PyCID: A Python Library for Causal Influence Diagrams

James Fox, Tom Everitt, Ryan Carey, Eric D. Langlois, Alessandro Abate, Michael J. Wooldridge

Abstract: Why did a decision maker select a certain decision? What behaviour does a certain objective incentivise? How can we improve this behaviour and ensure that a decision-maker chooses decisions with safer or fairer consequences? This paper introduces the Python package PyCID, built upon pgmpy, that implements (causal) influence diagrams, a widely used graphical modelling framework for decision-making problems.