April 4, 2024, 4:47 a.m. | Amanul Haque, Munindar P. Singh

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.02269v1 Announce Type: new
Abstract: We investigate the effectiveness of ChatGPT in extracting norms from contracts. Norms provide a natural way to engineer multiagent systems by capturing how to govern the interactions between two or more autonomous parties. We extract norms of commitment, prohibition, authorization, and power, along with associated norm elements (the parties involved, antecedents, and consequents) from contracts. Our investigation reveals ChatGPT's effectiveness and limitations in norm extraction from contracts. ChatGPT demonstrates promising performance in norm extraction without …

abstract arxiv authorization autonomous challenges chatgpt commitment cs.ai cs.cl engineer extract interactions natural norm opportunities parties power systems type via

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