创新生态系统动态、价值和学习 I:汉密尔顿能告诉我们什么?

IF 1 4区 工程技术 Q4 INSTRUMENTS & INSTRUMENTATION Insight Pub Date : 2024-10-08 DOI:10.1002/inst.12504
William D. Schindel
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引用次数: 0

摘要

IS2024 在爱尔兰都柏林举行,邀请我们重新认识爱尔兰最伟大的数学家--都柏林圣三一学院天文学教授、爱尔兰皇家天文学家威廉-罗文-汉密尔顿爵士(1805-1865 年)--对系统工程的贡献。他对科学、技术、工程和数学(STEM)的深远贡献值得系统界更多关注。在理论与实践的支持下,他们交叉了 INCOSE 的未来系统工程 (FuSE) 计划的基础与应用流。引人注目的是,其关键方面适用于所有类型的系统,包括社会技术系统和信息系统。汉密尔顿为所有系统抽象出了类似能量的动态生成器,同时还概括了动量。将其应用于作为学习、发展和生命周期管理动力的 INCOSE 创新生态系统模式,提出了在创新企业中整合数字线程和机器学习的架构,以及作为动力系统的系统工程的基础。
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Innovation Ecosystem Dynamics, Value and Learning I: What Can Hamilton Tell Us?

Held in Dublin, Ireland, IS2024 invites us to refresh understanding of contributions to systems engineering by Ireland's greatest mathematician— Sir William Rowan Hamilton (1805–1865), professor of astronomy at Trinity College Dublin and royal astronomer of Ireland. His profound contributions to science, technology, engineering, and math (STEM) deserve greater systems community attention. Supporting theory and practice, they intersect foundations and applications streams of INCOSE's future of systems engineering (FuSE) program. Strikingly, key aspects apply to systems of all types, including socio-technical and information systems. Hamilton abstracted the energy-like generator of dynamics for all systems, while also generalizing momentum. Applied to the INCOSE innovation ecosystem pattern as dynamics of learning, development, and life cycle management, this suggests an architecture for integration of the digital thread and machine learning in innovation enterprises, along with foundations of systems engineering as a dynamical system.

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来源期刊
Insight
Insight 工程技术-材料科学:表征与测试
CiteScore
1.50
自引率
9.10%
发文量
0
审稿时长
2.8 months
期刊介绍: Official Journal of The British Institute of Non-Destructive Testing - includes original research and devlopment papers, technical and scientific reviews and case studies in the fields of NDT and CM.
期刊最新文献
ISSUE INFORMATION Innovation Ecosystem Dynamics, Value and Learning I: What Can Hamilton Tell Us? Realizing the Promise of Digital Engineering: Planning, Implementing, and Evolving the Ecosystem Requirements Statements Are Transfer Functions: An Insight from Model-Based Systems Engineering Feelings and Physics: Emotional, Psychological, and Other Soft Human Requirements, by Model-Based Systems Engineering
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