首页|Reports from Ritsumeikan University Add New Data to Research in Robotics and Art ificial Intelligence (Collective predictive coding hypothesis: symbol emergence as decentralized Bayesian inference)
Reports from Ritsumeikan University Add New Data to Research in Robotics and Art ificial Intelligence (Collective predictive coding hypothesis: symbol emergence as decentralized Bayesian inference)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on robotics and artificial intellige nce is the subject of a new report. According tonews reporting out of Shiga, Ja pan, by NewsRx editors, research stated, “Understanding the emergenceof symbol systems, especially language, requires the construction of a computational model that reproducesboth the developmental learning process in everyday life and th e evolutionary dynamics of symbolemergence throughout history.”
Ritsumeikan UniversityShigaJapanAs iaBayesian InferenceMachine LearningRobotics and Artificial Intelligence
NETL
NSTL
