Year | Recipients | Key contributions | Affiliated institute(s) |
2001 | Geoffrey E. Hinton | Application of the backpropagation algorithm, Boltzmann machines | University 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 model | Indiana University |
2003 | Aravind Joshi | Tree-adjoining grammar formalism, Centering Theory | University of Pennsylvania |
2004 | John Anderson | Adaptive Control of Thought—Rational theory | Carnegie Mellon University,
Yale University |
2005 | Paul Smolensky | Integrated Connectionist/Symbolic (ICS) architecture, Optimality Theory, Harmonic Grammar | Johns Hopkins University,
Microsoft Research,
University of California, San Diego |
2006 | Roger Shepard | Non-metric multidimensional scaling, Universal Law of Generalization, theories on mental rotation | Stanford 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 maps | Weizmann Institute of Science, Israel,
Massachusetts Institute of Technology |
2009 | Susan Carey | Theories of conceptual development and language development, fast mapping | Harvard University,
Massachusetts Institute of Technology,
New York University |
2010 | Jay McClelland | Parallel Distributed Processing, application of connectionist models in cognition | Stanford University,
Carnegie Mellon University,
University of California, San Diego |
2011 | Judea Pearl | The probabilistic approach to artificial intelligence, belief propagation | University 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 bias | Indiana University |
2014 | Ray Jackendoff | Conceptual semantics, generative theory of tonal music | Tufts University,
Brandeis University |
2015 | Michael I. Jordan | Latent Dirichlet allocation, variational methods for approximate inference, expectation-maximization algorithm | University 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 hypothesis | Northwestern 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 bootstrapping | University of Pennsylvania |
2018 | Michael Tanenhaus | Theories of language comprehension, notably the visual world paradigm | University of Rochester,
Wayne State University |
2019 | Michelene Chi | Self-explanation, ICAP theory of active learning | Arizona State University, |
2020 | Stanislas Dehaene | Theories of numerical cognition, neural basis of reading, neural correlates of consciousness | INSERM, Collège de France |
2021 | Susan Goldin-Meadow | Innateness of language, gestural systems of communication | University 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 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,
University of Edinburgh,
University of Oxford |
2024 |
Alison Gopnik |
Effect of Language on Thought, Development of a Theory of Mind,[5] Causal Learning[6] |
University of California, Berkeley,
University of Toronto |