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Everything about Agent-based model

Type of computational models

An agent-based model (ABM) is a computational model for simulating the actions and interactions of an autonomous agent to understand the behavior of a system and what governs its outcomes. It combines elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. Monte Carlo methods are used to understand the stochasticity of these models. Particularly within ecology, an ABM is also called an individual-based model (IBM). A review of literature on individual-based models, agent-based models, and multiagent systems shows that ABMs are used in many scientific domains including biology, ecology, and social science. Agent-based modeling is related to, but distinct from, the concept of a multi-agent system. Wikipedia →

đź§­ Start here: a 6-step reading path

  1. Read the overview: Agent-based modelA 5-minute orientation
  2. Skim a recent paper: A survey on large language model based autonomous agentsInfluential work since 2022
  3. Pick up a classic book: Economic Evaluation of Cancer DrugsThe most-reprinted book on the subject
  4. Read the landmark paper: BioWar: scalable agent-based model of bioattacksCited 159 times
  5. Go sideways: Computational sociologyA closely related topic
  6. Go sideways: Social simulationA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

đź”— Related topics