Getting the Picture: A New Account of Scientific Understanding
Abstract
In recent years there has been increasing interest in scientific understanding as an epistemic success term that is distinct from scientific knowledge (see, for example, De Regt, Leonelli and Eigner 2009). Although this literature is diverse, three dominant strands can be found that have rather deeper roots in the philosophy of science: understanding as unification (Friedman 1974; Kitcher 1981); understanding through mechanistic thinking as in certain types of causal modelling (Salmon 1998; Woodward 2003); and a kind of contextualist pluralist approach to understanding (De Regt and Dieks 2005; De Regt 2009; 2014), which is in some ways similar to the account offered by Nelson Goodman (1968, 1978) and Catherine Elgin (1997, 2004). Proponents of these views often see them as complimentary or at least not contradictory. However, they have not yet to been brought neatly together in a single account. This is what I propose to do. At the heart of my approach is the thought that we should treat the characteristic content of understanding as pictorial, in contrast to the characteristic content of knowledge, which is propositional. By virtue of the distinctive ways in which they present their content, epistemically efficacious pictures exemplify, unify, show mechanical (and other) causal relations, allow for multiple readings and facilitate the contextualisation of their content, while still having determinate content. In other words, features of pictorial content facilitate cognitive and evaluative procedures that are characteristic of understanding and have already been identified as such in the literature. That understanding should be treated as something like “getting the picture” is supported, albeit weakly, by multiple remarks, more or less well-developed, linking understanding to picturing that can also be found in the literature on scientific understanding, as we shall see.