方法证据记录
Agent-based dynamic programming
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Agent-Based Dynamic Programming — Sequential Decision-Making in Multi-Agent Systems
分类方法记录 · process-pipeline / simulation
- Bellman, R. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. · ISBN 9780691079516
- Tesfatsion, L., Judd, K. L. (Eds.) (2006). Handbook of Computational Economics, Volume 2: Agent-Based Computational Economics. Elsevier, Amsterdam. · URL
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