摘要 In recent years, 資訊 theory has come into the focu

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論文資訊

• 類型：已發表論文
• 日期：2012

摘要

In recent years, 資訊 theory has come into the focus of researchers interested in the sensorimotor dynamics of both robots and living beings. One root for these approaches is the idea that living beings are 資訊 processing systems and that the optimization of these processes should be an 演化ary advantage. Apart from these more fundamental questions, there is much interest recently in the question how a robot can be equipped with an internal drive for innovation or curiosity that may serve as a drive for an open-ended, self-determined development of the robot. The success of these approaches depends essentially on the choice of a convenient measure for the 資訊. This article studies in some detail the use of the predictive 資訊 (PI), also called excess 熵 or effective measure complexity, of the senso

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