PyPhi

PyPhi is a Python library for computing integrated information.

To report issues, please use the issue tracker on the GitHub repository. Bug reports and pull requests are welcome.

Getting started

The pyphi.network object is the main object on which computations are performed. It represents the network of interest.

The pyphi.subsystem object is the secondary object; it represents a subsystem of a network. \(\Phi\) is defined on subsystems.

The pyphi.compute module is the main entry-point for the library. It contains methods for calculating concepts, constellations, complexes, etc.

Examples

The best way to familiarize yourself with the software is to go through the examples below, following along in a REPL.

• Usage and Examples
  • Basic Usage
  • Residue
  • Conditional Independence
  • XOR Network
  • Emergence (Macro/Micro)
  • IIT 3.0 Paper (2014)
  • Conventions

Configuration

PyPhi can be configured in various important ways; see below for details.

• Configuration
  • Theoretical approximations
  • System resources
  • Caching
  • Logging
  • Numerical precision
  • Miscellaneous

API Reference

• API Reference
  • config
  • compute
  • network
  • subsystem
  • macro
  • convert
  • examples
  • models
  • node
  • concept_caching
  • memory
  • db
  • utils
  • validate