Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Natural Selection and Adaptation

Natural Selection and Adaptation

Natural selection, a fundamental concept in evolutionary biology, is the mechanism by which evolution is driven, favoring organisms that are best adapted to their environments. This process enhances their chances of survival and reproduction. Adaptation, a key outcome of this process, involves genetic modifications that optimize an organism's functionality under specific environmental challenges, such as extreme cold or thinner air at high altitudes.
Beyond physical adaptations,...

Neuroplasticity

Neuroplasticity

Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.

Unrealistic Optimism Bias

Unrealistic Optimism Bias

Unrealistic optimism bias is the tendency to overestimate the likelihood of positive outcomes. This cognitive bias makes individuals believe they are less likely to experience failures, setbacks, or risks and more likely to succeed than others. For example, people may assume they are less prone to health issues, accidents, or financial struggles than their peers, even when they share similar risk factors.One key component of this bias is the above-average effect, where individuals perceive...

Adaptations that Reduce Water Loss

Adaptations that Reduce Water Loss

Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.

Transduction

Transduction

Among the three main modes of HGT—transformation, conjugation, and transduction—transduction is unique in that it is mediated by bacteriophages, or bacterial viruses.Transduction occurs in two ways. Generalized transduction occurs during the lytic cycle of a bacteriophage infection. In this process, bacteriophages infect bacterial cells, replicate within them, and ultimately cause cell lysis, releasing newly assembled virions. Occasionally, random fragments of the bacterial genome...

Responses to Drought and Flooding

Responses to Drought and Flooding

Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.

You might also read

Related Articles

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

Sort by

Same author

A sugar flow model predicts cell dynamics, weight and quality of tomato at varying sink-source ratios and temperatures.

Journal of experimental botany·2026

Same author

Exploring the Receptivity and Feasibility of Just-In-Time Support for Healthy Food Choices: Mixed-Method Insights for Adaptive Intervention Development.

Current developments in nutrition·2026

Same author

Spectral expansion methods for prediction uncertainty quantification in systems biology.

Frontiers in systems biology·2025

Same author

Under-reporting of Validation Efforts for Health Economic Models Persists Despite the Availability of Validation Tools: A Systematic Review.

PharmacoEconomics·2025

Same author

Microtubule flexibility, microtubule-based nucleation and ROP pattern co-alignment enhance protoxylem microtubule patterning.

Quantitative plant biology·2025

Same author

A conceptual framework for the dynamic modeling of time-resolved phenotypes for sets of genotype-environment-management combinations: a model library.

Frontiers in plant science·2023

Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026

Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026

Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026

Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026

Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026

Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 7, 2026

Field Collection and Laboratory Maintenance of Canopy-Forming Giant Kelp to Facilitate Restoration

Field Collection and Laboratory Maintenance of Canopy-Forming Giant Kelp to Facilitate Restoration

Published on: June 7, 2024

Resilience through adaptation.

Guus A Ten Broeke¹, George A K van Voorn¹, Arend Ligtenberg²

¹Biometris, Wageningen University & Research, Wageningen, Netherlands.

|February 15, 2017

Summary

This summary is machine-generated.

Agent adaptation enhances the resilience of Complex Adaptive Systems (CAS). A new sensitivity analysis method using agent-based models (ABMs) quantifies this adaptation, showing it can prevent system collapse.

More Related Videos

Visualizing Visual Adaptation

Visualizing Visual Adaptation

Published on: April 24, 2017

Author Spotlight: Unraveling Plant Responses to Abiotic Stresses Using the PlantScreen Robotic Platform

Author Spotlight: Unraveling Plant Responses to Abiotic Stresses Using the PlantScreen Robotic Platform

Published on: June 7, 2024

Related Experiment Videos

Last Updated: Mar 7, 2026

Field Collection and Laboratory Maintenance of Canopy-Forming Giant Kelp to Facilitate Restoration

Field Collection and Laboratory Maintenance of Canopy-Forming Giant Kelp to Facilitate Restoration

Published on: June 7, 2024

Visualizing Visual Adaptation

Visualizing Visual Adaptation

Published on: April 24, 2017

Author Spotlight: Unraveling Plant Responses to Abiotic Stresses Using the PlantScreen Robotic Platform

Author Spotlight: Unraveling Plant Responses to Abiotic Stresses Using the PlantScreen Robotic Platform

Published on: June 7, 2024

Area of Science:

Complex Adaptive Systems (CAS)
Agent-Based Modeling (ABM)
Ecological Resilience

Background:

Agent adaptation is crucial for the resilience of Complex Adaptive Systems (CAS).
Limited methodologies exist to quantify adaptation and resilience within agent-based models (ABMs).
Understanding adaptation's impact is key to managing system flexibility against external pressures.

Purpose of the Study:

To propose a novel sensitivity analysis methodology for quantifying agent adaptation in ABMs.
To assess the impact of agent adaptation on the resilience and critical transitions of CAS.
To evaluate the effectiveness of the proposed method using an ABM of resource competition.

Main Methods:

Developed a sensitivity analysis approach comparing probability density functions of ABM outputs with and without agent adaptation.
Utilized earth-mover's distance to quantify differences in these probability density functions.
Applied the methodology to an agent-based model simulating competition for a common-pool resource.

Main Results:

The proposed sensitivity analysis method successfully quantified the effects of agent adaptation.
Agent adaptation was shown to positively contribute to the resilience of the simulated system.
Sufficiently rapid adaptation can delay or prevent critical transitions and system collapse.

Conclusions:

The new sensitivity analysis methodology provides a valuable tool for studying adaptation in ABMs.
Agent adaptation is a significant factor in enhancing the resilience of Complex Adaptive Systems.
This approach can help predict and mitigate the risk of catastrophic system failures.