The Degrees of Understanding and the Inferential Component of Understanding Cover Image

The Degrees of Understanding and the Inferential Component of Understanding
The Degrees of Understanding and the Inferential Component of Understanding

Author(s): Stefan Petkov
Subject(s): Philosophy of Science
Published by: Filozofický ústav SAV
Keywords: ecological theory of predation; explanatory understanding; scientific explanations; unification;

Summary/Abstract: Current debates on the nature of explanatory understanding have converged on the idea that at least one of the core components of understanding is inferential. Philosophers have characterized the inferential dimension of understanding as consisting of several related cognitive abilities to grasp a given explanation and the nexus of complementing explanations to which it belongs. Whilst analyses of both the subjective epistemic abilities related to grasping and objective features of the inferential links within explanations have received much attention, both within theories of explanation and in the literature on understanding, the criteria for evaluating the specific structure and organization of explanatory clusters or nexuses has received much less attention. Nevertheless, two notable exceptions stand out—Khalifa’s characterization of an explanatory nexus, and theories of explanatory unification. I take Khalifa’s ideas, together with the basic criteria of successful explanatory unification, as my starting point. To both I make some corrections and additions, in order to arrive at a more robust notion of an explanatory nexus and ultimately show that its structural properties and the inter-explanatory relations it contains are relevant to the resulting understanding. I propose to represent such nexuses as directed graph trees and show that some of their properties can be related to the degree of understanding that such nested explanatory structures can offer. I will further illustrate these ideas by a case study on an ecological theory of predation.

  • Issue Year: 28/2021
  • Issue No: 4
  • Page Range: 746-776
  • Page Count: 31
  • Language: English