Multi-Agent Model for Agri Policy Simulation

Multi-Agent Model for Agri Policy Simulation

Agent-based Model Learning Agent GIS Big Data Supercomputing Agriculture Policy Simulation
We design and build a large agent-based model using real-world data for agriculture policy simulations with supercomputer. For some selected model features
  • 100k+ learning agents using real-world data
  • GIS-and Grid-based randomization
  • Dynamic weather and disaster shocks
  • Demographic dynamics
  • Crop and allometry models
  • Complex decision-making process (Crop switching, Climate-smart Investment, Lending-borrowing, Land market, Labor market, Belief updates, Farmers' network, etc.)

Contact

TETRAGRAM CO.,LTD.

The Rice Tower 1467/8, 8th floor, Unit No. 808 Phahonyothin Road,
Phaya Thai Subdistrict, Phaya Thai District, Bangkok 10400