A Structured Prompting based on Belief-Desire-Intention Model for Proactive and Explainable Task Planning

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.