scholarly journals Adaptive coevolutionary networks: a review

2007 ◽  
Vol 5 (20) ◽  
pp. 259-271 ◽  
Author(s):  
Thilo Gross ◽  
Bernd Blasius
Keyword(s):  
Game Theory ◽  
Complex Dynamics ◽  
Self Organization ◽  
Adaptive Networks ◽  
Biological Applications ◽  
Network Nodes ◽  
Topological Evolution ◽  
Recent Developments

Adaptive networks appear in many biological applications. They combine topological evolution of the network with dynamics in the network nodes. Recently, the dynamics of adaptive networks has been investigated in a number of parallel studies from different fields, ranging from genomics to game theory. Here we review these recent developments and show that they can be viewed from a unique angle. We demonstrate that all these studies are characterized by common themes, most prominently: complex dynamics and robust topological self-organization based on simple local rules.

scholarly journals Geometric Effect for Biological Reactors and Biological Fluids

2018 ◽  
Vol 5 (4) ◽  
pp. 110 ◽  
Author(s):  
Kazusa Beppu ◽  
Ziane Izri ◽  
Yusuke Maeda ◽  
Ryota Sakamoto
Keyword(s):  
Biological Fluids ◽  
Biological Systems ◽  
Self Organization ◽  
Active Matter ◽  
Confined Space ◽  
Self Organized ◽  
Motile Cells ◽  
Recent Developments ◽  
A Cell

As expressed “God made the bulk; the surface was invented by the devil” by W. Pauli, the surface has remarkable properties because broken symmetry in surface alters the material properties. In biological systems, the smallest functional and structural unit, which has a functional bulk space enclosed by a thin interface, is a cell. Cells contain inner cytosolic soup in which genetic information stored in DNA can be expressed through transcription (TX) and translation (TL). The exploration of cell-sized confinement has been recently investigated by using micron-scale droplets and microfluidic devices. In the first part of this review article, we describe recent developments of cell-free bioreactors where bacterial TX-TL machinery and DNA are encapsulated in these cell-sized compartments. Since synthetic biology and microfluidics meet toward the bottom-up assembly of cell-free bioreactors, the interplay between cellular geometry and TX-TL advances better control of biological structure and dynamics in vitro system. Furthermore, biological systems that show self-organization in confined space are not limited to a single cell, but are also involved in the collective behavior of motile cells, named active matter. In the second part, we describe recent studies where collectively ordered patterns of active matter, from bacterial suspensions to active cytoskeleton, are self-organized. Since geometry and topology are vital concepts to understand the ordered phase of active matter, a microfluidic device with designed compartments allows one to explore geometric principles behind self-organization across the molecular scale to cellular scale. Finally, we discuss the future perspectives of a microfluidic approach to explore the further understanding of biological systems from geometric and topological aspects.

scholarly journals THE DYNAMICS OF INTERNET TRAFFIC: SELF-SIMILARITY, SELF-ORGANIZATION, AND COMPLEX PHENOMENA

2011 ◽  
Vol 14 (06) ◽  
pp. 905-949 ◽  
Author(s):  
REGINALD D. SMITH
Keyword(s):  
Information Exchange ◽  
Complex Dynamics ◽  
Internet Traffic ◽  
Self Organization ◽  
The Internet ◽  
Biological Models ◽  
Self Similarity ◽  
Exchange Networks ◽  
Traffic Oscillations ◽  
Complex Phenomena

The Internet is one of the largest and most complex communication and information exchange networks ever created. Therefore, its dynamics and traffic unsurprisingly take on a rich variety of complex dynamics, self-organization, and other phenomena that have been researched for years. This paper is a review of the complex dynamics of Internet traffic. Departing from normal treatises, we will take a view from both the network engineering and physics perspectives showing the strengths and weaknesses as well as insights of both. In addition, many less covered phenomena such as traffic oscillations, BGP storms, and comparisons of the Internet and biological models will be covered.

scholarly journals Complex Dynamics in One-Dimensional Nonlinear Schrödinger Equations with Stepwise Potential

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-17
Author(s):  
Chiara Zanini ◽  
Fabio Zanolin
Keyword(s):  
Complex Dynamics ◽  
Neumann Boundary ◽  
Step Function ◽  
One Dimensional ◽  
Nonlinear Schrödinger ◽  
Existence And Multiplicity ◽  
Twist Maps ◽  
Topological Horseshoes ◽  
Recent Developments ◽  
The One

We prove the existence and multiplicity of periodic solutions as well as solutions presenting a complex behavior for the one-dimensional nonlinear Schrödinger equation -ε2u′′+V(x)u=f(u), where the potential V(x) approximates a two-step function. The term f(u) generalizes the typical p-power nonlinearity considered by several authors in this context. Our approach is based on some recent developments of the theory of topological horseshoes, in connection with a linked twist maps geometry, which are applied to the discrete dynamics of the Poincaré map. We discuss the periodic and the Neumann boundary conditions. The value of the term ε>0, although small, can be explicitly estimated.

