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Agent-Based Dynamic Programming×動的計画法×
分野シミュレーション最適化
系統Process / pipelineProcess / pipeline
提唱年1957 (DP); 1990s onward (ABM integration)1957
提唱者Bellman, R. (DP foundation); Tesfatsion, L. et al. (ABM-DP integration)Richard Bellman
種類Hybrid simulation-optimizationExact combinatorial optimization via recursive decomposition
原典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
別名ABDP, Agent-based DP, Multi-agent dynamic programming, ABM-DPDP, Bellman's Principle of Optimality, Recursive Optimization, Dinamik Programlama
関連53
概要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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ScholarGate手法を比較: Agent-based dynamic programming · Dynamic Programming. 2026-06-15に以下より取得 https://scholargate.app/ja/compare