LLM Reasoner and Automated Planner: A new NPC approach

Israel Puerta-Merino; Jordi Sabater-Mir

doi:10.3233/faia240443

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arXiv · 2501.10106

LLM Reasoner and Automated Planner: A new NPC approach

Israel Puerta-Merino·Jordi Sabater-Mir

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Abstract

In domains requiring intelligent agents to emulate plausible human-like behaviour, such as formative simulations, traditional techniques like behaviour trees encounter significant challenges. Large Language Models (LLMs), despite not always yielding optimal solutions, usually offer plausible and human-like responses to a given problem. In this paper, we exploit this capability and propose a novel architecture that integrates an LLM for decision-making with a classical automated planner that can generate sound plans for that decision. The combination aims to equip an agent with the ability to make decisions in various situations, even if they were not anticipated during the design phase.

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Israel Puerta-Merino, Jordi Sabater-Mir. 2025-01-17. LLM Reasoner and Automated Planner: A new NPC approach. https://doi.org/10.3233/faia240443

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