 Roughly speaking, the causal-mechanical model of explanation maintains that science provides understanding of diverse facts and events by showing how these fit into the causal structure of the world. If chaos is a behavior exhibited by nonlinear systems (mathematical and physical), then it seems reasonable to think that there might be some mechanisms or processes standing behind this behavior. After all, chaos is typically understood to be a property of the dynamics of such systems, and dynamics often reflects the processes at work and their interactions. The links between causal mechanisms and behaviors in the causal-mechanical model are supposed to be reliable links along the following lines: If mechanism \(C\) is present, behavior \(B\) typically follows. In this sense, chaos explanations, understood on the causal-mechanical model, are envisioned as providing reliable connections between mechanisms and the chaotic behavior exhibited by systems containing such mechanisms. 