Smarter Agents for Agent-Based Models
Agent-based models (ABMs) are powerful tools for decision-making due to their ability to simulate systems with individual-level granularity. Recent advances have mitigated the computational costs of scaling ABMs to real-world population sizes; however, the potential of ABMs is also constrained by th...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/156806 |