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基于智能体的动态规划×动态规划×
领域仿真优化
方法族Process / pipelineProcess / pipeline
起源年份1957 (DP); 1990s onward (ABM integration)1957
提出者Bellman, R. (DP foundation); Tesfatsion, L. et al. (ABM-DP integration)Richard Bellman
类型Hybrid simulation-optimizationExact combinatorial optimization via recursive decomposition
开创性文献Bellman, R. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. ISBN: 9780691079516Bellman, R. (1957). Dynamic Programming. Princeton University Press. ISBN: 978-0-691-07951-6
别名ABDP, Agent-based DP, Multi-agent dynamic programming, ABM-DPDP, Bellman's Principle of Optimality, Recursive Optimization, Dinamik Programlama
相关53
摘要Agent-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.Dynamic Programming (DP) is an exact optimization technique introduced by Richard Bellman in 1957 for solving multi-stage decision problems. It decomposes a complex problem into simpler, overlapping subproblems, solves each subproblem once, and stores the results to avoid redundant computation. Grounded in the Principle of Optimality, DP guarantees globally optimal solutions whenever the problem exhibits overlapping subproblems and optimal substructure.
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  1. v1
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  3. PUBLISHED

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ScholarGate方法对比: Agent-based dynamic programming · Dynamic Programming. 于 2026-06-15 检索自 https://scholargate.app/zh/compare