本頁只刊出中文翻譯與中文說明；英文原文請見下方原文連結。
原文連結
論文資訊
- 類型：已發表論文
- 日期：2020-03-24
摘要
Despite the near universal assumption of individuality in biology, there is little agreement about what individuals are and few rigorous quantitative methods for their identification. Here, we propose that individuals are aggregates that preserve a measure of temporal integrity, i.e., "propagate" 資訊 from their past into their futures. We formalize this idea using 資訊 theory and graphical models. This 數學 formulation yields three principled and distinct forms of individuality-an organismal, a colonial, and a driven form-each of which varies in the degree of environmental dependence and inherited 資訊. This approach can be thought of as a Gestalt approach to 演化 where selection makes figure-ground (智能體-environment) distinctions using suitable 資訊-theoretic lenses. A benefit of the approach is that
※ 此為已發表論文，全文需透過期刊付費取得