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Agent-Based Cellular Automata×이산 사건 시뮬레이션 (DES)×
분야시뮬레이션시뮬레이션
계열Process / pipelineProcess / pipeline
기원 연도1986–19961960s (formalized); modern computational form from 1970s onward
창시자Wolfram, S.; Epstein, J. M. & Axtell, R.Banks, Carson, Nelson & Nicol (textbook lineage); foundational work by Tocher & Conway (1960s)
유형Hybrid spatial simulationStochastic process simulation
원전Wolfram, 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
별칭ABCA, CA-ABM, Agent-CA, Hybrid Agent-Cellular AutomatonDES, event-driven simulation, Ayrık Olay Simülasyonu (DES)
관련64
요약Agent-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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ScholarGate방법 비교: Agent-based cellular automata · Discrete-Event Simulation. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare