Large Language Models as Planning Domain Generators (Student Abstract)
AAAI 2024(2024)
摘要
The creation of planning models, and in particular domain
models, is among the last bastions of tasks that require exten-
sive manual labor in AI planning; it is desirable to simplify
this process for the sake of making planning more accessi-
ble. To this end, we investigate whether large language mod-
els (LLMs) can be used to generate planning domain models
from textual descriptions. We propose a novel task for this
as well as a means of automated evaluation for generated do-
mains by comparing the sets of plans for domain instances.
Finally, we perform an empirical analysis of 7 large language
models, including coding and chat models across 9 different
planning domains. Our results show that LLMs, particularly
larger ones, exhibit some level of proficiency in generating
correct planning domains from natural language descriptions
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关键词
Automated Planning,Large Language Models,PDDL
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