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

Methods of Medium Optimization

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...

Pharmacokinetic–Pharmacodynamic Relationship: Problems

Pharmacokinetic–Pharmacodynamic Relationship: Problems

The empirical approach to drug therapy optimization relies on correlating pharmacological response with administered dosage. Such an approach can be costly, time-consuming, and often yields poor correlation due to variables like formulation factors and drug elimination characteristics. A more precise approach correlates response with plasma drug concentration or the amount of drug in the body, rather than dosage. This is achieved through pharmacokinetic-pharmacodynamic (PK/PD) modeling, which...

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

Dosage Regimen: Individualization

Dosage Regimen: Individualization

Individualization in dosing regimens is the customization of medication doses for individual patients. Its necessity arises from the goal of maximizing therapeutic benefits while minimizing risks. This approach is pivotal because human responses to drugs can vary widely; what is effective for one person may be inadequate or excessive for another. Interpatient (intersubject) variability refers to differences in drug responses between individuals, while intrapatient (intrasubject) variability...

Control Systems

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...

Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations

Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations

Gentamicin, an aminoglycoside antibiotic, is commonly administered via intermittent intravenous infusion to treat severe infections. An intermittent one-hour infusion of gentamicin, administered at eight-hour intervals, allows for precise control of plasma drug concentrations, minimizing toxicity while ensuring therapeutic efficacy. Pharmacokinetic principles govern the dynamics of plasma concentrations and can be mathematically described using specific equations.The plasma drug concentration...

You might also read

Related Articles

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

Sort by

Same author

CODEIPPROMPT: Intellectual Property Infringement Assessment of Code Language Models.

Proceedings of machine learning research·2025

Same author

Risk analysis of disinformation weaponized against critical networks.

Risk analysis : an official publication of the Society for Risk Analysis·2025

Same author

Computational strategic recruitment for representation and coverage studied in the All of Us Research Program.

NPJ digital medicine·2025

Same author

Adaptive Recruitment Resource Allocation to Improve Cohort Representativeness in Participatory Biomedical Datasets.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2025

Same author

Large language models are less effective at clinical prediction tasks than locally trained machine learning models.

Journal of the American Medical Informatics Association : JAMIA·2025

Same author

Not the Models You Are Looking For: Traditional ML Outperforms LLMs in Clinical Prediction Tasks.

medRxiv : the preprint server for health sciences·2024

Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026

Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026

Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026

Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026

Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026

Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026

See all related articles

Search research articles

Related Experiment Videos

Noncooperatively optimized tolerance: decentralized strategic optimization in complex systems.

Yevgeniy Vorobeychik¹, Jackson R Mayo, Robert C Armstrong

¹Sandia National Laboratories, Post Office Box 969, Livermore, California 94551-0969, USA.

Physical Review Letters

|October 11, 2011

Summary

This summary is machine-generated.

We introduce noncooperatively optimized tolerance (NOT), a game theoretic model that generalizes highly optimized tolerance (HOT). NOT shows robustness and self-organized criticality, with emergent cooperation enhancing system resilience.

Related Experiment Videos

Area of Science:

Complex systems
Game theory
Ecological modeling

Background:

Highly Optimized Tolerance (HOT) describes systems with robustness and self-dissimilarity.
Understanding how system properties change with increasing complexity is crucial.

Purpose of the Study:

Introduce noncooperatively optimized tolerance (NOT) as a game theoretic generalization of HOT.
Analyze the emergent properties of NOT in a forest fire framework.
Investigate the impact of increasing player numbers on system robustness and criticality.

Main Methods:

Developed a game theoretic model: noncooperatively optimized tolerance (NOT).
Utilized the forest fire framework for system illustration.
Analyzed system behavior with varying numbers of players.

Main Results:

NOT retains HOT features like robustness and self-dissimilar landscapes as player numbers increase.
NOT also exhibits characteristics of self-organized criticality.
Systems show considerable robustness despite fracturing, due to emergent cooperation.
Increasing resilience against environmental changes leads to intermediate regimes.

Conclusions:

Noncooperatively optimized tolerance (NOT) offers a new perspective on complex adaptive systems.
Emergent cooperation plays a key role in system robustness and resilience.
NOT systems can exhibit adaptable robustness to specific environmental challenges.