本頁只刊出中文翻譯與中文說明；英文原文請見下方原文連結。
原文連結
論文資訊
- 類型：已發表論文
- 日期：2013
摘要
資訊 theory is a powerful tool to express principles to drive autonomous systems because it is domain invariant and allows for an intuitive interpretation. This paper studies the use of the predictive 資訊 (PI), also called excess 熵 or effective measure complexity, of the sensorimotor process as a driving force to generate behavior. We study 非線性 and nonstationary systems and introduce the time-local predicting 資訊 (TiPI) which allows us to derive exact results together with explicit update rules for the parameters of the controller in the dynamical systems framework. In this way the 資訊 principle, formulated at the level of behavior, is translated to the dynamics of the synapses. We underpin our results with a number of case studies with high-dimensional robotic systems. We show the spontaneous
※ 此為已發表論文，全文需透過期刊付費取得