AI RESEARCH
Can Large Language Models Implement Agent-Based Models? An ODD-based Replication Study
arXiv CS.AI
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ArXi:2602.10140v2 Announce Type: replace-cross Large language models (LLMs) can now synthesize non-trivial executable code from textual descriptions, raising an important question: can LLMs reliably implement agent-based models from standardized specifications in a way that s replication, verification, and validation? We address this question by evaluating 17 contemporary LLMs on a controlled ODD-to-code translation task, using the PPHPC predator-prey model as a fully specified reference.