SOURCE-LINKED INTELLIGENCE
ANASSA: An Agentic AI Orchestration Framework for Spatial Intelligence
The emergence of large language models (LLMs) and large multimodal models (LMMs) has enabled a new class of agentic systems capable of integrating natural language understanding with tool-based execution. In geographic information systems (GIS), this shift is transforming traditional, expert-driven workflows into semiautonomous systems that can interpret user intent, construct spatial workflows, and execute geospatial analysis tasks. However, existing approaches remain limited by fragmented integration of reasoning, execution, and evaluation, particularly in complex, real-world environments. T
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-13T22:35:26.000Z
First collected: 2026-09-20T12:21:05.240Z. This is not the publication date.