Compression and decompression in cognition

Michael O. Vertolli, Matthew A. Kelly, Jim Davies

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes that decompression is an important and often overlooked component of cognition in all domains where compressive stimuli reduction is a requirement. We support this claim by comparing two compression representations, co-occurrence probabilities and holographic vectors, and two decompression procedures, top-n and Coherencer, on a context generation task from the visual imagination literature. We tentatively conclude that better decompression procedures increase optimality across compression types.

Original languageEnglish (US)
Title of host publicationArtificial General Intelligence - 7th International Conference, AGI 2014, Proceedings
PublisherSpringer Verlag
Pages262-265
Number of pages4
ISBN (Print)9783319092737
DOIs
Publication statusPublished - Jan 1 2014
Event7th International Conference on Artificial General Intelligence, AGI 2014 - Quebec City, QC, Canada
Duration: Aug 1 2014Aug 4 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8598 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Artificial General Intelligence, AGI 2014
CountryCanada
CityQuebec City, QC
Period8/1/148/4/14

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Vertolli, M. O., Kelly, M. A., & Davies, J. (2014). Compression and decompression in cognition. In Artificial General Intelligence - 7th International Conference, AGI 2014, Proceedings (pp. 262-265). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8598 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-09274-4_30