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原文連結
論文資訊
- 類型：已發表論文
- 日期：2017-08-31
摘要
There are numerous examples that show how the exploitation of the body's physical properties can lift the burden of the 大腦. Examples include grasping, swimming, locomotion, and motion detection. The term Morphological Computation was originally coined to describe processes in the body that would otherwise have to be conducted by the 大腦. In this paper, we argue for a synergistic perspective, and by that we mean that Morphological Computation is a process which requires a close interaction of body and 大腦. Based on a model of the sensorimotor loop, we study a new measure of synergistic 資訊 and show that it is more reliable in cases in which there is no synergistic 資訊, compared to previous results. Furthermore, we discuss an algorithm that allows the calculation of the measure in non-trivial (n
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