作者: Jeffrey Wu , Sanjay Lall
关键词: Probabilistic logic 、 Decision problem 、 Sufficient statistic 、 Mathematics 、 Decentralised system 、 Random variable 、 Process (engineering) 、 Mathematical optimization 、 Noise measurement 、 Algebraic number
摘要: We show that a new theory of sufficient statistics for team decision problems applies equally well to general dynamic problems. In particular, we the given in are making optimal decisions, and moreover, they can be updated with measurements without having scan through old measurements. The implication is process finding, updating, interpreting decentralized control done relatively easily using tools theory, resorting complicated probabilistic or algebraic arguments.