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Msaidizi

Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Otomatiki ya Seli ya Matukio ya Sera×Uigizaji wa Matukio Maalum (DES)×
NyanjaUigajiUigaji
FamiliaProcess / pipelineProcess / pipeline
Mwaka wa asili1979–19971960s (formalized); modern computational form from 1970s onward
MwanzilishiTobler, W. (CA foundations); Clarke, K.C. et al. (policy/urban CA scenarios)Banks, Carson, Nelson & Nicol (textbook lineage); foundational work by Tocher & Conway (1960s)
AinaGrid-based scenario simulationStochastic process simulation
Chanzo asiliaClarke, K. C., Hoppen, S., & Gaydos, L. (1997). A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and Planning B: Planning and Design, 24(2), 247–261. DOI ↗Banks, J., Carson, J.S., Nelson, B.L. & Nicol, D.M. (2010). Discrete-Event System Simulation (5th ed.). Pearson. ISBN: 978-0136062127
Majina mbadalaPSCA, CA Policy Scenario Modeling, Policy-driven CA Simulation, Scenario-based Cellular AutomataDES, event-driven simulation, Ayrık Olay Simülasyonu (DES)
Zinazohusiana54
MuhtasariPolicy Scenario Cellular Automata (PSCA) combines cellular automata simulation with structured scenario analysis to evaluate how alternative policy decisions reshape spatially distributed systems over time. Each scenario encodes a different set of transition rules or constraints, and the model iterates to reveal divergent spatial outcomes — enabling direct, visual comparison of policy consequences at the local and system level.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.
ScholarGateSeti ya data
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  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

Nenda kwenye utafutaji Pakua slaidi

ScholarGateLinganisha mbinu: Policy Scenario Cellular Automata · Discrete-Event Simulation. Imepatikana 2026-06-19 kutoka https://scholargate.app/sw/compare