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Agent-based model: History, Applications, Science & Products

An agent-based model (ABM) is a computational model for simulating the actions and interactions of an autonomous agent (both individual or collective entities such as organizations or groups) to understand the behavior of a system and what governs its outcomes. It combines elements of game theory, complex systems, emergence, computational sociology…

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Agent-based model topic overview

The analysis highlights History, Applications, Science and Products as prominent areas in the source structure around Agent-based model.

Related topics
125
Source areas
7
Connected nodes
132
Extracted relationships
211
Concept neighborhoods
37
Bridge connections
132

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Applications · 46 topics
History · 40 topics
Overview · 18 topics
Implementation · 10 topics
Theory · 7 topics
Verification and validation · 3 topics
Articles/general information · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History

Theory

Applications

Implementation

Verification and validation

Articles/general information

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Agent-based model connects Entity context

The extracted context around Agent-based model shows recurring relationship patterns in the source. For example, Agent-based model → ABM, Agent-based, Agent-Based Modeling, Argonne National Laboratory, Article, Artificial Intelligence, BPM, Computational Modeling, Computer Science, Department, Ecological Sciences' Agent Based, Ecology, Enterprise Information Systems, Feb, Flash Crash, Helsinki, Jose Manuel Gomez Alvarez, Liang Wang, Life FrameworkArticle, Madrid Another extracted example is Agent-based model → ABM, Artificial Societies, Carley ABM, Carnegie Mellon University's Kathleen, CASM, CASOS, Christopher Langton, CMOT, Complex Adaptive Systems Modeling, Computational Analysis, During, Epstein, JASSS, Joshua, Journal, Macal, Nigel Gilbert, Organizational Systems, Other, Research. Use these groups to spot repeated connection types before inspecting the individual relationships.

Agent-based model

Top relations

related to Articles/general information · 42
Agent-based model → ABM, Agent-based, Agent-Based Modeling, Argonne National Laboratory, Article, Artificial Intelligence, BPM, Computational Modeling, Computer Science, Department, Ecological Sciences' Agent Based, Ecology, Enterprise Information Systems, Feb, Flash Crash, Helsinki, Jose Manuel Gomez Alvarez, Liang Wang, Life FrameworkArticle, Madrid
related to 1990s: expansion · 32
Agent-based model → ABM, Artificial Societies, Carley ABM, Carnegie Mellon University's Kathleen, CASM, CASOS, Christopher Langton, CMOT, Complex Adaptive Systems Modeling, Computational Analysis, During, Epstein, JASSS, Joshua, Journal, Macal, Nigel Gilbert, Organizational Systems, Other, Research
related to In economics and social sciences · 20
Agent-based model → ABM, ABM's, ABMs, By, Doyne Farmer, DSGE, Duncan Foley, Farmer, Foley, Heterogeneity, However, July, Keynes, Nature, Prior, Results, Robert Lucas, The, The Economist, There
related to Early developments · 12
Agent-based model → Actor, Carl Hewitt, Learning, Neumann, Neumann's, Oliver Selfridge's, Pandemonium, Paradigm, Stanislaw Ulam, The, Ulam, Von Neumann
related to Framework · 12
Agent-based model → Building DREAM, Complex Adaptive Systems, Complex Network Modeling Level, Descriptive Agent-based Modeling, DREAM, Exploratory Agent-based Modeling Level, Modeling, Recent, This, Validated, Virtual Overlay Multiagent, VOMAS
related to Integration with other modeling forms · 11
Agent-based model → ABM, For, GAMA, Geographic Information Systems, GIS, Similarly, Since Agent-Based Modeling, SNA, Social Network Analysis, This, Tools
related to 1970s and 1980s: the first models · 10
Agent-based model → Bruce Hesper, Dynamic Models, In, One, Paulien Hogeweg, Segregation, They, Thomas Schelling's, Though Schelling, ToDo
related to In business, technology and network theory · 9
Agent-based model → ABMs, Agent-based, Examples, Facebook, In, November, Recently, The, They
related to In epidemiology · 9
Agent-based model → ABMs, Agent-based, CovidSim, Epidemiological ABMs, Neil Ferguson, Recently, SARS-CoV-2, Still, The ABMs
related to Verification and validation · 8
Agent-based model → Another, As, Face, Muazi, Test-Driven Development, This, Verification, VOMAS

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

agent-based models modeling social agents model systems simulation abm abms complex agent system used also behavior using based interactions validation

Agent-based model relationships Subject–Predicate–Object triples

TTTA extracted 211 structured relationships around Agent-based model. Examples in this analysis include Agent-based model → is a → type of microscale model that simulates the simultaneous operations and interactions of multiple agents in an attempt to re-create and predict the appearance of complex phenomena and organizations or groups → instance of → both individual or collective entities. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Agent-based modelis atype of microscale model that simulates the simultaneous operations and interactions of multiple agents in an attempt to re-create and predict the appearance of complex phenomena0.90text
organizations or groupsinstance ofboth individual or collective entities0.80text
seasonal migrationsinstance ofEpstein and Robert Axtell to simulate and explore the role of social phenomena0.80text
pollutioninstance ofEpstein and Robert Axtell to simulate and explore the role of social phenomena0.80text
sexual reproductioninstance ofEpstein and Robert Axtell to simulate and explore the role of social phenomena0.80text
combatinstance ofEpstein and Robert Axtell to simulate and explore the role of social phenomena0.80text
and transmission of diseaseinstance ofEpstein and Robert Axtell to simulate and explore the role of social phenomena0.80text
even cultureinstance ofEpstein and Robert Axtell to simulate and explore the role of social phenomena0.80text
for funding applications without requiring an extensive learning curve for the researchers.Descriptive Agent-based Modelinginstance ofThis can e.g. be useful for developing proof-of-concept models0.80text
the ODDinstance offor the development of verified and validated models in a formal manner.Other methods of describing agent-based models include code templates and text-based methods0.80text
for breast cancerinstance ofAgent-based models have also been used for developing decision support systems0.80text
CovidSim by epidemiologist Neil Fergusoninstance ofABMs0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Agent-based model bring nearby vocabulary together. In this analysis, examples include Models, Modeling and Systems. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Agent-based model
    • Models
    • Modeling
    • Systems
    • Model
    • Simulation
    • Social
    • Used
    • System
    • Agents
    • Also
    • Complex
    • Framework
  • agent-based model
    • Models
    • Modeling
    • Systems
    • Model
    • System
    • Simulation
    • Social
    • Used
    • Validation
    • Agents
    • Multi-agent
    • Also
  • computational model
    • Multi-agent
    • Emergence
    • System
    • Social
    • Systems
    • Complex
    • Network
    • Validation
    • Modeling
    • Agents
    • Models
    • One
  • autonomous agent
    • Based
    • Complex
    • Computational
    • Simulation
    • Modeling
    • Model
    • Individual
    • Early
    • Framework
    • Multi-agent
    • Computer
    • Information
  • complex systems
    • Based
    • Modeling
    • Using
    • Multi-agent
    • Simple
    • Systems
    • Computational
    • System
    • Network
    • Simulation
    • Models
    • Agents
  • social science
    • Sciences
    • First
    • Network
    • Simulation
    • Computer
    • Dynamics
    • Science
    • Social
    • Modeling
    • Systems
    • Applications
    • Simple
  • microscale model
    • System
    • Validation
    • Agents
    • Multi-agent
    • Models
    • One
    • Simulation
    • Software
    • Information
    • Dynamics
    • Using
    • Also
  • actor model
    • System
    • Validation
    • Agents
    • Multi-agent
    • Models
    • One
    • Simulation
    • Software
    • Information
    • Dynamics
    • Using
    • Also

Connections between topic areas Semantic bridges

For Agent-based model, one of the stronger structural bridges in this analysis connects Agent-based model with Applications. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Agent-based model — Applications · splits 86 ⟂ 47
Agent-based model — History · splits 92 ⟂ 41
Agent-based model — Overview · splits 114 ⟂ 19
Agent-based model — Implementation · splits 122 ⟂ 11
Agent-based model — Theory · splits 125 ⟂ 8
Agent-based model — Verification and validation · splits 129 ⟂ 4

Map overview Semantic statistics

Agent-based model

Nodes133
Edges132
Triples211
Avg. degree1.99
Density0.015038
Components1

Source & methodology

TTTA analyzes the structure around Agent-based model to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications, Science & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Agent-based model · EN edition · Analysis: TopicsToTalkAbout

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