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

Control Systems01:10

Control Systems

2.0K
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...
2.0K
Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

5.9K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.9K
Self-Evaluation Maintenance Model01:29

Self-Evaluation Maintenance Model

386
The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...
386
Feedback control systems01:26

Feedback control systems

789
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
789
Classification of Systems-I01:26

Classification of Systems-I

652
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
652
Effects of feedback01:24

Effects of feedback

1.1K
Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
1.1K

You might also read

Related Articles

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

Sort by
Same journal

Erratum: "Electronic-state-resolved master equation study of energy transfer and electron-impact chemical kinetics in the nitrogen system" [J. Chem. Phys. 164, 134310 (2026)].

The Journal of chemical physics·2026
Same journal

From fluctuating entropic neck to Rosenfeld-Adam-Gibbs crossover dynamics in supercooled liquids.

The Journal of chemical physics·2026
Same journal

Communication: Beyond the gradient expansion approximation: A generalized gradient expansion for exchange.

The Journal of chemical physics·2026
Same journal

Tuning glass-forming dynamics by modifying hydrogen bonding: From polyalcohols to van der Waals liquids.

The Journal of chemical physics·2026
Same journal

Using a low-storage contour-integral eigensolver for nonsymmetric matrices with collocation to compute vibrational spectra.

The Journal of chemical physics·2026
Same journal

Kinetic theory of chiral active disks: Odd transport and torque density.

The Journal of chemical physics·2026

Related Experiment Video

Updated: Mar 22, 2026

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

4.5K

Response properties of self-improving systems.

Andrey Krakovsky1

  • 1Tacticus Capital LLC, 120 West 45th Street, 4th Floor, New York, New York 10036, USA.

The Journal of Chemical Physics
|April 10, 2016
PubMed
Summary

Systems with sustained positive or negative second-order responses improve or decline under random exposure. This leads to the concept of self-improving systems, applicable across diverse complex systems.

Area of Science:

  • Complex Systems Science
  • Systems Theory
  • Phenomenology

Background:

  • Complex systems exhibit dynamic characteristics that can change over time.
  • Understanding system responses to external stimuli is crucial for predicting behavior.
  • Existing frameworks may not fully capture the potential for inherent system improvement.

Purpose of the Study:

  • To introduce a general phenomenological framework for understanding system change.
  • To define and conceptualize 'self-improving systems'.
  • To explore how sustained system responses influence characteristics under random exposure.

Main Methods:

  • Observational analysis of system second-order responses.
  • Identification of directional changes in system characteristics.

More Related Videos

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

615
Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

9.3K

Related Experiment Videos

Last Updated: Mar 22, 2026

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

4.5K
Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

615
Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

9.3K
  • Development of a general phenomenological model.

    • Main Results:

    • Sustained positivity in second-order response leads to system improvement.
    • Sustained negativity in second-order response leads to system decline.
    • A framework for self-improving systems is established.

    Conclusions:

    • System characteristics can sustainably improve or decline due to second-order responses under random exposure.
    • The concept of self-improving systems offers a new perspective on system dynamics.
    • The proposed framework has broad applicability across various scientific domains.