Empirical Agent Training Software for Machine Learning Simulation Modeling
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Updated
Apr 8, 2016 - R
Empirical Agent Training Software for Machine Learning Simulation Modeling
Individual-based model for assessing the effects by-catch, ship noise etc. on harbour porpoises in the inner Danish waters
The FLAME 1 xparser
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This is a simple Java-based Artifical Intelligence (Agent). It's built up modular. The difference between many other Agents is that the experiences of the Intelligence will be relativized.
Code for the website associated with the book: Agent-Based Modelling and Geographical Information Systems: A Practical Primer
Simulating the behaviour of people in the event of fire
This is the repository for IDP's class (November, 2020)
Container handling problem solved using multi-agent model
A spatially explicit individual-based food web model for a large ecosystem
Interface to a compound agent-based model focused on examining hypothetical scenarios for the purpose of speculative analysis.
This is an agent based model developed using the Mesa framework in Python. The model is a combination of a looped implementation of a traffic simulation cellular automata and a responsive street lighting simulation.
Agent-based activity generation of runners for city infrastructure planning.
Agent based modeling (ABM) is a bottom-up simulation technique where we analyze a system by its individual agents that interact with each other.
Materials for the SENSE CDT practical on agent-based modelling for urban systems
Beyond Foxes and Hens is an agent-based model designed to accurately model realistic ecosystems. It is highly customizable, and can model any number of species in an environment of a given size.
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