Imagine a simple network where nodes can represent binary states (0 or 1). A sequence of state changes in a node, influenced by the states of its neighbors (Influence, Causality) and the rules governing these interactions (P2), can be seen as a basic form of Information Processing. If these rules allow for complex logic gates to be implemented using stable Patterns of nodes, then the network can perform computations.