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Solution-oriented Agent-based Models Generation with Verifier-assisted Iterative In-context Learning
In SAGE, we introduce an semi-structured conceptual representation expliciting the intricate structures of ABMs and an objective representation to guide LLMs in modeling scenarios and proposing hypothetical solutions through in-context learning.
General Automatic Solution Generation of Social Problems
Given the escalating intricacy and multifaceted nature of contemporary social systems, manually generating solutions to address pertinent social issues has become a formidable task.
A Lightweight Approach of Human-Like Playtesting
This paper presents LIT -- our lightweight approach to generalize playtesting tactics from manual testing, and to adopt the generalized tactics to automate game testing.
Software Engineering
