Modeling economic systems as interacting fields
An application for building, simulating, and analyzing field-based economic models.
Economic systems are not collections of isolated agents converging smoothly toward equilibrium. They are structured, interacting systems in which local decisions, collective states, and endogenous dynamics jointly shape outcomes. This application provides a framework to model economic phenomena as fields: distributed variables evolving through interaction, heterogeneity, and feedback, allowing the study of emergence, instability, and systemic transitions.
Beyond representative agents and static equilibria
Standard economic models often rely on strong simplifications: representative agents, exogenous shocks, and equilibrium-centered analysis. While powerful in certain contexts, these approaches struggle to capture:
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endogenous coordination and miscoordination,
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the propagation of shocks through interconnected structures,
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regime shifts, crises, and phase transitions.
Understanding such phenomena requires a modeling language that treats interaction and collectivity as first-order objects.
Economic fields as a modeling paradigm
A field-based approach represents economic variables — such as investment intensity, risk exposure, or expectations — as distributed fields rather than isolated choices.
In this framework:
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agents are embedded in a collective state,
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decisions depend on local and global field configurations,
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macroeconomic patterns emerge from micro-level interactions.
This perspective enables the study of stability, transitions, and systemic risk within a unified and coherent structure.
From theory to operational models
The application allows users to:
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define economic fields and their domains,
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specify interaction rules and endogenous decision mechanisms,
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simulate dynamic evolution over time,
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visualize collective states, transitions, and propagation effects.
It is designed as a research-oriented tool, enabling exploration rather than point prediction, and emphasizing structure, dynamics, and interpretation.
For researchers and advanced practitioners
This platform is intended for:
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researchers in economics, finance, and complex systems,
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users interested in systemic risk, investment dynamics, and endogenous instability,
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those seeking alternatives to purely equilibrium-based modeling.
The application complements — rather than replaces — standard approaches, by offering a different level of abstraction focused on collective dynamics.
A framework for exploring economic complexity
By treating economic systems as interacting fields, this application opens a space to investigate how structure, heterogeneity, and interaction give rise to observed macroeconomic behavior.
The objective is not to simplify reality, but to model its organization.