignment, unification and search, J. Gerard Wolff, Decision Support Systems, 2006.[3][4] • AIREV3A.PDF****Information Compression by Multiple Alignment, Unification and Search as a Unifying Principle in Computing and Cognition, J. Gerard Wolff, Artificial Intelligence Review, 2003.[5] • cause4.pdf****Causality, statistical learning and multiple alignment, J. Gerard Wolff, Paper presented at the UNICOM Seminar and Tutorial on Causal Models and Statistical Learning, London, March 1997.[6][7] • DKE_60_2007_596-624.pdf****Towards an intelligent database system founded on the SP theory of computing and cognition, J. Gerard Wolff, Data & Knowledge Engineering 60 (2007) 596–624, doi:10.1016/j.datak.2006.04.003.[8][9] • dml.pdf****The management and analysis of big data, and the SP theory of intelligence, J. Gerard Wolff, 2013 (In preparation).[10][11] • Gerry Wolff CognitionResearch.pdf****Gerry Wolff CognitionResearch.org.uk, Web page compilation including CV, Research Interests, and Publications list.[12] • Icamus semantic web.pdf****Application of the ‘ICMAUS’ framework to knowledge representation and processing in the Semantic Web, J. Gerard Wolff, School of Informatics Report, April 2002.[13][14] • icicm.pdf****Information compression, intelligence, computing, and mathematics, J. Gerard Wolff, November 2013.[15] • icmausn5.pdf****Neural mechanisms for information compression by multiple alignment, unification and search, J. Gerard Wolff, Technical report, School of Informatics, University of Wales at Bangor, 2001.[16][17] • information-04-00283.pdf****The SP Theory of Intelligence: An Overview, J. Gerard Wolff, Information 2013, 4, 283-341, doi:10.3390/info4030283.[18] • information_4_283-341_2013.pdf****The SP Theory of Intelligence: An Overview, J. Gerard Wolff, Information 2013, 4, 283-341, doi:10.3390/info4030283.[19] • ISBN0955072603_e3.pdf****Unifying Computing and Cognition: the SP Theory and Its Applications, J. Gerard Wolff, CognitionResearch.org.uk, 2006, ISBN 0-9550726-0-3 (ebook).[20][21] • J92-3005.pdf****Book Reviews: Towards a Theory of Cognition and Computing, Reviewed by Philip Swann, Computational Linguistics, Volume 18, Number 3.[22] • jgw1_web.pdf****Unsupervised Learning in a Framework of Information Compression by Multiple Alignment, Unification and Search, J. Gerard Wolff, Technical report, School of Informatics, University of Wales at Bangor, 2002.[23][24] • JGW2.PDF****Information compression by multiple alignment, unification and search as a unifying principle in computing and cognition (Technical Report/Draft), J. Gerard Wolff.[25][26] • JGW3A_WE.PDF****Information Compression by Multiple Alignment, Unification and Search as a Unifying Principle in Computing and Cognition, J. Gerard Wolff, April 8, 2002.[27] • jgwi.pdf****Probabilistic Reasoning as Information Compression by Multiple Alignment, Unification and Search (I): Introduction, J. Gerard Wolff, Journal of Universal Computer Science, 5(7):418–462, 1999.[28] • jgwii.pdf****Probabilistic Reasoning as ICMAUS (II): Calculation of Probabilities, Best-Match Pattern Recognition and Information Retrieval, and Reasoning with Networks, Trees and Rules, J. Gerard Wolff, SEECS Report 1998.[29][30] • jgwiii.pdf****Probabilistic Reasoning as ICMAUS (III): Hypothetical Reasoning, Geometric Analogies, Default Values, Nonmonotonic Reasoning, and Modelling ‘Explaining Away’, J. Gerard Wolff, SEECS Report 1998.[31][32] • jucs_5_11.pdf**‘Computing’ as information compression by multiple alignment, unification and search**, J. Gerard Wolff, Journal of Universal Computer Science, 5(11):777–815, 1999.[30][33] • LEARN3.PDF****Unsupervised Learning in a Framework of Information Compression by Multiple Alignment, Unification and Search, J. Gerard Wolff.[34] • prbr_rpt.pdf****Probabilistic Reasoning as Information Compression by Multiple Alignment, Unification and Search, J. Gerard Wolff, SEECS Report, December 1998.[35] • sp_book_1.pdf****Unifying Computing and Cognition: The ICMAUS Theory and Its Applications (Draft), J. Gerard Wolff, June 10, 2003.[36] • sp_compress_archiving_2017-10-26.pdf****Evidence for information compression via the matching and unification of patterns in the workings of brains and nervous systems, J. Gerard Wolff, Preprint, October 26, 2017.