Explanation In Contexts of Causal Complexity

\ud My dissertation examines common types of causal complexity in the biological sciences, the challenges they pose for explanation, and how scientists overcome these challenges. I provide a novel distinction between two types of causal complexity and I analyze explanatory patterns that arise in these contexts. My analysis reveals how explanation in the biological sciences is more diverse than mainstream accounts suggest, which view most or all explanations in this domain as mechanistic. I examine explanations that appeal to causal pathways, dynamical models, and monocausal factors and I show how these explanations are guided by considerations that have been overlooked in the extant literature. My project explores connections between these explanatory patterns and other topics of interest in philosophy and general philosophy of science, including: reduction, multiple realizability, causal selection, and the role of pragmatics in explanation