Agent-Based Dynamic Programming — Sequential Decision-Making in Multi-Agent Systems
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.
Loe meetodi täielikku kirjeldust
Selle osa lugemiseks logi sisse tasuta kontoga.
Method map
The neighbourhood of related methods — select a node to explore.
Allikad
- 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. link ↗
Kuidas sellele lehele viidata
ScholarGate. (2026, June 3). Agent-Based Dynamic Programming — Sequential Decision-Making in Multi-Agent Systems. ScholarGate. https://scholargate.app/et/simulation/agent-based-dynamic-programming
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Agent-põhine modelleerimine (ABM)Simulatsioon↔ compare
- Dünamiline programmeerimineOptimeerimine↔ compare
- Mitme eesmärgiga dünaamiline programmeerimineSimulatsioon↔ compare
- TugevdamisõpeSüvaõpe↔ compare
- Stochastic Dynamic ProgrammingSimulatsioon↔ compare
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