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Analysis and Effects of Generative Entrenchment in Complex Systems

复杂系统中生成防御的分析和效果

基本信息

批准号：
8709856
负责人：
William Wimsatt
金额：
$ 3.92万
依托单位：
University of Chicago
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
1987
资助国家：
美国
起止时间：
1987-07-15 至 1988-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=8709856&HistoricalAwards=false
关键词：
Analysis Effects Generative Entrenchment Complex

项目摘要

The generative entrenchment of an entity is a measure of how much of the generated system depends upon the presence or activity of that entity. It has been demonstrated that entities with higher degrees of generative entrenchment tend to be more conservative in evolutionary changes of such systems. Models of complex structures incorporating the effects of generative entrenchment have demonstrated their relevance in analyzing and explaining a variety of developmental and evolutionary phenomena. Dr. Wimsatt and Mr. Jeffrey Shank will extend prior simulations and analyses of a variety of cases and problems and investigations of a number of results on the evolution of gene control networks, extending not only their own work but that of S. A. Kauffman and others to investigate the influence of different degrees of generative entrenchment on the behavior of these networks and their evolution. Since virtually any system exhibits differential degrees of generative entrenchment among its parts and activities, these studies and results have in addition broad potential application for theoretical, simulation, and experimental analyses of developmental programs and their significance for evolution, macroevolutionary change, the innate-acquired distinction and investigations using it in linguistics and cognitive psychology, developmental constraints, and constraints on the evolution of complex adaptations and scientific change.

一个实体的生成性防御是衡量一个实体所生成的系统取决于实体已经证明，具有更高学位的实体的生成性防御倾向于更保守，这些系统的进化变化。复杂结构模型结合生殖防御的影响，证明了他们在分析和解释各种发展和进化的现象。 Wimsatt博士和先生。 Jeffrey Shank将扩展先前的模拟和分析，对案件和问题的调查以及对基因控制网络的进化，不仅扩展了它们自己的工作，但S。A.考夫曼和其他人调查了不同程度的生成性防御对这些网络的行为及其演变。因为几乎任何系统表现出不同程度的生成性防御，其部分和活动，这些研究和结果，此外，广泛的潜在应用的理论，模拟，发展项目的实验分析及其对进化的意义，宏观进化变化，先天获得的区别和利用它的调查，语言学和认知心理学，发展限制，制约复杂适应和科学的进化变化