Lets uh simulate the dang thing

Implements the “model” in the gliske paper as a simple dynamic system.

"model"

Installation

  • Clone the thing:

    git clone https://github.com/sneakers-the-rat/svg_model

  • Install the dang thing:

    pip install ./svg_model

  • Use the dang thing:

    from svg_model import SVG_Model

mod = SVG_Model()

# run the model for one second
mod.run(1)

# get the data
df = mod.collect_monitors()

# lmao
df.plot(x='timestamp', y=['distress', 'social_behavioral', 'body_ownership', 'gender', 'culture', 'feedback'])

  • Reparameterize it too:

    mod = SVG_Model(
   weights = (0.2, 0.4),
   tau     = 5, # make the decay time constant 5 seconds
   # set resting values...
   resting = {
      'distress': 0.8,
      'social_behavioral': 0.2,
      'body_ownership': 0.5,
      'gender': 0.5,
      'culture': -1.0,
      'feedback': -0.3
   })

See the svg_model.model.SVG_Model class documentation for more specifics

Contents:

Indices and tables