Dynamics Of Complex Systems

By Y. Bar-Yam. 2019

1,833 citations recorded by the source corpus.

Overview: The Dynamics of Complex Systems-Examples, Questions, Methods and Concepts Introduction and Preliminaries Neural Networks I: Subdivision and Hierarchy Neural Networks II: Models of Mind Protein Folding I: Size Scaling of Time Protein Folding II: Kinetic Pathways Life I: Evolution-Origin of Complex Organisms Life II: Developmental Biology-Complex by Design Human Civilization I: Defining Complexity Human Civilization II: A Complex(ity) Transition.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/293db97cea03522f36ee34cac61f3b103bf8c91c

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In Artificial Intelligence

Citations in the corpus

The appropriate use of approximate entropy and sample entropy with short data sets (2012, background): “Given the time series f(n) = f(1), f(2), .”
Plankton functional type modelling : running before we can walk? (2005, background): “The outcome of these interactions is emergent behaviour giving rise to global dynamics that outlast any of the component parts (Bar-Yam, 1997).”
A review of sociotechnical systems theory: a classic concept for new command and control paradigms (2008, background): “Because in spite of all the time, effort and expense that feeds into the design of organisations (e.g. Davis 1977, Ritzer 1993), systems (e.g. Bar-Yam 1997), major projects (e.g. Morris and Hough 1987), consumer products (e.g. Green and Jordan 1999) and now NEC (e.g. Baxter 2005), what consistently…”
Converging Technologies for Improving Human Performance (2003, neutral): “The networked society enabled through NBIC convergence could explore new pathways in societal structures, in an increasingly complex system (Bar-Yam 1997).”
Supply-chain networks: a complex adaptive systems perspective (2005, background): “Such systems have been commonly referred to as Complex Systems (Baranger 2005, Bar-Yam 1997, Adami 1998, Flake 1998).”
Self-Organisation: Paradigms and Applications (2003, background): “More generally, the field of complex systems studies emergent phenomenon, and self-organisation [8].”
Productive Failure (2006, neutral): “For example, the role of individual and group prior knowledge, individual participation and level of inequity in group discussions, problem-centeredness of interactional activity, and so on are all important variables that need to be taken into account in explaining the variation in group as well as”
Assessing students' systems reasoning in ecology (2000, background): “Scientists and educators recognise the systems concept as an important framework for organising observations and explana tions in scientific and other disciplines (Hill and Redden, 1985; American Association for the Advancement of Science, 1993; Bar-Yam, 1997).”
Efficient behavior of small-world networks. (2001, background): “Coupled biological and chemical systems, neural networks, social interacting species, computer networks or the Internet are only few of such examples [1].”
Efficiency of scale-free networks: error and attack tolerance (2002, methodology): “ar X iv :c on d- m at /0 20 The concept of network efficiency, recently proposed to characterize the properties of small-world networks, is here used to study the effects of errors and attacks on scale-free networks.”
Self-organization of cognitive performance. (2003, background): “Criticality predicts scaling relations, which likely refer to a universal property (Bak, 1996; Bar-Yam, 1997; Jensen, 1998).”
Complex networks: Structure and dynamics (2006, background): “Many systems in nature and in technology are made by a large number of highly interconnected dynamical units [79].”