| Perception of translational heading from optical flow. WH Warren, MW Morris, M Kalish Journal of Experimental Psychology: Human Perception and Performance 14 (4), 646, 1988 | 548 | 1988 |
| Language evolution by iterated learning with Bayesian agents TL Griffiths, ML Kalish Cognitive science 31 (3), 441-480, 2007 | 374 | 2007 |
| Iterated learning: Intergenerational knowledge transmission reveals inductive biases ML Kalish, TL Griffiths, S Lewandowsky Psychonomic Bulletin & Review 14 (2), 288-294, 2007 | 312 | 2007 |
| On the sufficiency of the velocity field for perception of heading WH Warren, AW Blackwell, KJ Kurtz, NG Hatsopoulos, ML Kalish Biological cybernetics 65, 311-320, 1991 | 221 | 1991 |
| Population of linear experts: knowledge partitioning and function learning. ML Kalish, S Lewandowsky, JK Kruschke Psychological Review 111 (4), 1072, 2004 | 184 | 2004 |
| Theoretical and empirical evidence for the impact of inductive biases on cultural evolution TL Griffiths, ML Kalish, S Lewandowsky Philosophical Transactions of the Royal Society B: Biological Sciences 363 …, 2008 | 147 | 2008 |
| A rational model of function learning CG Lucas, TL Griffiths, JJ Williams, ML Kalish Psychonomic bulletin & review 22 (5), 1193-1215, 2015 | 138 | 2015 |
| The wisdom of individuals: Exploring people's knowledge about everyday events using iterated learning S Lewandowsky, TL Griffiths, ML Kalish Cognitive science 33 (6), 969-998, 2009 | 124 | 2009 |
| Working memory does not dissociate between different perceptual categorization tasks. S Lewandowsky, LX Yang, BR Newell, ML Kalish Journal of experimental psychology: learning, memory, and cognition 38 (4), 881, 2012 | 120 | 2012 |
| Using category structures to test iterated learning as a method for identifying inductive biases TL Griffiths, BR Christian, ML Kalish Cognitive Science 32 (1), 68-107, 2008 | 107 | 2008 |
| A Bayesian view of language evolution by iterated learning TL Griffiths, ML Kalish Proceedings of the annual meeting of the cognitive science society 27 (27), 2005 | 106 | 2005 |
| Systems of category learning: Fact or fantasy? BR Newell, JC Dunn, M Kalish Psychology of learning and motivation 54, 167-215, 2011 | 97 | 2011 |
| Modeling human function learning with Gaussian processes T Griffiths, C Lucas, J Williams, M Kalish Advances in neural information processing systems 21, 2008 | 88 | 2008 |
| Simplified learning in complex situations: knowledge partitioning in function learning. S Lewandowsky, M Kalish, SK Ngang Journal of Experimental Psychology: General 131 (2), 163, 2002 | 85 | 2002 |
| The effect of feedback delay and feedback type on perceptual category learning: the limits of multiple systems. JC Dunn, BR Newell, ML Kalish Journal of Experimental Psychology: Learning, Memory, and Cognition 38 (4), 840, 2012 | 81 | 2012 |
| The dimensionality of perceptual category learning: A state-trace analysis BR Newell, JC Dunn, M Kalish Memory & Cognition 38 (5), 563-581, 2010 | 80 | 2010 |
| Knowledge and expertise S Lewandowsky, D Little, ML Kalish Handbook of applied cognition, 83-109, 2007 | 74 | 2007 |
| Introduction. Cultural transmission and the evolution of human behaviour K Smith, ML Kalish, TL Griffiths, S Lewandowsky Philosophical Transactions of the Royal Society B: Biological Sciences 363 …, 2008 | 65 | 2008 |
| State-trace analysis JC Dunn, ML Kalish Springer International Publishing, 2018 | 55 | 2018 |
| Identifying strategy use in category learning tasks: a case for more diagnostic data and models. C Donkin, BR Newell, M Kalish, JC Dunn, RM Nosofsky Journal of Experimental Psychology: Learning, Memory, and Cognition 41 (4), 933, 2015 | 55 | 2015 |
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityEmail yang diverifikasi di princeton.edu