Complexity Theory investigates how complex systems behave and evolve over time, analyzing patterns that arise from interactions within a system. It incorporates concepts from various disciplines, including mathematics, computer science, biology, and economics, and is particularly relevant in understanding decentralized networks such as blockchains, where numerous agents interact in unpredictable ways. The main goal is to understand the underlying rules that govern these systems and how simple rules can lead to complex behaviors.