A Structured Prompting based on Belief-Desire-Intention Model for Proactive and Explainable Task Planning
PROCEEDINGS OF THE 11TH CONFERENCE ON HUMAN-AGENT INTERACTION, HAI 2023(2023)
摘要
We investigate the potential of the belief-desire-intention (BDI) model for enhancing proactive action planning and transparency in large language models (LLMs). Our proposed method, BDIPrompting, integrates the knowledge representation framework of the BDI model into prompt design. This allows agents to generate motivational and goal-directed service plans proactively while offering human users insights into the rationale behind the decision-making process. Through preliminary experiments with OpenAI's GPT-4, we highlight the effectiveness of our approach in planning motivational actions and providing improved explanations during human-agent interactions.
更多查看译文
关键词
large language models,belief-desire-intention,prompting
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要