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EmmyNoetherRing t1_isswkjx wrote

This seems really neat! Just to make sure I understand correctly, do you have a link to an example of what you’re thinking about when you say “agent based model”? I tend to associate that with classical AI where there’s often a discrete and generally finite set of states and transitions, and the agent model is a policy on which transitions to use in which states.

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ChrisRackauckas OP t1_issyai3 wrote

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?

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EmmyNoetherRing t1_ist2jei wrote

Thanks! Sounds very related, but from a different angle than the one I've worked with before (which is closer to multi-agent systems, by the wikipedia article's nomenclature). Still discrete underneath though, if I'm reading it correctly? Or I guess looking at real valued parameters for the agents programs/states/locations?

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ChrisRackauckas OP t1_ist3pfj wrote

Yes, our case would be real-valued parameters for discretely valued simulations.

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