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simulation-framework

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Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

  • Updated Apr 26, 2022
  • Python
AayushSabharwal
AayushSabharwal commented Apr 29, 2022
function add_agent!(A::Type{<:AbstractAgent}, model::ABM, properties...; kwargs...)
    add_agent!(random_position(model), A, model, properties...; kwargs...)
end

It appears this signature of add_agent! (L294 in space_interaction_API.jl) can't be used with nothing space

MWE:

mutable struct Agent1 <: AbstractAgent
    id::Int
end
model = ABM(Agent1)
add_age
bug good first issue

State-of-the-art Framework 🏗 for Cloud Computing ⛅️ Simulation: a modern, full-featured, easier-to-use, highly extensible 🧩, faster 🚀 and more accurate ☕️ Java 17+ tool for cloud computing research 🎓

  • Updated Dec 23, 2021
  • Java
Open

Tests

flaport
flaport commented Oct 14, 2019

The library needs tests to prevent bugs. This library uses pytest as test suite, which is by far the most user friendly test-suite for Python. This is great, because this means anyone can add tests; it's super easy! Moreover, it makes you acquainted with the code, which is why it's labeled a good first issue.

When adding tests, keep the following in mind:

good first issue

Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes. PowsimR is a flexible tool to simulate and evaluate differential expression from bulk and especially single-cell RNA-seq data making it suitable for a priori and posterior power analyses.

  • Updated Jul 15, 2021
  • R

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