Cognitive Psychology Overview

Principles

Definition

Cognitive psychology is the scientific study of mental processes such as attention, memory, perception, language, problem-solving, and thinking. This field investigates how individuals acquire, process, and store information, aiming to elucidate the underlying structures and functions of human cognition.

Ontological type

Core Theories

Research Methods

Applied Domains

Key developments

Key Figures

Attention and Resource Limits era

Howard E. Egeth [1] stands as a central figure in the attention and resource limits era, with affiliations at Johns Hopkins University [2] and Duke University [3]. In this era his key contributions include articulating attention as a process constrained by finite resources, as illustrated by the 1975 paper Attention and Effort [4], and showing how selective attention, dual-task performance, and the emergence of automaticity reflect capacity limits. Egeth's continuing influence [1] in this era's study of attentional control and capacity allocation helped shape later theories and experiments, reinforcing the view that processing bottlenecks govern perceptual and cognitive tasks. Egeth's enduring legacy [1] guided methodological approaches to measuring effort and resource demands, aligning experimental designs with the era’s emphasis on task demands and bottlenecks.

Computational Formalization era

Alan Newell and Herbert A. Simon consolidated computational formalization in cognitive psychology by developing production-rule based architectures and the General Problem Solver, turning qualitative findings into executable models. John R. Anderson advanced ACT-R during the 1980s and 1990s, presenting a unified cognitive architecture that accounts for memory, attention and problem solving through specific algorithmic mechanisms. James L. McClelland and David Rumelhart propelled parallel distributed processing, showing how distributed representations can model perception, memory and language and challenging purely symbolic accounts. John Laird, Paul Rosenbloom and Allen Newell contributed to Soar, a general cognitive architecture that integrates rules, learning and planning to produce versatile intelligent behavior within a single formal framework.

Predictive Contextual Cognition era

Anthony G. Greenwald [1] is a pivotal figure in cognitive psychology, with affiliations at Harvard University [3] and Johns Hopkins University [4] during the Predictive Contextual Cognition era. Greenwald [1]'s work on measuring individual differences in implicit cognition through the implicit association test [7] reframed automatic associations as quantifiable cognitive processes, laying groundwork for prediction in socially contextualized settings. Nira Liberman [2] is a prominent researcher associated with Columbia University [5] and the University of Amsterdam [6] in this era. Liberman [2]'s Construal-level theory of psychological distance [8] demonstrates how psychological distance shapes mental representations and predictions, informing how people generalize from proximal to distant contexts across cultures.