Computational indeterminacy and explanations in cognitive science
Philippos Papayannopoulos, Nir Fresco, Oron Shagrir
Abstract
Abstract Computational physical systems may exhibit indeterminacy of computation (IC). Their identified physical dynamics may not suffice to select a unique computational profile. We consider this phenomenon from the point of view of cognitive science and examine how computational profiles of cognitive systems are identified and justified in practice, in the light of IC. To that end, we look at the literature on the underdetermination of theory by evidence and argue that the same devices that can be successfully employed to confirm physical hypotheses can also be used to rationally single out computational profiles, notwithstanding IC.
Topics & Concepts
UnderdeterminationIndeterminacy (philosophy)PhenomenonCognitionComputational modelComputationComputer sciencePoint (geometry)Cognitive sciencePhysical scienceCognitive psychologyComputational complexity theoryEpistemologyPsychologyArtificial intelligencePhilosophy of scienceMathematicsAlgorithmNeurosciencePhilosophyMathematics educationGeometryComputability, Logic, AI AlgorithmsPhilosophy and History of ScienceStatistical Mechanics and Entropy