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".[1] 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:[1]

Recipients

YearRecipientsKey contributionsAffiliated institute(s)
2001Geoffrey E. HintonApplication of the backpropagation algorithm, Boltzmann machinesUniversity of Toronto,

Google AI,

University of California, San Diego,

Carnegie Mellon University,

University College London,

University of Edinburgh

2002Richard M. ShiffrinAtkinson-Shiffrin memory model, Retrieving Effectively From Memory modelIndiana University
2003Aravind JoshiTree-adjoining grammar formalism, Centering TheoryUniversity of Pennsylvania
2004John AndersonAdaptive Control of Thought—Rational theoryCarnegie Mellon University,

Yale University

2005Paul SmolenskyIntegrated Connectionist/Symbolic (ICS) architecture, Optimality Theory, Harmonic GrammarJohns Hopkins University,

Microsoft Research,

University of California, San Diego

2006Roger ShepardNon-metric multidimensional scaling, Universal Law of Generalization, theories on mental rotationStanford University
2007Jeffrey L. ElmanTRACE model, Simple Recurrent Neural Network (SRNN)University of California, San Diego
2008Shimon UllmanTheories of motion perception, application of visual routines, saliency mapsWeizmann Institute of Science, Israel,

Massachusetts Institute of Technology

2009Susan CareyTheories of conceptual development and language development, fast mappingHarvard University,

Massachusetts Institute of Technology,

New York University

2010Jay McClellandParallel Distributed Processing, application of connectionist models in cognitionStanford University, Carnegie Mellon University,
2011Judea PearlThe probabilistic approach to artificial intelligence, belief propagationUniversity of California, Los Angeles,

Princeton University,

Electronic Memories, Inc.

2012Peter DayanApplication of Bayesian methods to computational neuroscience, Q-learning algorithm, wake-sleep algorithm, Helmholtz machineMax Planck Institute for Biological Cybernetics,

University College London,

Massachusetts Institute of Technology

2013Linda B. SmithDynamic systems approach to cognitive development, early word learning, shape biasIndiana University
2014Ray JackendoffConceptual semantics, generative theory of tonal musicTufts University,

Brandeis University

2015Michael I. JordanLatent Dirichlet allocation, variational methods for approximate inference, expectation-maximization algorithmUniversity of California, Berkeley,

University of California, San Diego,

Massachusetts Institute of Technology

2016Dedre GentnerStructure-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

2017Lila GleitmanTheories of language acquisition and developmental psycholinguistics, notably the syntactic bootstrappingUniversity of Pennsylvania
2018Michael TanenhausTheories of language comprehension, notably the visual world paradigmUniversity of Rochester,

Wayne State University

2019Michelene ChiSelf-explanation, ICAP theory of active learningArizona State University,
2020Stanislas DehaeneTheories of numerical cognition, neural basis of reading, neural correlates of consciousnessINSERM, Collège de France
2021Susan Goldin-MeadowInnateness of language, gestural systems of communicationUniversity of Chicago
2022Michael TomaselloFunctional 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 University

2023 Nick Chater Bayesian Models of Cognition and Reasoning,[2] Simplicity theory,[3] 'Now-or-Never' Bottleneck in Language Acquisition[4] University of Warwick,

University College London

2024 Alison Gopnik Effect of Language on Thought, Development of a Theory of Mind,[5] Causal Learning[6] University of California, Berkeley

See also

References

  1. 1 2 "Rumelhart Prize, Cognitive Science Society Official Website". Retrieved July 14, 2022.
  2. ↑ Chater, Nick; Oaksford, Mike; Hahn, Ulrike; Heit, Evan (November 2010). "Bayesian models of cognition". WIREs Cognitive Science. 1 (6): 811–823. doi:10.1002/wcs.79. ISSN 1939-5078.
  3. ↑ Chater, Nick (April 1999). "The Search for Simplicity: A Fundamental Cognitive Principle?". The Quarterly Journal of Experimental Psychology Section A. 52 (2): 273–302. doi:10.1080/713755819. ISSN 0272-4987.
  4. ↑ Christiansen, Morten H.; Chater, Nick (January 2016). "The Now-or-Never bottleneck: A fundamental constraint on language". Behavioral and Brain Sciences. 39: e62. doi:10.1017/S0140525X1500031X. ISSN 0140-525X.
  5. ↑ Gopnik, Alison; Meltzoff, Andrew (1998). Words, thoughts, and theories. Learning, development, and conceptual change (2. print ed.). Cambridge, Mass. London: MIT. ISBN 978-0-262-07175-8.
  6. ↑ Buchsbaum, Daphna; Bridgers, Sophie; Skolnick Weisberg, Deena; Gopnik, Alison (August 5, 2012). "The power of possibility: causal learning, counterfactual reasoning, and pretend play". Philosophical Transactions of the Royal Society B: Biological Sciences. 367 (1599): 2202–2212. doi:10.1098/rstb.2012.0122. ISSN 0962-8436. PMC 3385687. PMID 22734063.
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