Algorithmic Complexity for Short Strings
Description
Main functionality is to provide the algorithmic complexity for
short strings, an approximation of the Kolmogorov Complexity of a short
string using the coding theorem method (see ?acss). The database containing
the complexity is provided in the data only package acss.data, this package
provides functions accessing the data such as prob_random returning the
probability that a given string was produced by a random process. In
addition, two traditional (but problematic) measures of complexity are also
provided: entropy and change complexity.