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## About

Concordia is a platform designed for constructing generative models that
simulate social interactions within a digitally-grounded action space. This
platform facilitates the emulation of agent behaviors and activities. The
framework can cater and support a wide array of applications, ranging from
social science research and AI ethics to cognitive neuroscience and economics;
Additionally, it also can be leveraged for generating data for personalization
applications and for conducting performance evaluations of real services through
simulated usage. Our system simply requires access to a standard LLM API, and
possible integration to real applications and services. The rest is python for
scaffolding, orchestration, prompt-templating, experiment design and analysis.

Concordia is a library to facilitate construction and use of generative
agent-based models to simulate interactions of agents in grounded physical,
social, or digital space. It makes it easy and flexible to define environments
using an interaction pattern borrowed from tabletop role-playing games in which
a special agent called the Game Master (GM) is responsible for simulating the
environment where player agents interact (like a narrator in an interactive
story). Agents take actions by describing what they want to do in natural
language. The GM then translates their actions into appropriate implementations.
In a simulated physical world, the GM would check the physical plausibility of
agent actions and describe their effects. In digital environments that simulate
technologies such as apps and services, the GM may, based on agent input, handle
necessary API calls to integrate with external tools.

Concordia supports a wide array of applications, ranging from social science
research and AI ethics to cognitive neuroscience and economics; Additionally,
it also can be leveraged for generating data for personalization applications
and for conducting performance evaluations of real services through simulated
usage.

Concordia requires access to a standard LLM API, and optionally may also
integrate with real applications and services.

## Installation

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