TY - GEN
T1 - An implementation of working memory using stacked half restricted Boltzmann machine
T2 - 23rd International Conference on Neural Information Processing, ICONIP 2016
AU - Osawa, Masahiko
AU - Yamakawa, Hiroshi
AU - Imai, Michita
PY - 2016
Y1 - 2016
N2 - Cognition, judgment, action, and expression acquisition have been widely treated in studies on recently developed deep learning. However, although each study has been specialised for specific tasks and goals, cognitive architecture that integrates many different functions remains necessary for the realisation of artificial general intelligence. To that end, a cognitive architecture fully described with restricted Boltzmann machines (RBMs) in a unified way are promising, and we have begun to implement various cognitive functions with an RBM base. In this paper, we propose new stacked half RBMs (SHRBMs) made from layered half RBMs (HRBMs) that handle working memory. We show that an ability to solve maze problems that requires working memory improves drastically when SHRBMs in the agent’s judgment area are used instead of HRBMs or other RBM-based models.
AB - Cognition, judgment, action, and expression acquisition have been widely treated in studies on recently developed deep learning. However, although each study has been specialised for specific tasks and goals, cognitive architecture that integrates many different functions remains necessary for the realisation of artificial general intelligence. To that end, a cognitive architecture fully described with restricted Boltzmann machines (RBMs) in a unified way are promising, and we have begun to implement various cognitive functions with an RBM base. In this paper, we propose new stacked half RBMs (SHRBMs) made from layered half RBMs (HRBMs) that handle working memory. We show that an ability to solve maze problems that requires working memory improves drastically when SHRBMs in the agent’s judgment area are used instead of HRBMs or other RBM-based models.
KW - Cognitive architecture
KW - Restricted Boltzmann machine
UR - http://www.scopus.com/inward/record.url?scp=84992561434&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84992561434&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-46687-3_38
DO - 10.1007/978-3-319-46687-3_38
M3 - Conference contribution
AN - SCOPUS:84992561434
SN - 9783319466866
VL - 9947 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 342
EP - 350
BT - Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings
PB - Springer Verlag
Y2 - 16 October 2016 through 21 October 2016
ER -