摘要翻译:
越来越明显的是,生物进化比自然选择更重要;而且,进化的概念并不局限于生物学。我们提出了一个描述实体如何进化的综合框架,其中进化被视为一个上下文驱动的潜能实现(CAP)的过程。变化过程根据不确定性的程度以及它们对特定环境的敏感程度、内在化程度和依赖程度而不同。这种方法使我们能够将跨学科的现象嵌入到一个广泛的概念框架中。我们给出了从这个统一的框架中获得的对物理、生物、文化和认知的见解的例子。
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英文标题:
《Evolution as context-driven actualization of potential: Toward an
interdisciplinary theory of change of state》
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作者:
Liane Gabora & Diederik Aerts
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最新提交年份:
2005
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分类信息:
一级分类:Quantitative Biology 数量生物学
二级分类:Populations and Evolution 种群与进化
分类描述:Population dynamics, spatio-temporal and epidemiological models, dynamic speciation, co-evolution, biodiversity, foodwebs, aging; molecular evolution and phylogeny; directed evolution; origin of life
种群动力学;时空和流行病学模型;动态物种形成;协同进化;生物多样性;食物网;老龄化;分子进化和系统发育;定向进化;生命起源
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一级分类:Physics 物理学
二级分类:Adaptation and Self-Organizing Systems 自适应和自组织系统
分类描述:Adaptation, self-organizing systems, statistical physics, fluctuating systems, stochastic processes, interacting particle systems, machine learning
自适应,自组织系统,统计物理,波动系统,随机过程,相互作用粒子系统,机器学习
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一级分类:Quantitative Biology 数量生物学
二级分类:Other Quantitative Biology 其他定量生物学
分类描述:Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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一级分类:Physics 物理学
二级分类:Quantum Physics 量子物理学
分类描述:Description coming soon
描述即将到来
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英文摘要:
It is increasingly evident that there is more to biological evolution than natural selection; moreover, the concept of evolution is not limited to biology. We propose an integrative framework for characterizing how entities evolve, in which evolution is viewed as a process of context-driven actualization of potential (CAP). Processes of change differ according to the degree of nondeterminism, and the degree to which they are sensitive to, internalize, and depend upon a particular context. The approach enables us to embed phenomena across disciplines into a broad conceptual framework. We give examples of insights into physics, biology, culture and cognition that derive from this unifying framework.
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PDF链接:
https://arxiv.org/pdf/q-bio/0511007