simulate_information_integration() creates a simple network of components
and estimates an educational integration score based on connectivity, shared
activity, and differentiation.
Usage
simulate_information_integration(
n_components = 8,
steps = 100,
connection_probability = 0.3,
coupling = 0.4,
noise = 0.1,
seed = NULL
)
Arguments
- n_components
Number of components in the system.
- steps
Number of time steps.
- connection_probability
Probability of a connection between components.
- coupling
Strength of influence among connected components.
- noise
Amount of random fluctuation.
- seed
Optional random seed.
Value
A list with a time series, adjacency matrix, and summary score.
Details
This function is inspired by information-integration ideas, but it is not an
implementation of Integrated Information Theory and does not compute phi.
Examples
info <- simulate_information_integration(seed = 1)
info$summary
#> mean_connectivity shared_information differentiation integration_score
#> 1 0.40625 0.1653532 0.3432453 0.02305742