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Compression in Working Memory and Its Relationship With Fluid Intelligence
- Source :
- Cognitive Science, Cognitive Science, Wiley, 2018, 42, pp.904-922. ⟨10.1111/cogs.12601⟩
- Publication Year :
- 2018
- Publisher :
- HAL CCSD, 2018.
-
Abstract
- International audience; Working memory has been shown to be strongly related to fluid intelligence; however, our goal is to shed further light on the process of information compression in working memory as a determining factor of fluid intelligence. Our main hypothesis was that compression in working memory is an excellent indicator for studying the relationship between working‐memory capacity and fluid intelligence because both depend on the optimization of storage capacity. Compressibility of memoranda was estimated using an algorithmic complexity metric. The results showed that compressibility can be used to predict working‐memory performance and that fluid intelligence is well predicted by the ability to compress information. We conclude that the ability to compress information in working memory is the reason why both manipulation and retention of information are linked to intelligence. This result offers a new concept of intelligence based on the idea that compression and intelligence are equivalent problems.
- Subjects :
- Computer science
Cognitive Neuroscience
Intelligence
Short-term memory
[SHS.PSY]Humanities and Social Sciences/Psychology
Experimental and Cognitive Psychology
Data_CODINGANDINFORMATIONTHEORY
Models, Psychological
Serial Learning
Fluid intelligence
050105 experimental psychology
[SHS]Humanities and Social Sciences
Young Adult
03 medical and health sciences
0302 clinical medicine
Artificial Intelligence
Chunking (psychology)
Short–term memory
Humans
0501 psychology and cognitive sciences
Working memory
business.industry
05 social sciences
Retention, Psychology
Chunking
Memory, Short-Term
Algorithmic complexity
Mental Recall
Compressibility
Artificial intelligence
business
Human information storage
030217 neurology & neurosurgery
Information compression
Subjects
Details
- Language :
- English
- ISSN :
- 03640213 and 15516709
- Database :
- OpenAIRE
- Journal :
- Cognitive Science, Cognitive Science, Wiley, 2018, 42, pp.904-922. ⟨10.1111/cogs.12601⟩
- Accession number :
- edsair.doi.dedup.....3c858fc3df6c0156057fb6ccb27378ca
- Full Text :
- https://doi.org/10.1111/cogs.12601⟩