Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Phase Transitions02:31

Phase Transitions

Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to occupy...
Phase Transitions01:21

Phase Transitions

A phase transition is the process in which a substance changes from one state of matter to another, like from a solid to a liquid, liquid to gas, or vice versa, at a specific temperature and under given pressure conditions. This change is spontaneous and is affected by alterations in temperature and pressure. These parameters impact the strength of the forces between molecules (intermolecular forces) in the substance.During a phase transition, both the initial and final phases of the substance...
Dynamic Equilibrium02:20

Dynamic Equilibrium

A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
Entropy Changes Accompanying Specific Processes01:21

Entropy Changes Accompanying Specific Processes

Entropy, a measure of disorder in a system, changes during phase transitions like freezing or boiling. At the transition temperature Ttrs, where two phases are in equilibrium, the phase transition is a reversible process. The entropy change can be calculated from a substance's enthalpy of transition using the equation ΔStrs = ΔtrsH /Ttrs.When a perfect gas expands isothermally from one volume to another, entropy increases logarithmically with volume. Conversely, isothermal compression results...
Second Order systems II01:18

Second Order systems II

In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
If  ζ...
Speciation Rates01:07

Speciation Rates

Speciation can proceed at markedly different rates, and evolutionary biologists commonly describe these differences through the models of gradualism and punctuated equilibrium. Both patterns explain how new species arise, but they differ in the tempo and continuity of evolutionary change. In both cases, evolutionary change arises from heritable variation within populations, with natural selection often shaping traits that improve survival and reproduction under specific environmental conditions.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Perceptual interventions ameliorate statistical discrimination in learning agents.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Emotions and courtship help bonded pairs cooperate, but emotional agents are vulnerable to deceit.

Proceedings of the National Academy of Sciences of the United States of America·2023
Same author

The α-Catenin mechanosensing M region is required for cell adhesion during tissue morphogenesis.

The Journal of cell biology·2022
Same author

Quantifiable Intravital Light Sheet Microscopy.

Methods in molecular biology (Clifton, N.J.)·2022
Same author

Wnt signaling regulates neural plate patterning in distinct temporal phases with dynamic transcriptional outputs.

Developmental biology·2020
Same author

Simulating exploration versus exploitation in agent foraging under different environment uncertainties.

The Behavioral and brain sciences·2019
Same journal

RNA-ligand complexes and the attenuation of neutral confinement in the evolution of RNA secondary structures.

Journal of the Royal Society, Interface·2026
Same journal

Individual detachment-reintegration events in homing pigeon flocks and the dominance of directional adjustment in their kinematic features.

Journal of the Royal Society, Interface·2026
Same journal

Thermal stress disrupts symbiotic fluid dynamics in bobtail squid.

Journal of the Royal Society, Interface·2026
Same journal

Distinct geometrical landscapes distinguish between modes of tristability in gene regulatory networks.

Journal of the Royal Society, Interface·2026
Same journal

Slow modulation of the contraction patterns in Physarum polycephalum.

Journal of the Royal Society, Interface·2026
Same journal

Moo-ving mountains: grazing agents drive terracette formation on steep hillslopes.

Journal of the Royal Society, Interface·2026
See all related articles

Related Experiment Video

Updated: Jun 5, 2026

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
06:44

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

Dual-phase evolution in complex adaptive systems.

Greg Paperin1, David G Green, Suzanne Sadedin

  • 1Centre for Research in Intelligent Systems, Monash University, Clayton 3800, Australia. greg@paperin.org

Journal of the Royal Society, Interface
|January 21, 2011
PubMed
Summary
This summary is machine-generated.

Recurrent phase transitions in network connectivity drive emergent phenomena across diverse systems. This study introduces dual-phase evolution (DPE) to explain complexity in biological, physical, and human domains.

More Related Videos

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Related Experiment Videos

Last Updated: Jun 5, 2026

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
06:44

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Area of Science:

  • Complexity science
  • Network science
  • Systems theory

Background:

  • Understanding the origins of complexity is a fundamental scientific challenge.
  • Networks underpin most systems, but their role in emergent phenomena is not fully understood.

Purpose of the Study:

  • To demonstrate that recurrent phase transitions in network connectivity drive emergent phenomena.
  • To introduce a unifying framework, dual-phase evolution (DPE), for understanding these transitions.
  • To review diverse scientific literature through the lens of DPE.

Main Methods:

  • Identification of properties typical of different network connectivity phases.
  • Characterization of features associated with phase transitions.
  • Literature review across multiple disciplines (biology, physics, human systems).

Main Results:

  • Recurrent connectivity phase transitions are identified as a common mechanism underlying emergent phenomena.
  • A framework, dual-phase evolution (DPE), is proposed to synthesize these findings.
  • DPE explains complex properties such as perpetual novelty, modularity, scale-free networks, and criticality.

Conclusions:

  • Dual-phase evolution provides a unifying framework for understanding complexity across various scientific domains.
  • The DPE framework offers insights into phenomena like perpetual novelty and criticality.
  • DPE relates to existing frameworks such as self-organized criticality and the adaptive cycle.