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
May 26, 2024 - Python
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
Comparative analysis of pairwise interactions in multivariate time series.
Python package for early warning signals (EWS) of bifurcations in time series data.
GIS Extension for Mesa Agent-Based Modeling
Synthetic models for phenology in mutualistic networks
Dooders is a python library for complex model-based simulations.
A bootstrapped version of the Governing the Commons agent-based model using the Helipad (python, event-based) framework. Demonstrates 'tragedy of the commons' system behaviour.
The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.
Extension of mesa for performance and scalability
Simulations of flocking behaviour in active agents, using a simple Viscek model
A deep classifier for detection of chaos and order in discreet dynamics. Online publication is here: https://arxiv.org/abs/2402.12359
reference implementation of the copan:CORE World-Earth modelling framework
scikit-mobility: mobility analysis in Python
MNEST (Multi-agent Neuro Evolution Simulation Toolkit) is a software framework designed to model and study emergent behavior in complex systems.
A Django app that helps you creating models within a Complex System
A project for decentralized semantic search and self-organization
An agent based model measuring alcohol harms based on fundamental cause theory
Automata on arbitrary networks, with Python
Symbolic Generators for Complex Networks
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