 Different conclusions have been drawn by practitioners in the field. Some have endorsed the more modest claim that the computational features of CA are important to understand and compare social, biological, and physical systems modeled by them; but others have taken CA to support the view that computation and information processing in a discrete setting lie at the very foundations of reality. We will explore the stronger claim in  Section 3.4  below. As for the weaker claim, it is not possible here to address the general importance of computational properties across the sciences (see Mitchell 2009: 169–185). We will focus instead on a specific, and controversial, principle put forward by Stephen Wolfram, the so-called “Principle of Computational Equivalence”: