scispace - formally typeset
Search or ask a question
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.


Papers
More filters
Journal ArticleDOI
TL;DR: An overview of CAS is given with emphasize on the occurrence of bad side effects to seemingly “wise” decisions and some conclusions on how to deal with this phenomena are proposed.

18 citations

Journal ArticleDOI
TL;DR: A model that is applicable to oral health education and describes the oral cavity in a complexity-based ecological context to encourage and promote an ecological, health-oriented view and to stimulate reflections on premises for oral health and diseases in an integrated context is proposed.
Abstract: We propose a model that is applicable to oral health education. The model describes the oral cavity in a complexity- based ecological context. This concept includes the premise that factors from different organisational levels (biological, individual, community, society) interact in a complex way with the potential to 'stress' the ecosystem and thereby provoke changes. This mode of action complies with the understanding of the oral cavity as a complex adaptive system. An ecological model is actively used in the undergraduate problem-based curriculum at the Faculty of Odontology, MalmoUniversity, Sweden and has recently been applied as a conceptual basis for the new dental curriculum being established at the University of Tromso in Northern Norway. The purpose is to encourage and promote an ecological, health-oriented view and to stimulate reflections on premises for oral health and diseases in an integrated context.

18 citations

Journal ArticleDOI
TL;DR: This article aims to provide a synopsis of agent-based modeling and how to adapt an agent- based research strategy for the scientific study of complex business systems.
Abstract: This article aims to provide a synopsis of agent-based modeling and how to adapt an agent-based research strategy for the scientific study of complex business systems. Agent-based systems have been a popular field of study in computer science for some time. While computer science-related research has been focused on the artifact itself, such as computational languages and algorithms, research in the management sciences is explicitly focused on business problems. Research in Information Systems (IS) has begun to advance knowledge in the use of agent-based systems as a means to seek different, computational explanations for business phenomena that have eluded scientific inquiry reliant on traditional—specifically, law and axiomatic—explanation (Kimbrough, 2003). The focus on business problems requires a different research approach than what is successful in computer science. Key modifications include first, the explicit articulation of benefits specific to the management sciences, and second, instrument validation.

18 citations

Journal ArticleDOI
TL;DR: Palombo et al. as discussed by the authors explored the characteristics of the self as a complex adaptive system and provided a foundation for a developmental theory based on principles from self psychology that also permitted the incorporation of some of the recent findings from neuroscience.
Abstract: The goal of this project has been to explore the characteristics of the self as a complex adaptive system. It began with the effort to provide a foundation for a developmental theory based on principles from self psychology that also permitted the incorporation of some of the recent findings from neuroscience. Part I (Palombo, 2013a) outlined some features of nonlinear dynamic systems theory and complexity science that provided the basis for a critique of traditional psychodynamic developmental theories. This critique was followed in Part II (Palombo, 2013b) with the proposal of a levels-of-analysis perspective as a methodology to organize the data on development, the three levels of analysis being the neuropsychological, the introspective, and the interpersonal. This article, Part III, outlines the trends that contributed to the revised view of development and proposes a set of processes that are consistent with a nonlinear dynamic perspective that govern human beings' mental activities during de...

18 citations

Journal ArticleDOI
TL;DR: A multi-agent-based simulation toolkit that uses autonomous, intelligent agents to represent the components of coevolving terrorist network (TNet) and counterterrorist network (CTNet), which is predicated on the proposition that adaptive agents can be used to describe the self-organised, emergent behaviour of TNets.
Abstract: This paper introduces a multi-agent-based simulation toolkit (called SOTCAC) that uses autonomous, intelligent agents to represent the components of coevolving terrorist network (TNet) and counterterrorist network (CTNet). The model (currently in development) is predicated on the proposition that adaptive agents can be used to describe the self-organised, emergent behaviour of TNets – conceived as complex adaptive systems – on three interrelated dynamical levels: (1) dynamics on networks, in which notional terrorist agents process and interpret information, search and acquire resources and adapt to other agents' actions; (2) dynamics of networks, in which the TNet itself is a fully dynamic, adaptive entity and whose agents build, maintain and modify the network's local (and therefore, collectively, its global) topology and (3) dynamics between networks, in which the TNet and CTNet mutually coevolve. The TNet's ‘goal’ is to achieve the critical infrastructure (of manpower, weapons, financial resources and ...

18 citations


Network Information
Related Topics (5)
Information system
107.5K papers, 1.8M citations
82% related
Empirical research
51.3K papers, 1.9M citations
81% related
Corporate governance
118.5K papers, 2.7M citations
78% related
The Internet
213.2K papers, 3.8M citations
77% related
Sustainability
129.3K papers, 2.5M citations
77% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202336
202269
2021120
2020132
2019152
2018191