เปรียบเทียบวิธี

	การจำลองเหตุการณ์ไม่ต่อเนื่องแบบสุ่ม	การสร้างแบบจำลองเชิงเอเจนต์ (ABM)
สาขาวิชา	การจำลอง	การจำลอง
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1960s–1970s	1970s–1990s (formalized as a field)
ผู้ริเริ่ม	Banks, Carson, Nelson, Nicol; Law, A. M.	Thomas Schelling and Robert Axelrod (foundational contributions, 1970s–1990s)
ประเภท	Stochastic simulation model	Computational simulation method
แหล่งต้นตำรับ	Banks, J., Carson, J. S., Nelson, B. L., & Nicol, D. M. (2010). Discrete-Event System Simulation (5th ed.). Prentice Hall. ISBN: 9780136062127	Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press.
ชื่อเรียกอื่น	Stochastic DES, SDES, Probabilistic DES, Monte Carlo DES	ABM, Ajan Tabanlı Modelleme (ABM), multi-agent simulation, individual-based modeling
ที่เกี่ยวข้อง	6	5
สรุป	Stochastic Discrete-Event Simulation (Stochastic DES) models complex systems by advancing simulated time from one discrete event to the next, drawing event durations and inter-arrival times from fitted probability distributions. It is the standard technique for analyzing queues, manufacturing lines, healthcare pathways, and logistics networks under uncertainty, producing output statistics with confidence intervals.	Agent-based modeling (ABM) is a computational simulation method, formalized through the work of Thomas Schelling and Robert Axelrod in the 1970s–1990s, that simulates the behavior of complex systems by specifying and running autonomous agents — individuals, firms, cells, or any bounded entity — whose local interactions with each other and with their environment collectively produce global, system-level patterns that could not be predicted from any single agent's rules alone.