Probabilistic density function in Netlogo?

[Hayli Chiu]

Hi, 

I am trying to implement Bayesian update with each agent having its own prior distribution for a parameter. Is it possible to set a normal distribution for each agent? Thanks.

Best, 

Hay

[Pradeesh Kumar K V]

Hello Hay,

I am currently learning probability theory which includes Bayesian inference. So curious to know how you propose to implement Bayesian update in your model.

Since normal distribution is characterized by its mean and standard deviation, perhaps prior distribution can be represented by including the mean and standard deviation as agent variables?

Best,

Pradeesh

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[James Steiner]

Agents like turtles or patches or links can have their own variables. Like objects in an object -oriented programming language, agents can have properties (we call them "owned variables", as the syntax is like "turtkes-own [ a b c ]")

So agents can have their own individual values for those properties. Those values can be numbers, strings, other agents, lists, sets of agents, or anything else netlogo can store in a variable. 

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