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原文連結
論文資訊
- 類型：已發表論文
- 日期：2010
摘要
We adapt tools from 資訊 theory to analyze how an observer comes to synchronize with the hidden states of a finitary, stationary 隨機 process. We show that 同步化 is determined by both the process's internal organization and by an observer's model of it. We analyze these components using the convergence of state-block and block-state entropies, comparing them to the previously known convergence properties of the Shannon block 熵. Along the way we introduce a hierarchy of 資訊 quantifiers as derivatives and integrals of these entropies, which parallels a similar hierarchy introduced for block 熵. We also draw out the duality between 同步化 properties and a process's controllability. These tools lead to a new classification of a process's alternative representations in terms of minimality, synchronizabili
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