Methods and Techniques of Complex Systems Science: An Overview

@article{Shalizi2006MethodsAT,
  title={Methods and Techniques of Complex Systems Science: An Overview},
  author={Cosma Rohilla Shalizi},
  journal={arXiv: Adaptation and Self-Organizing Systems},
  year={2006},
  pages={33-114}
}
  • C. Shalizi
  • Published 2006
  • Computer Science, Physics, Biology
  • arXiv: Adaptation and Self-Organizing Systems
In this chapter, I review the main methods and techniques of complex systems science. As a first step, I distinguish among the broad patterns which recur across complex systems, the topics complex systems science commonly studies, the tools employed, and the foundational science of complex systems. The focus of this chapter is overwhelmingly on the third heading, that of tools. These in turn divide, roughly, into tools for analyzing data, tools for constructing and evaluating models, and tools… Expand
Practical investigations of complex systems
TLDR
It is a demonstration that even for this field, the concrete application of predictive experiments set up to challenge the extent of the main notions proves fruitful, and a call for a more classical and practical approach to Complexity. Expand
Introduction to philosophy of complex systems: A: part A: towards a framework for complex systems
TLDR
The present essay is designed to introduce and broadly review the domain of complex systems, with an eye to identifying the historical setting, the key systems properties at issue and a collection of sub-domains that do not receive treatment in a dedicated essay. Expand
Complex Systems: Phenomenology, Modeling, Analysis
In this paper a short overview on complex systems and their basic features, as well as the models and mathematical tools developed for their analysis, is given. This review is formed according to theExpand
Computation in Complex Systems
TLDR
This approach seeks a fundamental understanding of how collective behaviour results from these interactions between simple individuals, examining both natural and man-made systems as apparently diverse as insect colonies, the brain, the immune system, economies and the world wide web. Expand
Methodological Issues in the Study of Complex Systems
From an engeneering perspective, it is well known that numerous problems hamper the proper control and prediction of complex systems which are essential for the reproducibility of their behavior. InExpand
Approaches to the Development of Complex Systems Models
  • T. Buldakova
  • Computer Science
  • 2019 XXI International Conference Complex Systems: Control and Modeling Problems (CSCMP)
  • 2019
TLDR
The paper discusses the problem of mathematical formalization and creation of models of complex systems under uncertainty, and the key point in the development of the information model is to check its suitability for the solution of the practical problem associated with the assessment of adequacy in relation to the properties of the object of interest. Expand
Dynamical systems of interacting units: Information transport and higher order structures
How can one model, characterize and analyse systems consisting of a large number of interacting units? This thesis addresses various related aspects of this issue using dynamical systems theory. TheExpand
A New Kind Methodology for Controlling Complex Systems
TLDR
The paper introduces a formal way to completely describe the formation and dynamics of emergence in complex systems and indicates the Emergence-Oriented Control methodology that contains three kinds of basic control schemes: the direct control, the system re-structuring and the system calibration. Expand
A Multidisciplinary Approach to Complex Systems Design
TLDR
It is argued that this approach can extend the domain of applicability of the discipline of complex systems into situations where quantitative data is unavailable, and human and social factors are significant. Expand
Introduction to Philosophy of Complex Systems
Publisher Summary The complex systems revolution is currently exploding through science, transforming its concepts, principles, methods and conclusions. It is also transforming its disciplinaryExpand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 404 REFERENCES
Modeling Complex Systems
This book by Nino Boccara presents a compilation of model systems commonly termed as `complex'. It starts with a definition of the systems under consideration and how to build up a model to describeExpand
The Computational Beauty of Nature: Computer Explorations of Fractals, Chaos, Complex Systems and Adaptation
  • G. Flake
  • Computer Science, Mathematics
  • 1998
TLDR
This book develops in depth the simple idea that recurrent rules can produce rich and complicated behaviors, and explores what he considers to be today's four most interesting computational topics: fractals, chaos, complex systems, and adaptation. Expand
“The arrival of the fittest”: Toward a theory of biological organization
TLDR
In this system self-maintaining organizations arise as a generic consequence of two features of chemistry, without appeal to natural selection, and are held as calling for increased attention to the structural basis of biological order. Expand
The Sciences of the Artificial
The Architecture of Complexity: Hierarchic Systems
This chapter contains sections titled: Hierarchic Systems, Social Systems, Biological and Physical Systems, Symbolic Systems, The Evolution of Complex Systems, Biological Evolution, Evolution ofExpand
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
TLDR
Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways. Expand
On the nature and origin of complexity in discrete, homogeneous, locally-interacting systems
The observed complexity of nature is often attributed to an intrinsic propensity of matter to self-organize under certain (e.g., dissipative) conditions. In order better to understand and test thisExpand
Probability, Random Processes, And Ergodic Properties
Probability, Random Processes, and Ergodic Properties is for mathematically inclined information/communication theorists and people working in signal processing. It will also interest those workingExpand
Predictability: a way to characterize complexity
Abstract Different aspects of the predictability problem in dynamical systems are reviewed. The deep relation among Lyapunov exponents, Kolmogorov–Sinai entropy, Shannon entropy and algorithmicExpand
Putting intentions into cell biochemistry: an artificial intelligence perspective.
TLDR
It is shown how the Artificial Intelligence description method for deliberative agents functioning on the basis of beliefs, desires and intentions as known in Artificial Intelligence can be used successfully to describe essential aspects of cellular regulation. Expand
...
1
2
3
4
5
...