Agents.jl VS crystal

We mean the standard "agent based model" https://www.pnas.org/doi/10.1073/pnas.082080899, https://en.wikipedia.org/wiki/Agent-based_model . The kind of thing you'd use Agents.jl for. For example, look at agent-based infection models. In these kind of models you create many individuals (agents) with rules. Each agent moves around, but if one is standing near an agent that is infected, there's a probability of infecting the nearby agent. What is the average percentage of infected people at time t?

Jullia has packages too.

Agent-based modeling looks like an interesting topic, something ripe for fun little side projects. The short (three paragraph) "Crash course on agent based modeling" [1] from the package docs gave me an idea of why ABM is useful, and scrolling through the example model [2] kinda answers what conveniences the package gives me over implementing the simulation myself.

Has anyone here used ABM for a serious project? Fields like economics and sociology are mentioned, but how prevalent is Agent based modeling in those fields in practice?

[1] https://juliadynamics.github.io/Agents.jl/stable/#Crash-cour...

Are the pieces the agents? I would recommend looking at Collaborative Diffusion for some examples of combining agent-based techniques with game modeling. As for frameworks, check out agentpy or Agents.jl for alternatives that are moreso software libraries that presume knowledge of programming.

I has a look to Julia too. There are nice tools build by JuliaDynamics. I.e. Agents.jl for agent based modeling. It handles collisions. There is also a framework for reinforcement learning. Also for Genetic Algorithms. Then I found a set of libraries related to Geometry. But it seems to be a lot of work to put that together for my use case.

For agent based modelling, you've come to the right place because Agents.jl is great! It has a way to get interactive visualisations from your models, although I haven't used it myself. See this year's JuliaCon talk about Agents.jl to get an idea of what it can do.

I'm always happy to find you have documentation ;). The doc from https://github.com/JuliaDynamics/Agents.jl was pretty helpful to a noob like me.

Here is the issue. Someone already commented saying it's due to a change in InteractiveDynamics.jl and referenced a pull request. I guess all we need to do is wait.

27. Crystal - $77,104

I like the first code example on https://crystal-lang.org

    # A very basic HTTP server

Obviously as an interpreted language, it's never going to be as fast as something like C, Rust, or Go. Traditionally the ruby maintainers have not designed or optimized for pure speed, but that is changing, and the language is definitely faster these days compared to a decade ago.

If you like the ruby syntax/language but want the speed of a compiled language, it's also worth checking out Crystal[^1]. It's mostly ruby-like in syntax, style, and developer ergonomics.[^2] Although it's an entirely different language. Also a tiny community.

[1]: https://crystal-lang.org/

Crystal is a nice language that's not only simple to read and write but performs very well too. And the documentation is amazing as well.

Ruby is a super fun scripting language. I much prefer it to python when I need something with a little more "ooomph" than bash. It's just...nice...to write in. Ruby performance has come a long way in the last decade as well. There's libraries for pretty much everything.

My modern programming toolkit is basically golang + ruby + bash and I am never left wanting.

I do find Crystal (https://crystal-lang.org/) really interesting and am hoping it has its own "ruby on rails" moment that helps the language reach a tipping point in popularity. All the beauty of ruby with all of the speed of Go (and then some, it often compares favorably to languages like rust in benchmarks).