Spatial & Simulation Systems
Agentic scenario generation, GIS, and physical-world grounding — from autonomous driving benchmarks to logistics.
Research Question
Does a generate → retrieve → mutate → execute → score scenario pipeline transfer from autonomous-driving benchmarks to logistics, GIS, and facility-operations domains?
Description
A third thread distinct from pure agent-memory work: agents that generate, retrieve, mutate, and score scenarios against real geographic or physical constraints. Seeded by PlannerForge's scenario-testing pipeline for autonomous driving, Mireye's physical-world agent infrastructure, and two build opportunities on the calendar — NASA Space Apps and HackStorm's physical-AI hackathon. The bet is that the same generate→execute→score loop transfers cleanly from driving scenarios to logistics, GIS, and facility operations.
Related Experiments
ProposedAgentic Simulation Foundry
Does a generate → retrieve → mutate → execute → score pipeline transfer from autonomous driving to logistics, GIS, or facility-operations scenarios?
hub Spatial & Simulation Systems
ProposedTemporal GIS Narratives
Can sheaf/narrative structure preserve provenance and consistency in evolving geographic knowledge graphs better than event logs?
hub Spatial & Simulation Systems
