信息传递的广义测度
Generalized Measures of Information Transfer
摘要：
传递熵为分析系统中信息传递的大小和方向提供了一个通用工具，但不能分析系统中信息传递的\emph{kinds}。我们以两种互补的方式扩展了转移熵。首先，我们根据源的影响是否依赖于目标的状态来区分状态依赖的和状态无关的转移。其次，对于多个来源，我们区分独特的，冗余的，协同转移。新的措施证明了几个系统，从以前的文献中扩展的例子。
英文摘要：
Transfer entropy provides a general tool for analyzing the magnitudes and directions---but not the \emph{kinds}---of information transfer in a system. We extend transfer entropy in two complementary ways. First, we distinguish state-dependent from state-independent transfer, based on whether a source's influence depends on the state of the target. Second, for multiple sources, we distinguish between unique, redundant, and synergistic transfer. The new measures are demonstrated on several systems that extend examples from previous literature.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
