Publications

Andrew Perfors, Evan Kidd (2021). The role of stimulus-specific perceptual fluency in statistical learning. Preprint submitted for publication.

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Piers Howe, Andrew Perfors, Bradley Walker, Yoshihisa Kashima, Nicolas Fay (2021). Base rate neglect and conservatism in probabilistic reasoning: Insights from eliciting full distributions. Preprint submitted for publication.

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Paul Garrett, Joshua White, Simon Dennis, Stephan Lewandowsky, Cheng-Ta Yang, Yasmina Okan, Andrew Perfors, Philipp Lorenz-Spreen, Takashi Kusumi, Yoshihisa Kashima (2021). Papers please: Predictive factors for the uptake of national and international COVID-19 immunity and vaccination passports. Preprint submitted for publication.

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Nicolas Fay, Bradley Walker, Yoshihisa Kashima, Andrew Perfors (2021). Socially situated transmission: The bias to transmit negative information is moderated by the social context. Cognitive Science 45(9): e13033.

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Emma Baillie, Piers Howe, Andrew Perfors, Tim Miller, Yoshihisa Kashima, Andreas Beger (2021). Explainable models for forecasting the emergence of political instability. PLoS ONE 16(7): e0254350.

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Jessica Sullivan, Michelle Mei, Andrew Perfors, Andrew Perfors, Erica Wojcik, Michael Frank (2021). A large, longitudinal audiovisual dataset recorded from the infant’s perspective. Open Mind 5: 20-29.

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Keith Ransom, Andrew Perfors, Brett Hayes, Saoirse Connor Desai (2021). What do our sampling assumptions affect: how we encode data or how we reason from it?. Preprint submitted for publication.

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James Croft, Jessica Grisham, Andrew Perfors, Brett Hayes (2021). Risking everything in Obsessive-Compulsive Disorder: An analogue decision-making study. Journal of Psychopathology and Behavioral Assessment.

Project Published

Piers Howe, Andrew Perfors, Keith Ransom (2021). What interventions and increase or decrease polarisation in a population of rational agents?. In T Fitch and C Lamm and H Leder and K Tessmar-Raible (Eds.) Proceedings of the 43rd Annual Conference of the Cognitive Science Society: 1733-1739.

PDF Project Published

Keith Ransom, Andrew Perfors, Rachel Stephens (2021). Social meta-inference and the evidentiary value of consensus. In T Fitch and C Lamm and H Leder and K Tessmar-Raible (Eds.) Proceedings of the 43rd Annual Conference of the Cognitive Science Society: 833-839.

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Jessica Marris, Andrew Perfors, David Mitchell, Wayland Wang, Mark McCusker, Timothy Lovell, Robert Gibson, Frank Gaillard, Piers Howe (2021). How effective is perceptual training? Evaluating two perceptual training methods on a difficult visual categorisation task. In T Fitch and C Lamm and H Leder and K Tessmar-Raible (Eds.) Proceedings of the 43rd Annual Conference of the Cognitive Science Society: 2678-2684.

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Yoshihisa Kashima, Simon Dennis, Andrew Perfors, Simon Laham (2021). Culture and global societal threats: COVID-19 as a pathogen threat to humanity. Group Processes and Intergroup Relations 24(2): 223-230.

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Yoshihisa Kashima, Andrew Perfors, Vanessa Ferdinand, Elle Pattenden (2021). Ideology, communication, and polarisation. Philosophical Transactions of the Royal Society B 376: 20200133.

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Joshua White, Andrew Perfors (2021). Ambiguity aversion in qualitative contexts: A vignette study. Preprint submitted for publication.

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Simon De Deyne, Danielle Navarro, Guillem Collell, Andrew Perfors (2021). Visual and affective multimodal models of word meaning in language and mind. Cognitive Science 45(1): e12922.

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Paul Garrett, Joshua White, Stephan Lewandowsky, Yoshihisa Kashima, Andrew Perfors, Daniel Little, Nic Geard, Lewis Mitchell, Martin Tomko, Simon Dennis (2021). The acceptability and uptake of smartphone tracking for COVID-19 in Australia. PLoS ONE 16(1): e0244827.