[37] • sp_intro.pdf****The SP theory of intelligence: an introduction, J. Gerard Wolff, October 19, 2013.[38] • sp_ontologies_published_version.pdf****The SP Theory and the Representation and Processing of Knowledge, J. Gerard Wolff, in Soft Computing in Ontologies and Semantic Web, Z. Ma (Ed.), Springer-Verlag, 2006, pp. 79-101.[39][40] • sp_phil_maths_2017-12-06.pdf****Towards a new mathematics for science, J. Gerard Wolff, Preprint, December 6, 2017.[41] • spcomp.pdf****Computing as compression: the SP theory of intelligence, J. Gerard Wolff, July 17, 2013.[42] • spdoc5.pdf****Computing, Cognition and Information Compression, J. Gerard Wolff, AI Communications 6(2), 107-127, 1993.[43][44] • spdoc12c.pdf****Computing as Compression by Multiple Alignment, Unification and Search (2), J. Gerard Wolff, July 1995.[45] • spdoc12d.pdf****References for: Logic as information compression by multiple alignment, unification and search (Inferred Title), J. Gerard Wolff, 1996.[46][47] • spdoc12f.pdf****Information Compression by Multiple Alignment, Unification and Search as a General Theory of Computing, J. Gerard Wolff, December 1996.[48] • spiral_model.pdf****The management of risk in system development: ‘Project SP’ and the ‘New Spiral Model’, J. Gerard Wolff, Software Engineering Journal, 4(3):134–142, 1989.[49][50] • spmaths.pdf****Towards a new mathematics for science, J. Gerard Wolff, Preprint, May 25, 2017.[51] • Wolff - 2013 - The SP Theory of Intelligence An Overview - Unknown.pdf****The SP Theory of Intelligence: An Overview, J. Gerard Wolff, Information 2013, 4, 283-341, doi:10.3390/info4030283.[52] • Wolff - Mathematics and Logic as Information Compression By Multiple Alignment Unification and Search.pdf****Mathematics and Logic as Information Compression by Multiple Alignment, Unification and Search, J. Gerard Wolff, March 8, 2002.[53] • Wolff - SP Theory of Intelligence as a Foundation for the development of artificial general intelligence.pdf****The SP Theory of Intelligence, and Its Realisation in the SP Computer Model, as a Foundation for the Development of Artificial General Intelligence, J. Gerard Wolff, Analytics 2023, 2, 163–197, doi:10.3390/analytics2010010.[54] • Wolff, J. G. & Cognition Research (Organisation) Unifying computing and cognition the SP theory and its applications. (CognitionResearch.org.uk [Wales], 2006).pdf****Unifying Computing and Cognition: the SP Theory and Its Applications, J. Gerard Wolff, CognitionResearch.org.uk, 2006, ISBN 0-9550726-0-3 (ebook).[55][56]
References
[1] 1306.3888.pdf [2] 1306.3888.pdf [3] 2005 - Jerry Wolff on Medical Diagnosis.pdf [4] 2005 - Jerry Wolff on Medical Diagnosis.pdf [5] AIREV3A.PDF [6] cause4.pdf [7] cause4.pdf [8] DKE_60_2007_596-624.pdf [9] DKE_60_2007_596-624.pdf [10] dml.pdf [11] dml.pdf [12] Gerry Wolff CognitionResearch.pdf [13] Icamus semantic web.pdf [14] Icamus semantic web.pdf [15] icicm.pdf [16] icmausn5.pdf [17] icmausn5.pdf [18] information-04-00283.pdf [19] information_4_283-341_2013.pdf [20] ISBN0955072603_e3.pdf [21] ISBN0955072603_e3.pdf [22] J92-3005.pdf [23] jgw1_web.pdf [24] jgw1_web.pdf [25] JGW2.PDF [26] JGW2.PDF [27] JGW3A_WE.PDF [28] jgwi.pdf [29] jgwii.pdf [30] jucs_5_11.pdf [31] jgwiii.pdf [32] jucs_5_11.pdf [33] jucs_5_11.pdf [34] LEARN3.PDF [35] prbr_rpt.pdf [36] sp_book_1.pdf [37] sp_compress_archiving_2017-10-26.pdf [38] sp_intro.pdf [39] sp_ontologies_published_version.pdf [40] sp_ontologies_published_version.pdf [41] sp_phil_maths_2017-12-06.pdf [42] spcomp.pdf [43] spdoc5.pdf [44] spdoc5.pdf [45] spdoc12c.pdf [46] spdoc12d.pdf [47] spdoc12f.pdf [48] spdoc12f.pdf [49] spiral_model.pdf [50] spiral_model.pdf [51] spmaths.pdf [52] Wolff - 2013 - The SP Theory of Intelligence An Overview - Unknown.pdf [53] Wolff - Mathematics and Logic as Information Compression By Multiple Alignment Unification and Search.pdf [54] Wolff - SP Theory of Intelligence as a Foundation for the development of artificial general intelligence.pdf [55] Wolff, J. G. & Cognition Research (Organisation) Unifying computing and cognition the SP theory and its applications. (CognitionResearch.org.uk [Wales], 2006).pdf [56] Wolff, J. G. & Cognition Research (Organisation) Unifying computing and cognition the SP theory and its applications. (CognitionResearch.org.uk [Wales], 2006).pdf