Information Compression as a Unifying Principle in Human Learning, Perception, and Cognition

This paper reviews evidence for the idea that much of human learning, perception, and cognition may be understood as information compression and often more specifically as “information compression via the matching and unification of patterns” (ICMUP). Evidence includes the following: information com...

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Main Author: J. Gerard Wolff
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/1879746
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author J. Gerard Wolff
author_facet J. Gerard Wolff
author_sort J. Gerard Wolff
collection DOAJ
description This paper reviews evidence for the idea that much of human learning, perception, and cognition may be understood as information compression and often more specifically as “information compression via the matching and unification of patterns” (ICMUP). Evidence includes the following: information compression can mean selective advantage for any creature; the storage and utilisation of the relatively enormous quantities of sensory information would be made easier if the redundancy of incoming information was to be reduced; content words in natural languages, with their meanings, may be seen as ICMUP; other techniques for compression of information—such as class-inclusion hierarchies, schema-plus-correction, run-length coding, and part-whole hierarchies—may be seen in psychological phenomena; ICMUP may be seen in how we merge multiple views to make one, in recognition, in binocular vision, in how we can abstract object concepts via motion, in adaptation of sensory units in the eye of Limulus, the horseshoe crab, and in other examples of adaptation; the discovery of the segmental structure of language (words and phrases), grammatical inference, and the correction of over- and undergeneralisations in learning may be understood in terms of ICMUP; information compression may be seen in the perceptual constancies; there is indirect evidence for ICMUP in human cognition via kinds of redundancy such as the decimal expansion of π which are difficult for people to detect; much of the structure and workings of mathematics—an aid to human thinking—may be understood in terms of ICMUP; and there is additional evidence via the SP Theory of Intelligence and its realisation in the SP Computer Model. Three objections to the main thesis of this paper are described, with suggested answers. These ideas may be seen to be part of a “Big Picture” with six components, outlined in the paper.
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spelling doaj-art-39c5ffb970b644748b1b73db3f9edb072025-02-03T06:00:54ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/18797461879746Information Compression as a Unifying Principle in Human Learning, Perception, and CognitionJ. Gerard Wolff0CognitionResearch.org, Menai Bridge, UKThis paper reviews evidence for the idea that much of human learning, perception, and cognition may be understood as information compression and often more specifically as “information compression via the matching and unification of patterns” (ICMUP). Evidence includes the following: information compression can mean selective advantage for any creature; the storage and utilisation of the relatively enormous quantities of sensory information would be made easier if the redundancy of incoming information was to be reduced; content words in natural languages, with their meanings, may be seen as ICMUP; other techniques for compression of information—such as class-inclusion hierarchies, schema-plus-correction, run-length coding, and part-whole hierarchies—may be seen in psychological phenomena; ICMUP may be seen in how we merge multiple views to make one, in recognition, in binocular vision, in how we can abstract object concepts via motion, in adaptation of sensory units in the eye of Limulus, the horseshoe crab, and in other examples of adaptation; the discovery of the segmental structure of language (words and phrases), grammatical inference, and the correction of over- and undergeneralisations in learning may be understood in terms of ICMUP; information compression may be seen in the perceptual constancies; there is indirect evidence for ICMUP in human cognition via kinds of redundancy such as the decimal expansion of π which are difficult for people to detect; much of the structure and workings of mathematics—an aid to human thinking—may be understood in terms of ICMUP; and there is additional evidence via the SP Theory of Intelligence and its realisation in the SP Computer Model. Three objections to the main thesis of this paper are described, with suggested answers. These ideas may be seen to be part of a “Big Picture” with six components, outlined in the paper.http://dx.doi.org/10.1155/2019/1879746
spellingShingle J. Gerard Wolff
Information Compression as a Unifying Principle in Human Learning, Perception, and Cognition
Complexity
title Information Compression as a Unifying Principle in Human Learning, Perception, and Cognition
title_full Information Compression as a Unifying Principle in Human Learning, Perception, and Cognition
title_fullStr Information Compression as a Unifying Principle in Human Learning, Perception, and Cognition
title_full_unstemmed Information Compression as a Unifying Principle in Human Learning, Perception, and Cognition
title_short Information Compression as a Unifying Principle in Human Learning, Perception, and Cognition
title_sort information compression as a unifying principle in human learning perception and cognition
url http://dx.doi.org/10.1155/2019/1879746
work_keys_str_mv AT jgerardwolff informationcompressionasaunifyingprincipleinhumanlearningperceptionandcognition