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Complex adaptive system

About: Complex adaptive system is a research topic. Over the lifetime, 3190 publications have been published within this topic receiving 111947 citations. The topic is also known as: Complex adaptive system, CAS.


Papers
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Journal ArticleDOI
TL;DR: A view of organizations as complex adaptive systems is adopted and a case for making organizations more complex internally through the use of a fairly simple managerial rule - using participative decision making is made.
Abstract: This paper adopts a view of organizations as complex adaptive systems and makes a case for making organizations more complex internally through the use of a fairly simple managerial rule - using participative decision making. Participation in decision making enhances connectivity in organizations, which in turn, gives the organization the opportunity to self-organize and co-evolve in more effective ways than when there is minimal connectivity (i.e., autocracy). The paper uses a specific body of research to support the arguments about why participation can benefit the practice of management in modern organizations.

144 citations

Posted Content
TL;DR: In this paper, the authors present a four-year ethnographic study of a public-sector organization and use narrative to describe its development in terms of four complexity theory concepts: sensitivity to initial conditions, negative and positive feedback processes, disequilibrium and emergent order.
Abstract: We present a four-year ethnographic study of a public-sector organization and use narrative to describe its development in terms of four complexity theory concepts: sensitivity to initial conditions, negative and positive feedback processes, disequilibrium and emergent order. Our study indicates that order emerges at the boundary between the organization's legitimate and shadow systems. We suggest that the underlying dynamic leading to the emergent order is the need to reduce anxiety. Our findings cause us to question the assertion that organizations are naturally complex adaptive systems producing novel forms of order. We propose an alternate view that in social systems, equilibrium-seeking behaviour is the norm; such systems can self-organize into hierarchy. We draw attention to some of the difficulties we found in applying complexity-theory concepts to a social system and conclude by advocating the development of complexity theory through the incorporation of insights from psychology and social theory.

143 citations

Book
01 Mar 2007
TL;DR: Complex Adaptive Systems An Introduction To Computational Models Of Social Life Princeton Studies In Complexity *FREE* complex adaptive systems an introduction to computational models of social life princeton studies in complexity Computational science is a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems.
Abstract: Complex Adaptive Systems An Introduction To Computational Models Of Social Life Princeton Studies In Complexity *FREE* complex adaptive systems an introduction to computational models of social life princeton studies in complexity Computational science (also scientific computing or scientific computation (SC)) is a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems.It is an area of science which spans many disciplines, but at its core it involves the development of models and simulations to understand natural systems.Computational science Wikipedia Computational science also scientific computing or scientific computation SC is a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems It is an area of science which spans many disciplines but at its core it involves the development of models and simulations to understand natural systems Chaos theory Wikipedia Chaos theory is a branch of mathematics focusing on the behavior of dynamical systems that are highly sensitive to initial conditions Chaos is an interdisciplinary theory stating that within the apparent randomness of chaotic complex systems there are underlying patterns constant feedback loops repetition self similarity fractals self organization and reliance on programming at the NetSci Schedule The University of Vermont Complex Peter S Dodds Director of the Vermont Complex Systems Center Professor UVM Department of Mathematics and Statistics Peter s research focuses on system level big data problems in many areas including language and stories sociotechnical systems Earth sciences biology and ecology Answering Schrödinger s question A free energy formulation

143 citations

Book
01 Oct 1999
TL;DR: The Business World Turned Upside Down Order from the Bottom Up: Complex Adaptive Systems and Their Management
Abstract: Preface: The Business World Turned Upside Down Order from the Bottom Up: Complex Adaptive Systems and Their Management The End of Economic Certainty Leadership and Influence: The Managers as Coach, Nanny, and Artificial DNA Tags: The Power of Labels in Shaping Markets and Organizations Complex Adaptive Knowledge Management: A Case from McKinsey @ Company Seven Levers for Guiding the Evolving Enterprise Heterachy: Distributing Authority and Organizing Diversity Adaptive Operations: Creating Business Processes That Evolve Buying and Selling in the Digital Age: An Ever-Increasing Bandwidth of Desire Emergent Law and Order: Lessons in Regulation, Dispute Resolution, and Lawmaking for Electronic Commerce and Community.

142 citations

Book ChapterDOI
TL;DR: In this article, a summary overview of the fast-developing field of "artificial life" is presented, stressing aspects that seem especially relevant for the study of decentralized market economies.
Abstract: This paper presents a summary overview of the fast-developing field of "artificial life," stressing aspects that seem especially relevant for the study of decentralized market economies. In particular, recent artificial life work combining evolutionary game theory with preferential partner selection is described in some detail. This work is currently being applied to the endogenous formation and evolution of trade networks.

142 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202336
202269
2021120
2020132
2019152
2018191