generate_unfolding: Unfold a cyclic causal network

In neilbramley/acl_source: Functions for active causal learning

Description

This function unfolds a cyclic causal graph probabilitically for a set number of time steps

Usage

generate_unfolding(graph, starting_state, unfold_for = 20, pow = 0.75,
  sar = 0)

Arguments

graph	The graph to be unfolded
starting_state	The state at t=0
unfold_for	How many steps to unfold the graph for? Defaults to 20
pow	How likely are the causal connections to cause their effects, defaults to .75
sar	How likely are the components to turn on on their own, defaults to 0.

Examples

generate_unfolding(matrix(c(1,1,0,0), 2, 2, byrow=T), c(1,0))

neilbramley/acl_source documentation built on May 29, 2019, 6:53 p.m.