cognitive psychology

cognitive psychology
Mrmw · Public domain · source
Name	Cognitive psychology
Field	Psychology
Related	Behaviorism, Cognitive science, Neuroscience

Contents

cognitive psychology Cognitive psychology is the scientific study of mental processes underlying perception, memory, reasoning, and language. It developed as an alternative to Behaviorism and interacted with institutions such as the Massachusetts Institute of Technology, the University of Cambridge, and the University of Oxford. Leading laboratories at the University of California, Berkeley, Harvard University, and the University of Chicago helped formalize experimental paradigms and computational models.

History

Origins trace to early experimentalists and philosophers including Wilhelm Wundt, Hermann Ebbinghaus, and William James, and to behaviorist-era debates involving John B. Watson and B. F. Skinner. Mid-20th-century shifts followed publications and events such as the development of the Turing machine concept by Alan Turing, the publication of Noam Chomsky's critique of behaviorism in reviews related to B. F. Skinner's work, and interdisciplinary gatherings at the RAND Corporation and Bell Labs. Seminal texts and projects at Massachusetts Institute of Technology (e.g., labs of George A. Miller, Jerome Bruner) and at Princeton University helped establish information-processing metaphors influenced by the Turing machine and by early computer engineers at IBM and Bell Labs.

Foundations draw on computational models exemplified by the Turing machine and the Von Neumann architecture, formal theories from Noam Chomsky on syntax, and neurophysiological work by Santiago Ramón y Cajal and Donald Hebb. Influential frameworks include the information-processing approach associated with George A. Miller, the connectionist models advanced at Massachusetts Institute of Technology and University of California, San Diego by researchers influenced by David Rumelhart and James McClelland, and Bayesian theories popularized by scholars connected to University College London and Stanford University. Cognitive models often reference computational laboratories such as Bell Labs and theoretical contributions from Alan Turing, Norbert Wiener, and Claude Shannon.

Key topics include perception studies originating from work at Wertheimer-related institutes and phenomenology associated with Hermann von Helmholtz; attention research tied to experiments at University of Pennsylvania and theorists like Donald Broadbent; memory investigations following Hermann Ebbinghaus and experimental programs at Columbia University and Yale University; language processing influenced by Noam Chomsky and experimentalists at Massachusetts Institute of Technology; decision-making linked to the heuristics and biases program associated with Daniel Kahneman and Amos Tversky at Princeton University and Hebrew University of Jerusalem; problem-solving traditions coming from studies at Carnegie Mellon University and University of Michigan; and intelligence measurement linked historically to works associated with Alfred Binet and institutions such as the University of Paris and Stanford University. Emotion-cognition interactions have been studied in labs at Harvard University and the National Institutes of Health; developmental trajectories were mapped by research programs at University of Chicago and University College London following leads from Jean Piaget and Lev Vygotsky.

Methodologies include controlled experiments in laboratories like those at Yale University and Princeton University; reaction-time paradigms formalized with equipment from Bell Labs and analytic techniques developed at University of Cambridge; neuroimaging methods established at centers such as Massachusetts General Hospital, University College London, and the National Institutes of Health using machines from manufacturers like Siemens and collaborations with Harvard Medical School; electrophysiology traditions with roots at Johns Hopkins University and signal-processing advances tied to Bell Labs and MIT Lincoln Laboratory. Paradigms span visual search tasks popularized in work at University of Michigan, memory experiments derived from Hermann Ebbinghaus and George A. Miller's labs, and psycholinguistic experiments influenced by Noam Chomsky and research groups at Massachusetts Institute of Technology.

Applications extend to clinical settings at the National Institutes of Health and Mayo Clinic; educational initiatives developed with the University of Chicago and Teachers College, Columbia University; human-computer interaction programs at Carnegie Mellon University and Stanford University; artificial intelligence collaborations with researchers at Massachusetts Institute of Technology, Stanford University, and corporate labs like IBM Research and Google Research; ergonomics and design efforts linked to NASA and the European Space Agency; and legal-forensic interfaces involving courts such as the Supreme Court of the United States and commissions convened by the American Psychological Association.

Critiques emerged from proponents of B. F. Skinner-style behaviorism and from advocates of ecological approaches at institutions associated with James J. Gibson and University of California, Berkeley. Debates over modularity featured exchanges involving Jerry Fodor and scholars at Massachusetts Institute of Technology and Rutgers University. Controversies about replicability and statistical practices have engaged communities at Center for Open Science and produced reforms discussed at conferences hosted by American Psychological Association and Cognitive Neuroscience Society.