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原文連結
論文資訊
- 類型：已發表論文
- 日期：2015-08-11
摘要
計算 mechanics quantifies structure in a 隨機 process via its causal states, leading to the process's minimal, optimal predictor-the . We extend 計算 mechanics to communication channels coupling two processes, obtaining an analogous optimal model-the -of the 隨機 mapping between them. Here, we lay the foundation of a structural analysis of communication channels, treating joint processes and processes with input. The result is a principled structural analysis of mechanisms that support 資訊 flow between processes. It is the first in a series on the structural 資訊 theory of memoryful channels, channel composition, and allied conditional 資訊 measures.
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