Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
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Updated
Jul 3, 2024 - Python
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
The implementation of the simulations mentioned in conformity papers by Ravshanbek Khodzhimatov, Stephan Leitner, and Friederike Wall (2021-2024)
Extension of mesa for performance and scalability
GIS Extension for Mesa Agent-Based Modeling
Seminal agent-based models developed using Mesa
Development repository for the Digital Terraria Lab implementation of the Sugarscape agent-based societal simulation.
A solo project simulating and visualizing complex systems, aiming to contribute to the field of complexity theory!
Spreading Processes on Networks
Source code for paper "Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents"
Chatbot that provides information to tourists using GenAI
Stable, release-only repository for the Digital Terraria Lab implementation of the Sugarscape agent-based societal simulation.
Source code for paper "Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents"
comses.net wagtail site
Generating Neural Spatial Interaction Tables
AI Stylist for Personalized outfit recommendation to User based on their age, size, location and weather.
ABM framework to grow an artificial civilization with fully customization and extensible rule-sets.
A Python package to study the theory of dialectical structures
An agent-based modeling framework for Python with a shallow learning curve and powerful visualization capabilities.
Exercises for the course Agent-Based Modeling of Economic Systems (363-0543-00L) held at ETH Zurich at the chair of Systems Design (https://www.vorlesungen.ethz.ch/Vorlesungsverzeichnis/lerneinheit.view?semkez=2023S&ansicht=ALLE&lerneinheitId=167292&lang=en)
An Agent-Based Model of Elephant Crop Raid Dynamics in the Periyar-Agasthyamalai Complex, India
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