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原文連結
論文資訊
- 類型：已發表論文
- 日期：2001
摘要
演化 produces complex and structured 網絡s of interacting components in chemical, 生物, and 社會 systems. We describe a simple 數學 model for the 演化 of an idealized chemical system to study how a 網絡 of cooperative molecular 物種 arises and evolves to become more complex and structured. The 網絡 is modeled by a directed weighted graph whose positive and negative links represent "catalytic" and "inhibitory" interactions among the molecular 物種, and which evolves as the least populated 物種 (typically those that go extinct) are replaced by new ones. A small autocatalytic set, appearing by chance, provides the seed for the spontaneous growth of connectivity and 合作 in the graph. A highly structured chemical organization arises inevitably as the autocatalytic set enlarges and percolates through the 網絡 in a short
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