Dynamics of self-organization in complex adaptive networks

1984 ◽  
Vol 34 (3-4) ◽  
pp. 361-379 ◽  
Author(s):  
D. d'Humi�res ◽  
B. A. Huberman
Keyword(s):  
Self Organization ◽  
Adaptive Networks ◽  
Complex Adaptive

Recent Developments in the Chemistry and in the Biological Applications of Amidoximes

2008 ◽  
Vol 14 (10) ◽  
pp. 1001-1047 ◽  
Author(s):  
K. Fylaktakidou ◽  
D. Hadjipavlou-Litina ◽  
K. Litinas ◽  
E. Varella ◽  
D. Nicolaides
Keyword(s):  
Biological Applications ◽  
Recent Developments

Recent developments in synthesis of embelin heterocyclic derivatives and their biological applications

2017 ◽  
Vol 72 (5) ◽  
pp. 1065-1080 ◽  
Author(s):  
Satish Gudala ◽  
Archi Sharma ◽  
V. Rajeswer Rao ◽  
Awanish Kumar ◽  
Santhosh Penta
Keyword(s):  
Biological Applications ◽  
Recent Developments ◽  
Heterocyclic Derivatives

scholarly journals Should we cooperate? Game theory insights for servitization

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Scott Wagstaff ◽  
Jamie Burton ◽  
Judy Zolkiewski
Keyword(s):  
Game Theory ◽  
Quantitative Methods ◽  
Complex Dynamics ◽  
Oil Industry ◽  
Cooperative Behaviour ◽  
Structured Interviews ◽  
Content Type ◽  
Qualitative And Quantitative Methods ◽  
Cooperative Approach ◽  
The Impact

PurposeAn abundance of literature suggests that organisations adopting a cooperative approach achieve greater rewards than those that act in opposition or isolation. An emerging body of work also highlights the multiple actors involved in servitization. Despite this, in some contexts the benefits of servitization are not apparent. This paper examines business relationships in the oil industry and how they affect levels of servitization.Design/methodology/approachA mixed method study employing qualitative and quantitative methods was used to fully explore the context. In the quantitative phase, 48 oil industry specialists responded to a scenario based on game theory. This aimed to determine if the relationships between their respective organisations are cooperative or adversarial. Abduction drove a second qualitative phase. This consisted of a series of semi-structured interviews used to explore the servitization level and influence of servitization on relationships and vice versa.FindingsThe statistical results suggest that all parties used adversarial strategies despite the publicised intent to work cooperatively. The interviews suggested that increasing (decreasing) servitization could increase (decrease) cooperation and, in turn, value co-creation but revealed nuances to this effect. It also adds to our understanding of the darker side of servitization by illustrating the impact of mimetic isomorphism.Originality/valueThe findings add to understanding of the complex dynamics around servitization by showing that it is only at advanced levels of servitization that cooperative behaviour is observed, and base and intermediate levels result in non-cooperative behaviour and thus illustrate the importance of adopting a multi-actor lens to explore servitization.

scholarly journals From linear to metric functional analysis

2021 ◽  
Vol 118 (28) ◽  
pp. e2107069118
Author(s):  
Anders Karlsson
Keyword(s):  
Game Theory ◽  
Functional Analysis ◽  
Fixed Point ◽  
Deep Learning ◽  
Evolution Equations ◽  
Complex Dynamics ◽  
Surface Topology ◽  
Metric Geometry ◽  
Pure Mathematics ◽  
The Mean

This article presents the beginning of a metric functional analysis. A major notion is metric functionals which extends that of horofunctions in metric geometry. Applications of the main tools are found in a wide variety of subjects such as random walks on groups, complex dynamics, surface topology, deep learning, evolution equations, and game theory, thus branching well outside of pure mathematics. In several cases, linear notions fail to describe linear phenomena that are naturally captured by metric concepts. An extension of the mean ergodic theorem testifies to this. A general metric fixed-point theorem is also proved.

Heterogeneity and Self-Organization of Complex Systems Through an Application to Financial Market with Multiagent Systems

2017 ◽  
Vol 27 (14) ◽  
pp. 1750219 ◽  
Author(s):  
Iris Lucas ◽  
Michel Cotsaftis ◽  
Cyrille Bertelle
Keyword(s):  
Financial Markets ◽  
Multiagent Systems ◽  
Financial Market ◽  
Complex Dynamics ◽  
Global Market ◽  
Self Organization ◽  
Empirical Literature ◽  
Agent Based ◽  
Multi Scale ◽  
And Behavior

Multiagent systems (MAS) provide a useful tool for exploring the complex dynamics and behavior of financial markets and now MAS approach has been widely implemented and documented in the empirical literature. This paper introduces the implementation of an innovative multi-scale mathematical model for a computational agent-based financial market. The paper develops a method to quantify the degree of self-organization which emerges in the system and shows that the capacity of self-organization is maximized when the agent behaviors are heterogeneous. Numerical results are presented and analyzed, showing how the global market behavior emerges from specific individual behavior interactions.

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