Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
AgentPy is an open-source framework for the development and analysis of agent-based models in Python.
GIS Extension for Mesa Agent-Based Modeling
The Multi-Agent Reasoning framework creates an interactive chatbot where AI agents collaborate via structured reasoning and Swarm Integration for optimal answers. Simulating a team that discusses, debates, and refines responses, it enables complex problem-solving and precise results. Now with Prompt Caching to reduce latency and costs.
User and showcase agent-based models developed using Mesa
FMS, an agent-based Financial Market Simulator
Multi-Agent System for Science of Science
Agent-based modelling for resource allocation in viral crises to investigate resource allocation and policy interventions with respect to transmission rate.
Zero Intelligence Agent-Based Model of Modern Limit Order Book
A Python-based interpreter for the agent-oriented programming language JASON
reference implementation of the copan:CORE World-Earth modelling framework
Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)
Black-box abm calibration kit by the Bank of Italy
An agent library for systems of nested automata.
Agent Based Fire Evacuation Model built using Project Mesa
Disease propagation ABM generating SIR, severe cases, and R0 over quasi-time.
Multi-Agent System for Science of Science
Traffic model: network, demand and agent-based simulation for San Francisco or other cities.
An agent-based modeling framework for Python with a shallow learning curve and powerful visualization capabilities.
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