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原文連結
論文資訊
- 類型：已發表論文
- 日期：2018-10-19
摘要
Shannon 資訊 theory provides various measures of so-called syntactic 資訊, which reflect the amount of 統計 correlation between systems. By contrast, the concept of 'semantic 資訊' refers to those correlations which carry significance or 'meaning' for a given system. Semantic 資訊 plays an important role in many fields, including biology, 認知 science and philosophy, and there has been a long-standing interest in formulating a broadly applicable and formal theory of semantic 資訊. In this paper, we introduce such a theory. We define semantic 資訊 as the syntactic 資訊 that a physical system has about its environment which is causally necessary for the system to maintain its own existence. 'Causal necessity' is defined in terms of counter-factual interventions which scramble correlations between the system a
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