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Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Mfumo wa Kielelezo cha Markov unaoendeshwa na Ajenti×Uigizaji wa Matukio Maalum (DES)×
NyanjaUigajiUigaji
FamiliaProcess / pipelineProcess / pipeline
Mwaka wa asili2000s1960s (formalized); modern computational form from 1970s onward
MwanzilishiHybrid approach synthesized from Bonabeau (ABM) and Norris/classical Markov chain literatureBanks, Carson, Nelson & Nicol (textbook lineage); foundational work by Tocher & Conway (1960s)
AinaHybrid simulation — agent-based modeling with Markov state transitionsStochastic process simulation
Chanzo asiliaBonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences, 99(Suppl 3), 7280-7287. DOI ↗Banks, J., Carson, J.S., Nelson, B.L. & Nicol, D.M. (2010). Discrete-Event System Simulation (5th ed.). Pearson. ISBN: 978-0136062127
Majina mbadalaABMM, Agent-Based Markov Chain Model, ABM-Markov hybrid, Agent Markov simulationDES, event-driven simulation, Ayrık Olay Simülasyonu (DES)
Zinazohusiana54
MuhtasariThe Agent-Based Markov Model (ABMM) is a hybrid simulation framework that embeds Markov chain state-transition logic inside individual autonomous agents. Each agent independently samples its next state from a probability transition matrix, enabling the model to capture both micro-level heterogeneity across agents and the tractable probabilistic structure of Markov chains. The approach is widely used in health economics, epidemiology, social science, and operations research.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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  1. v1
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  3. PUBLISHED

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ScholarGateLinganisha mbinu: Agent-based Markov model · Discrete-Event Simulation. Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/compare