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Mesa Packages
Tom Pike edited this page Apr 8, 2024
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- Field: GIS
- Overview: Mesa-geo implements a GeoSpace that can host GIS-based GeoAgents, which are like normal Agents, except they have a shape attribute that is a Shapely object. Detailed Description
- Author(s): Corvince, wang-boyu
- Field: Social-Ecological Systems
- Overview: ABSESpy has been designed to be a flexible and easy-to-use framework for agent-based modeling (ABM) of social-ecological systems (SES). It is built on top of the Mesa framework. ABSESpy provides a set of tools and utilities to help users to build, run, and analyze ABM models of SESs. Detailed Description
- Author(s): Shuang Song
- Field: All
- Overview: Enables caching simulations of mesa models, persisting them on the file system and replaying them later.
- Author(s): Logende
- Field: All
- Overview: This package provides an alternative visualization server for ABMs created with Mesa. The goal is to produce simple charts as easy as possible, while allowing full customization and providing two-way interactions between models and their visualizations.
- Author(s): Corvince,
- Field: Epidemics
- Overview: Provide core functions for a Susceptible-Infected-Recovery ABM. Detailed Description
- Example Implementation
- Author(s): Mark Bailey and Tom Pike
- Field: Economics
- Overview: A library of economic tools to support agent based models. Detailed Description
- Author(s): Chris Carroll, Matthew White, Nathan Palmer, David Low, Alexander Kaufman
- Field: Economics
- Overview: abcEconomics is a Python based modeling platform for economic simulations. abcEconomics comes with standard functions to simulations of trade, production and consumption. The modeler can concentrate on implementing the logic and decisions of an agents; abcEconomics takes care of all exchange of goods and production and consumption Detailed Description
- Author(s): Davoud Taghawi-Nejad
- Field: Complex Adaptive Systems
- Overview: A Mesa extension which allows for the inclusion of groups (modules) and levels (hierarchies) of agent groups. Increases synergy of Networks and ABMs by allowing users to dynamically change their schedule based on underlying complex network of agent population Detailed Description
- Example Implementations
- Paper: Multi-level Mesa
- Author(s): Tom Pike
- Field: Coalition Game Theory
- Overview: An algorithm for forming agents into coalitions. Detailed Description
- Paper: Integrating Computational Tools into Foreign Policy: Introducing Mesa Packages with a Coalition Algorithm
- Author(s): Tom Pike
- Field: Interior simulations
- Overview: SOBA (Simulation of Occupancy Based on Agents) is a tool of simulation of occupancy in buildings implemented in Python. Detailed Description
- Paper: Design and implementation of an agent-based social simulation model of energy related occupant behaviour in buildings
- Author(s): Eduardo Merino