scholarly journals Unified “micro”- and “macro-” evolution of eco-systems: self-organization of a dynamic network

2004 ◽  
Vol 336 (1-2) ◽  
pp. 102-111 ◽  
Author(s):  
Dietrich Stauffer ◽  
Debashish Chowdhury
Keyword(s):  
Dynamic Network ◽  
Self Organization

scholarly journals Seven Properties of Self-Organization in the Human Brain

2020 ◽  
Vol 4 (2) ◽  
pp. 10
Author(s):  
Birgitta Dresp-Langley
Keyword(s):  
Adaptive Learning ◽  
Functional Organization ◽  
Dynamic Network ◽  
General Purpose ◽  
Self Organization ◽  
Functional Plasticity ◽  
Resonance Theory ◽  
Network Growth ◽  
Strong Artificial Intelligence ◽  
Computational Philosophy

The principle of self-organization has acquired a fundamental significance in the newly emerging field of computational philosophy. Self-organizing systems have been described in various domains in science and philosophy including physics, neuroscience, biology and medicine, ecology, and sociology. While system architecture and their general purpose may depend on domain-specific concepts and definitions, there are (at least) seven key properties of self-organization clearly identified in brain systems: (1) modular connectivity, (2) unsupervised learning, (3) adaptive ability, (4) functional resiliency, (5) functional plasticity, (6) from-local-to-global functional organization, and (7) dynamic system growth. These are defined here in the light of insight from neurobiology, cognitive neuroscience and Adaptive Resonance Theory (ART), and physics to show that self-organization achieves stability and functional plasticity while minimizing structural system complexity. A specific example informed by empirical research is discussed to illustrate how modularity, adaptive learning, and dynamic network growth enable stable yet plastic somatosensory representation for human grip force control. Implications for the design of “strong” artificial intelligence in robotics are brought forward.

On the Design of Self-Organizing Ad Hoc Networks

2010 ◽  
pp. 248-262 ◽  
Author(s):  
Carlos M. S. Figueiredo ◽  
Antonio Alfredo F. Loureiro
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Networks ◽  
Ad Hoc ◽  
Dynamic Network ◽  
Self Organization ◽  
Autonomous Operation ◽  
Ubiquitous Systems ◽  
Hoc Networks ◽  
Important Design ◽  
Self Organizing

Self-organization concept has become very important to the vision of pervasive and ubiquitous systems because such systems are expected to be composed by lots of interconnected computing devices immersed in the environments. In particular, general Mobile Ad hoc networks, and their specializations such as Sensor and Vehicular networks can be seen as the main technologies for pervasive infra-structures. These networks were conceived under the self-organization paradigm due to many characteristics such as a high number of devices, dynamic network topology and the need of autonomous operation. Although several mechanism and techniques for achieving self-organizing behavior are already applied, there is still the lack of general methodologies for the design of new self-organizing functions. Thus, this chapter will present an overview of self-organizing networks introducing important functions and techniques, and it will focus on important design aspects that can be useful to new designs.

scholarly journals SELF-ORGANIZATION APPLIED TO DYNAMIC NETWORK LAYOUT

2007 ◽  
Vol 18 (10) ◽  
pp. 1537-1549 ◽  
Author(s):  
MARKUS M. GEIPEL
Keyword(s):  
Design Space ◽  
Dynamic Network ◽  
Systems Design ◽  
Self Organization ◽  
Network Visualization ◽  
Systems Research ◽  
Network Layout ◽  
Repulsive Forces ◽  
New Algorithms ◽  
Dynamic Layout

As networks and their structure have become a major field of research, a strong demand for network visualization has emerged. We address this challenge by formalizing the well established spring layout in terms of dynamic equations. We thus open up the design space for new algorithms. Drawing from the knowledge of systems design, we derive a layout algorithm that remedies several drawbacks of the original spring layout. This new algorithm relies on the balancing of two antagonistic forces. We thus call it arf for "attractive and repulsive forces". It is, as we claim, particularly suited for a dynamic layout of smaller networks (n < 103). We back this claim with several application examples from ongoing complex systems research.

scholarly journals Self-organization in natural swarms of Photinus carolinus synchronous fireflies

2021 ◽  
Vol 7 (28) ◽  
pp. eabg9259
Author(s):  
Raphaël Sarfati ◽  
Julie C. Hayes ◽  
Orit Peleg
Keyword(s):  
Collective Behavior ◽  
Three Dimensional ◽  
Dynamic Network ◽  
Theoretical Models ◽  
Self Organization ◽  
Three Dimensional Reconstruction ◽  
Visual Occlusion ◽  
Photinus Carolinus ◽  
Dimensional Reconstruction ◽  
Synchronization Mechanisms

Fireflies flashing in unison is a mesmerizing manifestation of animal collective behavior and an archetype of biological synchrony. To elucidate synchronization mechanisms and inform theoretical models, we recorded the collective display of thousands of Photinus carolinus fireflies in natural swarms, and provide the first spatiotemporal description of the onset of synchronization. At low firefly density, flashes appear uncorrelated. At high density, the swarm produces synchronous flashes within periodic bursts. Using three-dimensional reconstruction, we demonstrate that flash bursts nucleate and propagate across the swarm in a relay-like process. Our results suggest that fireflies interact locally through a dynamic network of visual connections defined by visual occlusion from terrain and vegetation. This model illuminates the importance of the environment in shaping self-organization and collective behavior.

scholarly journals Self-organization in natural swarms of Photinus carolinus synchronous fireflies

2021 ◽  
Author(s):  
Raphaël Sarfati ◽  
Julie C. Hayes ◽  
Orit Peleg
Keyword(s):  
Collective Behavior ◽  
Three Dimensional ◽  
Dynamic Network ◽  
Theoretical Models ◽  
Self Organization ◽  
Three Dimensional Reconstruction ◽  
Visual Occlusion ◽  
Photinus Carolinus ◽  
Dimensional Reconstruction ◽  
Synchronization Mechanisms

Fireflies flashing in unison is a mesmerizing manifestation of animal collective behavior and an archetype of biological synchrony. To elucidate synchronization mechanisms and inform theoretical models, we recorded the collective display of thousands of Photinus carolinus fireflies in natural swarms, and provide the first spatiotemporal description of the onset of synchronization. At low firefly density, flashes appear uncorrelated. At high density, the swarm produces synchronous flashes within periodic bursts. Using three-dimensional reconstruction, we demonstrate that flash bursts nucleate and propagate across the swarm in a relay-like process. Our results suggest that fireflies interact locally through a dynamic network of visual connections defined by visual occlusion from terrain and vegetation. This model illuminates the importance of the environment in shaping self-organization and collective behavior.

Review of Self-Organization and Clinical Psychology.

1994 ◽  
Vol 39 (9) ◽  
pp. 916-916
Author(s):  
Terri Gullickson
Keyword(s):  
Clinical Psychology ◽  
Self Organization
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