Compression and Decompression in Cognition
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- Vertolli M.O., Kelly M.A., Davies J. (2014) Compression and Decompression in Cognition. In: Goertzel B., Orseau L., Snaider J. (eds) Artificial General Intelligence. AGI 2014. Lecture Notes in Computer Science, vol 8598. Springer, Cham
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.
Keywordsdecompression generative cognition imagination context coherence vector symbolic architectures cognitive modeling
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