Topic
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.
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01 Jan 2019
TL;DR: The provision of services by the public sector is the result of a complex adaptive system at work, and involves a large number of stakeholders from different institutions and organisations as discussed by the authors, which is the case in many aspects of public service provision.
Abstract: The provision of services by the public sector is the result of a complex adaptive system at work, and involves a large number of stakeholders from different institutions and organisations. In the ...
17 citations
07 Apr 2015
TL;DR: The chapter describes the automation related notions, that is, automation and HAI, followed by the investigation of HAI models' evolution from the perspectives of dimensions and dynamism.
Abstract: This chapter expresses three cognitive genres: descriptive genre, normative/prescriptive genre, and know-how genre. The descriptive genre introduces and discusses on the following disciplines: the core concepts of complexity, complex adaptive system (CAS) of systems (CASoS), the application domains of human-automation interaction (HAI) and adaptive autonomy (AA), especially in Smart Grid, and two implementation ideas of expert systems and Petri nets. The chapter describes the automation related notions, that is, automation and HAI, followed by the investigation of HAI models' evolution from the perspectives of dimensions and dynamism. The idea of AA is then introduced as a dynamic HAI scheme, followed by the classification of AA implementation methods. Petri nets are introduced as powerful tools for modeling complex systems (CxS). Finally, Petri net realization of the adaptive autonomy expert system (AAES) is presented, followed by a performance evaluation study.
17 citations
TL;DR: There remain significant theoretical and conceptual barriers to using complexity as an explanatory model in social sciences, and thus in applying it successfully in integration and evaluation studies, and the paper aims to discuss these issues.
Abstract: Complexity received increasing attention from researchers in integration and evaluation studies. Complex adaptive systems are the most prominent formulation of complexity used in programme evaluations. However, there remain significant theoretical and conceptual barriers to using complexity as an explanatory model in social sciences, and thus in applying it successfully in integration and evaluation studies. The paper aims to discuss these issues.,Discussion paper outlining the potential uses and risks of complexity theory for studying integration programmes in health and social care and programme evaluations in general. The paper proceeds by synthesising the work of various critics and proponents of complexity theory in the social sciences and evaluation theory.,Complexity offers opportunities and risks to social scientists working in programme evaluations and integration studies. The opportunities are defined by additional modelling and verification/falsification of possible cause and effect links in programme settings. The risks, on the other hand, are twofold. Social scientists may use complexity as a shorthand for as yet insufficient understanding of the contexts under examination, or they mistake it for an explanatory device without testing its potential to explain. The second risk emerges as a result of the nature of complexity and its role in natural sciences. Assigning complexity an explanatory role may prevent further investigation of a given setting that may reveal that complexity is insufficient to understand what is going on.,Researchers should make clear how they have operationalised and measured the various features of the complexity model to allow robust verification of the evidence. Scholars should also assume that complexity as defined by the natural sciences is philosophically and epistemologically problematic when transferred into the realm of social sciences that largely operate with concepts informed by the paradigm of understanding social behaviour.
17 citations
TL;DR: This article examines the effectual networks and networking of 10 startups from Finland and offers a process-system model of effectual Networks, derived propositions that connect dynamic and structural entrepreneur-related factors of their emergence and outline directions for future research at the intersection of effectuation and complexity theory.
Abstract: The notion of effectual networks is one of the central concepts in the effectuation research. However, there has been little conceptual and empirical work on how they emerge and what structures the...
17 citations
TL;DR: An expansionist/context-sensitive system (CSS) paradigm, that includes the traditional reductionist/mechanistic view as a subset, is shown to facilitate understanding and designing complex adaptive systems (GAS).
Abstract: During the last ten years scientists in diverse fields such as economics, biology, and systems science have been asking the question, "What is it that makes some systems complex?" The traditional reductionist/mechanistic paradigm has failed to answer this system complexity question satisfactorily. An expansionist/context-sensitive system (CSS) paradigm, that includes the traditional reductionist/mechanistic view as a subset, is shown to facilitate understanding and designing complex adaptive systems (GAS). An expansionist system design and evaluation methodology, based on CSS theory, has been applied in a number of CAS applications, including distributed vehicle traffic control that is discussed in this paper as an example.
17 citations