title: Mechanisms for Robust Cognition.
abstract: To function well in an unpredictable environment using unreliable components, a system must have a high degree of robustness. Robustness is fundamental to biological systems and is an objective in the design of engineered systems such as airplane engines and buildings. Cognitive systems, like biological and engineered systems, exist within variable environments. This raises the question, how do cognitive systems achieve similarly high degrees of robustness? The aim of this study was to identify a set of mechanisms that enhance robustness in cognitive systems. We identify three mechanisms that enhance robustness in biological and engineered systems: system control, redundancy, and adaptability. After surveying the psychological literature for evidence of these mechanisms, we provide simulations illustrating how each contributes to robust cognition in a different psychological domain: psychomotor vigilance, semantic memory, and strategy selection. These simulations highlight features of a mathematical approach for quantifying robustness, and they provide concrete examples of mechanisms for robust cognition.
authors.affiliation: Air Force Research Laboratory, Wright-Patterson AFB.
authors.forename: Matthew M
authors.initials: MM
authors.lastname: Walsh
authors.affiliation: Air Force Research Laboratory, Wright-Patterson AFB.
authors.forename: Kevin A
authors.initials: KA
authors.lastname: Gluck
mesh_terms: D001288:Attention; D005075:Biological Evolution; D001921:Brain / Q000502:physiology*; D003071:Cognition / Q000502:physiology*; D003198:Computer Simulation; D006801:Humans; D008960:Models, Psychological
keywords: Adaptability; Cognitive systems; Computer simulation; Redundancy; Robustness; System control