GEOG5995-Practicals
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Updated
Oct 30, 2020 - Python
GEOG5995-Practicals
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Python based reproduction of SFI-ASM by Arthur et al 1996
Exploring functional connectivity using repast4py, an agent based modeling python package.
Continuous-time noisy voter model
Submission for the Complexity Explorer's Complexity Challenge 2018
A smart agent which solves a escaping maze using MDP
Evolution in multi-agent framework with social networks
Agent-based model developed on the basis of the Regulatory Theory of Social Influence (RTSI) with two types of interacting agents: humans and AI entities.
A Package providing multiple tools for the statistical analysis and treatment of macroeconomic simulation models, with a particular focus on Agent-based and Stock-Flow Consistent Models
5C7 Complex Systems Science - Agent Based Modelling Lab
An agent based simulation of a viral outbreak, using PyGame
This project implements an agent based model (ABM) to simulate ant behaviour
Agent-based modelling of a central place forager under predation risk
Go AI Reinforcement Learning Project - This repository is dedicated to exploring and comparing two reinforcement learning methods—gradient descent and Q-value learning—in developing intelligent agents for the board game Go. The goal is to observe the model’s evolution after generating thousands of self-played games and compare agents’ results.
The implementation of the simulations mentioned in conformity papers by Ravshanbek Khodzhimatov, Stephan Leitner, and Friederike Wall (2021-2024)
Exploring passenger seat selection patterns in public buses using Expected Utility Theory, Personal Space Theory, Game Theory and other concepts.
Noisy voter model for the parliamentary presence
MESA agent-based model simulating organisational mobility/an internal labour market
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