Studying Complex Adaptive Systems

@article{Holland2006StudyingCA,
  title={Studying Complex Adaptive Systems},
  author={John H. Holland},
  journal={Journal of Systems Science and Complexity},
  year={2006},
  volume={19},
  pages={1-8}
}
  • J. Holland
  • Published 1 March 2006
  • Computer Science
  • Journal of Systems Science and Complexity
Complex adaptive systems (cas) – systems that involve many components that adapt or learn as they interact – are at the heart of important contemporary problems. The study of cas poses unique challenges: Some of our most powerful mathematical tools, particularly methods involving fixed points, attractors, and the like, are of limited help in understanding the development of cas. This paper suggests ways to modify research methods and tools, with an emphasis on the role of computer-based models… 
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  • Computer Science
    Journal of Machine and Computing
  • 2021
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This article didactically explain a theoretical and analytic strategy for comprehending and engaging with the complicated processes of the authors' environment rather than giving a complete overview.
Identifying Self-Organization and Adaptability in Complex Adaptive Systems
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This paper presents an observation tool, part of a complex adaptive systems modeling framework, that allows for the analysis of these metrics for large-scale complex models and compares and contrast a wide range of metrics implemented in the observation tool.
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In this thesis, it is shown, that the analysis of smilingly different CAS coming from different domains, can be performed by following the same recipe.
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Using a dense unorganized network of synthetic synapses it is shown that a complex adaptive system can be physically created on a microchip built especially for complex problems.
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This paper shares a discussion that took place between some experts thinking about CAS engineering, focusing on the social implication of CASs and related open research challenges, and hopes that this provides a useful context for future research projects, research grant proposals, and research directions.
A framework and Language for Complex Adaptive System modeling and simulation
TLDR
An extension to CASL that introduces the concept of ‘semantic grouping’ allows for large scale simulations to execute on relatively modest hardware and an extensible and expandable set of metrics to study key features of CAS such as aggregation, adaptability, and modularity.
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This entry introduces some of the main concepts and methods of the science studying complex, self-organizing systems, and networks, in a nontechnical manner, and has obvious applications in information science when studying networks of authors and their publications.
A Framework for Large Scale Complex Adaptive Systems Modeling, Simulation, and Analysis
TLDR
A language, Complex Adaptive Systems Language (CASL), is proposed, designed for simple creation of CAS models while remaining domain agnostic, and an extension to CASL, called CASL-SG, that introduces the concept of 'semantic grouping' allows for large scale simulations to execute on relatively modest hardware.
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