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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

226
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...
226
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

192
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
192
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

291
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
291
Steps in the Modeling Process01:14

Steps in the Modeling Process

543
Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
543
Modeling in Therapy01:26

Modeling in Therapy

322
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
322
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

203
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
203

You might also read

Related Articles

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

Sort by
Same author

An empirical network study of the antimalarial supply chain in Ghana.

PloS one·2026
Same author

Does Sociology Have Any Choice but to Be Evolutionary?

Frontiers in sociology·2021
Same author

Moral and Contextual Dimensions of "Inappropriate" Antibiotic Prescribing in Secondary Care: A Three-Country Interview Study.

Frontiers in sociology·2021
Same author

Drivers of Broad-Spectrum Antibiotic Overuse across Diverse Hospital Contexts-A Qualitative Study of Prescribers in the UK, Sri Lanka and South Africa.

Antibiotics (Basel, Switzerland)·2021
Same author

Medical prescribing and antibiotic resistance: A game-theoretic analysis of a potentially catastrophic social dilemma.

PloS one·2019
Same author

Developing agent-based models of complex health behaviour.

Health & place·2018

Related Experiment Video

Updated: Dec 22, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.7K

Talking Prose All These Years: Agent-Based Modeling as Process-Oriented Analysis.

Edmund Chattoe-Brown1

  • 1University of Leicester.

Canadian Review of Sociology = Revue Canadienne De Sociologie
|May 9, 2020
PubMed
Summary
This summary is machine-generated.

Agent-based modeling offers a powerful computational approach to advance process-oriented analysis. This simulation method provides empirical grounding and clarifies social processes, enhancing theoretical and methodological progress.

More Related Videos

Modeling an Enzyme Active Site using Molecular Visualization Freeware
14:37

Modeling an Enzyme Active Site using Molecular Visualization Freeware

Published on: December 25, 2021

11.1K
Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

474

Related Experiment Videos

Last Updated: Dec 22, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.7K
Modeling an Enzyme Active Site using Molecular Visualization Freeware
14:37

Modeling an Enzyme Active Site using Molecular Visualization Freeware

Published on: December 25, 2021

11.1K
Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

474

Area of Science:

  • Social Sciences
  • Computational Social Science
  • Sociology

Background:

  • Process-oriented analysis faces theoretical and methodological stagnation.
  • Empirical validation is crucial for advancing social science debates.
  • Existing methods may not adequately capture complex social processes.

Purpose of the Study:

  • To explore the implications of agent-based modeling (ABM) for process-oriented analysis.
  • To demonstrate how ABM can empirically ground and advance theoretical debates.
  • To propose a synthesis between ABM and process-oriented analysis.

Main Methods:

  • Utilizing agent-based modeling as a computational simulation approach.
  • Applying ABM to a case study of ethnic residential segregation.
  • Analyzing the capabilities of ABM for representing social processes.

Main Results:

  • Agent-based modeling provides a natural framework for representing social processes.
  • ABM offers empirical grounding for theoretical and methodological debates.
  • The methodology of ABM possesses unique capabilities for advancing research.

Conclusions:

  • Agent-based modeling can significantly enhance process-oriented analysis.
  • A synthesis between ABM and process-oriented analysis offers productive avenues for research.
  • ABM can clarify, instantiate, and potentially test process-related concepts.