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حوزهشبیه‌سازیشبیه‌سازی
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش1957 (DP); 1990s onward (ABM integration)1957
پدیدآورBellman, R. (DP foundation); Tesfatsion, L. et al. (ABM-DP integration)Bellman, R.; formalized for stochastic settings by Puterman, M. L.
نوعHybrid simulation-optimizationSequential optimization under uncertainty
منبع بنیادینBellman, R. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. ISBN: 9780691079516Bellman, R. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. ISBN: 9780486428093
نام‌های دیگرABDP, Agent-based DP, Multi-agent dynamic programming, ABM-DPSDP, Markov Decision Process, MDP, Stochastic DP
مرتبط56
خلاصهAgent-based dynamic programming (ABDP) embeds Bellman's dynamic programming framework within individual agents of an agent-based model, enabling each agent to solve sequential, multi-stage decision problems using backward induction or value-function iteration. The result is a population of optimizing agents whose interactions generate emergent system-level behavior.Stochastic Dynamic Programming (SDP) is a mathematical optimization framework for sequential decision problems where outcomes are partly random. It extends Bellman's principle of optimality to stochastic environments, representing problems as Markov Decision Processes (MDPs) and computing optimal policies by solving recursive value equations over states and time periods.
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ScholarGateمقایسهٔ روش‌ها: Agent-based dynamic programming · Stochastic Dynamic Programming. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare