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Agent-based cellular automata

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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Agent-Based Cellular Automata Simulation

Taksonomisk metoderegistrering · process-pipeline / simulation

Wolfram, S. (2002). A New Kind of Science. Wolfram Media, Champaign, IL. · ISBN 978-1579550080
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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Same method familyAgent-Based Modelingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketAgent-based system dynamicsmachine-suggested · Relational suggestion, not evidence.Same method familyCellular Automatamachine-suggested · Relational suggestion, not evidence.Same method familyDiscrete-Event Simulationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-objective cellular automatamachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStochastic Cellular Automatamachine-suggested · Relational suggestion, not evidence.