Process / pipelineSimulation / optimization

Agent-Based Cellular Automata — Hybrid Spatial Simulation of Emergent Phenomena

Agent-Based Cellular Automata (ABCA) is a hybrid simulation framework that integrates the local transition rules of cellular automata with the autonomous behavioral logic of agent-based modeling. Cells in a spatial grid both evolve according to neighborhood rules and host agents that perceive, decide, and act, enabling the study of complex spatial phenomena such as land-use change, disease spread, crowd dynamics, and ecosystem evolution.

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Sources

  1. Wolfram, S. (2002). A New Kind of Science. Wolfram Media, Champaign, IL. ISBN: 978-1579550080
  2. Epstein, J. M., & Axtell, R. (1996). Growing Artificial Societies: Social Science from the Bottom Up. Brookings Institution Press / MIT Press, Washington, DC. ISBN: 978-0262550253

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Referenced by

ScholarGateAgent-based cellular automata (Agent-Based Cellular Automata Simulation). Retrieved 2026-06-04 from https://scholargate.app/en/simulation/agent-based-cellular-automata