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[SamPy](https://www.preprints.org/manuscript/202211.0556/v2) is an agent-based modeling (ABM) simulation toolkit for infectious disease epidemiology. There is some interest from @tpoisot @Beasley015 (…
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To evaluate the behavior of the two agent types—**IndividualAgent** (competitive, individualistic behavior) and **SystemAgent** (collaborative, cooperative behavior)—design a series of experiments tha…
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This issue focuses on implementing statistical analyses for deeper insights into the simulation results. The goal is to analyze agent behavior, rewards, population dynamics, and other metrics to uncov…
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This issue aims to model simulation agent parameters using a DNA and genes-inspired approach. By structuring agent parameters, such as “learning rate,” as genes within a genome, we can encode, decode,…
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Develop a hybrid attack decision-making system for agents that combines a Q-learning neural network (QNN) and rule-based constraints. This system will allow agents to dynamically decide between aggres…
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### Describe the proposed feature and its relevance to inferencing
Add IREE and Godot Engine demos
### Context or use case
How can we should the world IREE and Godot Engine is cool.
### Pr…
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Now that the Simulation service is generically implemented, we need a way of trying out a Bevy simulation. In order to do this we should create a unit struct called something like `BevySimulator` that…
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Programming Historian in English has received a proposal for a lesson, "Simulations in historical research: How to create an agent-based model of communication networks" by @merrygin and @maltevogl.
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### **Description**
Add an interaction mechanism to allow agents to "play a game" with each other, such as sharing resources or attacking. This feature will enable agents to engage in complex inter…
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I am trying to generate Counterfactual Explanations for a NeuroTreeModel, also trained using `CounterfactualExplanations.jl`. While the model itself seems to work as expected (i.e., it is able to gene…