Complex Systems Simulation Techniques for Economics
Utilize techniques from chaos and complex systems theory to develop more realistic economic models that account for non-linear dynamics.
Resources (4)
Forecasting Macroeconomic Dynamics using a Calibrated Data-Driven Agent-based Model
Research and Reviews
Making Sense of Chaos
Research and Reviews
Macrocosm
Company
Making Sense of Chaos: A Better Economics for a Better World by Doyne Farmer
Whitepapers and Essays
R&D Gaps (1)
Current economic models are often too simplistic to capture the intricate dynamics of our global economy, limiting effective policy-making and forecasting. Experimentation with innovative economic models—such as those incorporating universal basic income or alternative market systems—is rare, leaving us unprepared for emerging trends. The inherent complexity of global systems further complicates accurate forecasting, underscoring the urgent need for more sophisticated, adaptive tools that can better predict and navigate the economic landscape of tomorrow.