TY - GEN
T1 - Compression and decompression in cognition
AU - Vertolli, Michael O.
AU - Kelly, Matthew A.
AU - Davies, Jim
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84905842617&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84905842617&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-09274-4_30
DO - 10.1007/978-3-319-09274-4_30
M3 - Conference contribution
AN - SCOPUS:84905842617
SN - 9783319092737
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 262
EP - 265
BT - Artificial General Intelligence - 7th International Conference, AGI 2014, Proceedings
PB - Springer Verlag
T2 - 7th International Conference on Artificial General Intelligence, AGI 2014
Y2 - 1 August 2014 through 4 August 2014
ER -