Rumelhart Prize

The David E. Rumelhart Prize for Contributions to the Theoretical Foundations of Human Cognition was founded in 2001 in honor of the cognitive scientist David Rumelhart to introduce the equivalent of a Nobel Prize for cognitive science. It is awarded annually to "an individual or collaborative team making a significant contemporary contribution to the theoretical foundations of human cognition". The annual award is presented at the Cognitive Science Society meeting, where the recipient gives a lecture and receives a check for $100,000. At the conclusion of the ceremony, the next year's award winner is announced. The award is funded by the Robert J. Glushko and Pamela Samuelson Foundation.

The Rumelhart Prize committee is independent of the Cognitive Science Society. However, the society provides a large and interested audience for the awards.

Selection Committee As of 2022, the selection committee for the prize consisted of: Richard Cooper (chair) Dedre Gentner Robert J. Glushko Tania Lombrozo Steven T. Piantadosi Jesse Snedeker

Recipients Year Recipients Key contributions Affiliated institute(s) 2001 Geoffrey E. Hinton Application of the backpropagation algorithm, Boltzmann machinesUniversity of Toronto, Google AI,

University of California, San Diego,

Carnegie Mellon University,

University College London 2002 Richard M. Shiffrin Atkinson-Shiffrin memory model, Retrieving Effectively From Memory modelIndiana University 2003 Aravind Joshi Tree-adjoining grammar formalism, Centering TheoryUniversity of Pennsylvania 2004 John Anderson Adaptive Control of Thought—Rational theoryCarnegie Mellon University, Yale University 2005 Paul Smolensky Integrated Connectionist/Symbolic (ICS) architecture, Optimality Theory, Harmonic GrammarJohns Hopkins University, Microsoft Research,

University of California, San Diego 2006 Roger Shepard Non-metric multidimensional scaling, Universal Law of Generalization, theories on mental rotationStanford University 2007 Jeffrey L. Elman TRACE model, Simple Recurrent Neural Network (SRNN)University of California, San Diego 2008 Shimon Ullman Theories of motion perception, application of visual routines, saliency mapsWeizmann Institute of Science, Israel, Massachusetts Institute of Technology 2009 Susan Carey Theories of conceptual development and language development, fast mappingHarvard University, Massachusetts Institute of Technology,

New York University 2010 Jay McClelland Parallel Distributed Processing, application of connectionist models in cognitionStanford University,

Carnegie Mellon University,

University of California, San Diego 2011 Judea Pearl The probabilistic approach to artificial intelligence, belief propagationUniversity of California, Los Angeles, Princeton University,

Electronic Memories, Inc. 2012 Peter Dayan Application of Bayesian methods to computational neuroscience, Q-learning algorithm, wake-sleep algorithm, Helmholtz machine Max Planck Institute for Biological Cybernetics, University College London,

Massachusetts Institute of Technology 2013 Linda B. Smith Dynamic systems approach to cognitive development, early word learning, shape biasIndiana University 2014 Ray Jackendoff Conceptual semantics, generative theory of tonal musicTufts University, Brandeis University 2015 Michael I. Jordan Latent Dirichlet allocation, variational methods for approximate inference, expectation-maximization algorithmUniversity of California, Berkeley,

University of California, San Diego,

Massachusetts Institute of Technology 2016 Dedre Gentner Structure-Mapping Theory of analogical reasoning, theories of mental models, kind world hypothesisNorthwestern University, University of Illinois at Urbana-Champaign,

Bolt Beranek and Newman, Inc,

University of Washington 2017 Lila Gleitman Theories of language acquisition and developmental psycholinguistics, notably the syntactic bootstrappingUniversity of Pennsylvania 2018 Michael Tanenhaus Theories of language comprehension, notably the visual world paradigmUniversity of Rochester, Wayne State University 2019 Michelene Chi Self-explanation, ICAP theory of active learningArizona State University, 2020 Stanislas Dehaene Theories of numerical cognition, neural basis of reading, neural correlates of consciousnessINSERM, Collège de France 2021 Susan Goldin-Meadow Innateness of language, gestural systems of communicationUniversity of Chicago 2022 Michael Tomasello Functional theories of language development, uniqueness of human social cognition, namely the collective intentionality.Duke University,

Max Planck Institute for Evolutionary Anthropology,

University of Leipzig,

Emory University2023Nick ChaterBayesian Models of Cognition and Reasoning, Simplicity theory, 'Now-or-Never' Bottleneck in Language AcquisitionUniversity of Warwick,

University College London,

University of Edinburgh,

University of Oxford2024Alison GopnikEffect of Language on Thought, Development of a Theory of Mind, Causal LearningUniversity of California, Berkeley,

University of Toronto

Rumelhart Prize

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