MOD: Co-Evolution of Innovative Products by Purposive Agents and the Growth of Technological Complexity

MOD：有目的的代理创新产品的共同进化与技术复杂性的增长

• 批准号: 0915657
• 负责人: Robert Axtell
• 金额: $ 39.85万
• 依托单位: George Mason University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-15 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0915657&HistoricalAwards=false
• 关键词: MOD; Co; Evolution; Innovative; Products

Innovation is a driving force in the economy, and is often accompanied by technological complexity. Innovation can naturally be modeled as the co-evolution of a variety of economic goods accomplished by purposive individuals. This project draws on the research literature associated with biological evolution together with more conventional economic models of technological innovation in order to create an agent-based computational model in which purposive actors (simulated as agents) invent new projects, new products diffuse into the economy, the number and diversity of economic goods increases over time, and the technological complexity of the economy grows alongside the agents? welfare. Intellectual MeritThis class of models is capable of generating many of the stylized features of actual innovation systems, such as perpetual change, creative destruction, continuously increasing human living standards, and complex chains of inter-related technologies. By creating a high-fidelity model of the technological innovation process, a better understanding of how policy catalyzes innovation is developed. This is a fertile time to make cross-disciplinary approaches to models of innovation, by mixing state-of-the-art computer science techniques with what is known today about innovation within the social sciences. This project includes elements from evolutionary computation, social network analysis, and behavioral economics, and promises to be a new way to investigate the science of science policy.Broader Impacts: Innovation affects all aspects of modern life, and broader impacts are implicitly part of any improved understanding of scientific discovery and industrial commercialization processes. Specifically, the project exposes the kinds of models built by this research to a variety of audiences outside the basic research community. The outstanding Thomas Jefferson High School for Science and Technology, near George Mason University, is the location of one such outreach activity. There, seniors in computer science classes may elect to execute a year-long project on a topic of their choice. Increasingly, they choose topics in the social sciences and build agent-based models to realize them. The researchers on this project work with computer science teachers there to engage some of their students to work on models related to science and technology policy.

创新是经济的驱动力，往往伴随着技术的复杂性。 创新可以自然地被建模为由有目的的个人完成的各种经济商品的共同进化。 该项目借鉴了与生物进化相关的研究文献，以及更传统的技术创新经济模型，以创建一个基于代理的计算模型，其中有目的的行为者（模拟为代理人）发明新项目，新产品扩散到经济中，经济商品的数量和多样性随着时间的推移而增加，经济的技术复杂性随着代理人的增长而增长。福利这类模型能够产生实际创新系统的许多程式化特征，例如永久性变化、创造性破坏、不断提高的人类生活水平以及相互关联的技术的复杂链。 通过创建技术创新过程的高保真模型，可以更好地理解政策如何催化创新。 这是一个肥沃的时间，使跨学科的方法来创新的模型，通过混合国家的最先进的计算机科学技术与什么是今天已知的创新在社会科学。 该项目包含了进化计算、社会网络分析和行为经济学的元素，有望成为研究科学政策科学的一种新方法。更广泛的影响：创新影响着现代生活的方方面面，更广泛的影响隐含着对科学发现和工业商业化过程的任何改进理解的一部分。 具体而言，该项目将本研究构建的各种模型展示给基础研究社区以外的各种受众。 杰出的托马斯杰斐逊科学技术高中，靠近乔治梅森大学，是这样一个推广活动的地点。 在那里，计算机科学课程的高年级学生可以选择执行一个为期一年的项目，主题是他们选择的。 他们越来越多地选择社会科学的主题，并建立基于代理的模型来实现它们。该项目的研究人员与那里的计算机科学教师合作，让他们的一些学生参与与科学和技术政策相关的模型。