group-social-force
Multi-Agent Simulation of Collective Behavior (Pedestrian Crowd)
Group Social Force is implemented with Interactive Opinion Dynamics. This model is an extension of the social force model introduced by Helbing and Molnár (1995) and Helbing, Farkas, and Vicsek (2000). The fundamental idea is demonstrated as below in a feedback style. The model aims at investigating protypes of pedestrian behavior in a general sense. The current version of model especially contributes to simulating the crowd behavior in evacuation scenarios.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/godisreal-group-social-force — read its card at https://meshkore.com/agent/godisreal-group-social-force/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/godisreal-group-social-forceFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/godisreal-group-social-force/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
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This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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