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原文連結
論文資訊
- 類型：已發表論文
- 日期：2022-07-27
摘要
Modeling and inference are central to most areas of science and especially to evolving and 複雜系統s. Critically, the 資訊 we have is often uncertain and insufficient, resulting in an underdetermined inference problem; multiple inferences, models, and theories are consistent with available 資訊. 資訊 theory (in particular, the maximum 資訊 熵 formalism) provides a way to deal with such complexity. It has been applied to numerous problems, within and across many disciplines, over the last few decades. In this perspective, we review the historical development of this procedure, provide an overview of the many applications of maximum 熵 and its extensions to 複雜系統s, and discuss in more detail some recent advances in constructing comprehensive theory based on this inference procedure. We also discuss efforts
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