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에이전트 기반 동적 프로그래밍×동적 계획법×
분야시뮬레이션최적화
계열Process / pipelineProcess / pipeline
기원 연도1957 (DP); 1990s onward (ABM integration)1957
창시자Bellman, R. (DP foundation); Tesfatsion, L. et al. (ABM-DP integration)Richard Bellman
유형Hybrid simulation-optimizationExact combinatorial optimization via recursive decomposition
원전Bellman, R. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. ISBN: 9780691079516Bellman, R. (1957). Dynamic Programming. Princeton University Press. ISBN: 978-0-691-07951-6
별칭ABDP, Agent-based DP, Multi-agent dynamic programming, ABM-DPDP, Bellman's Principle of Optimality, Recursive Optimization, Dinamik Programlama
관련53
요약Agent-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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ScholarGate방법 비교: Agent-based dynamic programming · Dynamic Programming. 2026-06-15에 다음에서 검색함: https://scholargate.app/ko/compare