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Automata Seluler Berbasis Agen×Simulasi Kejadian Diskrit (DES)×
BidangSimulasiSimulasi
KeluargaProcess / pipelineProcess / pipeline
Tahun asal1986–19961960s (formalized); modern computational form from 1970s onward
PencetusWolfram, S.; Epstein, J. M. & Axtell, R.Banks, Carson, Nelson & Nicol (textbook lineage); foundational work by Tocher & Conway (1960s)
TipeHybrid spatial simulationStochastic process simulation
Sumber perintisWolfram, S. (2002). A New Kind of Science. Wolfram Media, Champaign, IL. ISBN: 978-1579550080Banks, J., Carson, J.S., Nelson, B.L. & Nicol, D.M. (2010). Discrete-Event System Simulation (5th ed.). Pearson. ISBN: 978-0136062127
AliasABCA, CA-ABM, Agent-CA, Hybrid Agent-Cellular AutomatonDES, event-driven simulation, Ayrık Olay Simülasyonu (DES)
Terkait64
RingkasanAgent-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.Discrete-Event Simulation (DES) is a computational modeling paradigm in which the state of a system changes only at a countable sequence of points in time — the events. Between events nothing changes, so the simulation clock jumps directly from one event to the next. Formalized through the foundational textbooks of Banks, Carson, Nelson and Nicol and of Law in the 1960s–2000s, DES has become the standard tool for analyzing queuing systems, healthcare patient flows, manufacturing lines, and logistics networks where entities move through resources over time.
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ScholarGateBandingkan metode: Agent-based cellular automata · Discrete-Event Simulation. Diakses 2026-06-18 dari https://scholargate.app/id/compare