A survey of multi-agent geosimulation methodologies: from ABM to LLM
On the map: LLM agents and tool use → Multimodal and embodied agents
Abstract (arXiv)
We provide a comprehensive examination of agent-based approaches that codify the principles and linkages underlying multi-agent systems, simulations, and information systems. Based on two decades of study, this paper confirms a framework intended as a formal specification for geosimulation platforms. Our findings show that large language models (LLMs) can be effectively incorporated as agent components if they follow a structured architecture specific to fundamental agent activities such as perception, memory, planning, and action. This integration is precisely consistent with the architecture that we formalize, providing a solid platform for next-generation geosimulation systems.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Multimodal and embodied agents, one of 16 directions in LLM agents and tool use. Builds on 3 of its 90 references that are in the map. First posted on arXiv 31 Jul 2025.
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3 of 90 references.
References · 3
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Citing papers per year: 2026: 1.
1 paper.
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