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Titlebook: Complex Adaptive Systems; Views from the Physi Ted Carmichael,Andrew J. Collins,Mirsad Had?ikadi? Book 2019 Springer Nature Switzerland AG

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發(fā)表于 2025-3-21 17:04:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Complex Adaptive Systems
副標(biāo)題Views from the Physi
編輯Ted Carmichael,Andrew J. Collins,Mirsad Had?ikadi?
視頻videohttp://file.papertrans.cn/232/231338/231338.mp4
概述Presents recent research on complex adaptive systems.Includes the main research findings of the papers presented at the AAAI CAS Fall Symposia Series, held in November in Arlington, VA, in 2009, 2010,
叢書名稱Understanding Complex Systems
圖書封面Titlebook: Complex Adaptive Systems; Views from the Physi Ted Carmichael,Andrew J. Collins,Mirsad Had?ikadi? Book 2019 Springer Nature Switzerland AG
描述?This book emerged out of international conferences organized as part of the AAAI Fall Symposia series, and the Swarmfest 2017 conference. It brings together researchers from diverse fields studying these complex systems using CAS and agent-based modeling tools and techniques. In the past, the knowledge gained in each domain has largely remained exclusive to that domain. By bringing together scholars who study these phenomena, the book takes knowledge from one domain to provide insight into others..Most interesting phenomena in natural and social systems include constant transitions and oscillations among their various phases –? wars, companies, societies, markets, and humans rarely stay in a stable, predictable state for long. Randomness, power laws, and human behavior ensure that the future is both unknown and challenging. How do events unfold? When do they take hold? Why do some initial events cause an avalanche while others do not? What characterizes these events? What are the thresholds that differentiate a sea change from a non-event?.Complex adaptive systems (CAS) have proven to be a powerful tool for exploring these and other related phenomena. The authors characterize a ge
出版日期Book 2019
關(guān)鍵詞Agent-based Modeling; Complex Adaptive Systems; Complexity; Swarm Intelligence; Computational Social Sci
版次1
doihttps://doi.org/10.1007/978-3-030-20309-2
isbn_ebook978-3-030-20309-2Series ISSN 1860-0832 Series E-ISSN 1860-0840
issn_series 1860-0832
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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The Fundamentals of Complex Adaptive Systems,t attempt to do exactly this, including some of our previous work. Though there is not complete agreement on all aspects and definitions in this field, this introduction also summarizes our understanding of what defines a CAS, including the concepts of complexity, agents, adaptation, feedbacks, emer
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Simulating the Ridesharing Economy: The Individual Agent Metro-Washington Area Ridesharing Model (Il gains of drivers for a 24?hour period under two scenarios and two spatial movement behaviors. The two spatial behaviors were random movement and Voronoi movement, which we describe. Both movement behaviors were tested under a stationary run conditions scenario and a variable run conditions scenari
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Strategic Group Formation in the El Farol Bar Problem,trategy pool with group size. We had hypothesized that including strategic group formation will increase overall social welfare, but our analysis shows that allowing agent groups results in a undesirable scenario for all agents; this is due to the limited rationality of the agents.
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Teaching Complexity as Transdisciplinarity,ties. Students are given a grounding in both thermodynamics and information processing to understand how any kind of self-organizing system may evolve according the same generative principles, be it an ecosystem, a stream of consciousness, an industry, or a genre of art. As students see the prevalen
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1860-0832 e the thresholds that differentiate a sea change from a non-event?.Complex adaptive systems (CAS) have proven to be a powerful tool for exploring these and other related phenomena. The authors characterize a ge978-3-030-20309-2Series ISSN 1860-0832 Series E-ISSN 1860-0840
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