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Stephan Lewandowsky, Simon Dennis, Andrew Perfors, Yoshihisa Kashima, Joshua White, Paul Garrett, Daniel Little, Muhsin Yesilada (2021). Public acceptance of privacy-encroaching policies to address the COVID-19 pandemic in the United Kingdom. PLoS ONE 16(1): e0245740.

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Vanessa Ferdinand, Andrew Perfors (2020). The evolution of category systems within and between learners. In S Denison, M Mack, Y Xu, and B Armstrong (Eds.) Proceedings of the 42nd Annual Conference of the Cognitive Science Society: 648-654.

PDF Project Published

Emily Sumner, Amy Li, Andrew Perfors, Brett Hayes, Danielle Navarro, Barbara Sarnecka (2020). The exploration advantage: Children's instinct to explore allows them to find information that adults miss. Preprint submitted for publication.

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Keith Ransom, Wouter Voorspoels, Danielle Navarro, Andrew Perfors (2019). Where the truth lies: how sampling implications drive deception without lying. Preprint submitted for publication.

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Simon De Deyne, Danielle Navarro, Andrew Perfors, Marc Brysbaert, Gert Storms (2019). The "Small World of Words" English word association norms for over 12,000 cue words. Behaviour Research Methods 51: 987-1006 [Best paper of the year].

PDF Dataset Project Project PsyArXiv Published

Andrew Hendrickson, Andrew Perfors (2019). Cross-situational learning in a Zipfian environment. Cognition 189: 11-22.

PDF Project OSF PsyArXiv Published

Campbell Pryor, Andrew Perfors, Piers Howe (2019). Even arbitrary norms influence moral decision-making. Nature Human Behaviour 3: 57-62.

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Campbell Pryor, Andrew Perfors, Piers Howe (2019). Conformity to the descriptive norms of people with opposing political or social beliefs. PLoS ONE 14(7): e0219464.

PDF Project Published

Yoshihisa Kashima, Paul Bain, Andrew Perfors (2019). The psychology of cultural dynamics: What is it, what do we know, and what is yet to be known?. Annual Review of Psychology 70: 499-529.

PDF Project Published

Andrew Perfors, Danielle Navarro (2019). Why do echo chambers form? The role of trust, population heterogeneity, and objective truth. In A Goel, C Seifert, and C Freksa (Eds.) Proceedings of the 41st Annual Conference of the Cognitive Science Society: 918-923.

PDF Project Published

Yung Khoe, Andrew Hendrickson, Andrew Perfors (2019). Modeling individual performance in cross-situational word learning. In A Goel, C Seifert, and C Freksa (Eds.) Proceedings of the 41st Annual Conference of the Cognitive Science Society: 560-566.

PDF Project Published

Samarth Mehrotra, Andrew Perfors (2019). Generic noun phrases in child speech. In A Goel, C Seifert, and C Freksa (Eds.) Proceedings of the 41st Annual Conference of the Cognitive Science Society: 803-808.

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Keith Ransom, Andrew Perfors (2019). Exploring the role that encoding and retrieval play in sampling effects. In A Goel, C Seifert, and C Freksa (Eds.) Proceedings of the 41st Annual Conference of the Cognitive Science Society: 946-952.

PDF Project Published

Andrew Hendrickson, Andrew Perfors, Danielle Navarro, Keith Ransom (2019). Sample size, number of categories and sampling assumptions: Exploring some differences between categorization and generalization. Cognitive Psychology 111: 80-102.

PDF Project OSF PsyArXiv Published

Wai Keen Vong, Andrew Hendrickson, Danielle Navarro, Andrew Perfors (2019). Do additional features help or hurt category learning? The curse of dimensionality in human learners. Cognitive Science 43.

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Danielle Navarro, Andrew Perfors, Arthur Kary, Scott Brown, Chris Donkin (2018). When extremists win: Cultural transmission via iterated learning when populations are heterogeneous. Cognitive Science 42: 2108-2149.

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Steven Langsford, Andrew Perfors, Andrew Hendrickson, Lauren Kennedy, Danielle Navarro (2018). Quantifying sentence acceptability measures: Reliability, bias, and variability. Glossa: A Journal of General Linguistics, 3(1): 37.

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Campbell Pryor, Andrew Perfors, Piers Howe (2018). Reversing the endowment effect. Judgment and Decision Making 13(3), 275-286..

PDF Project Published

Andrew Perfors, Danielle Navarro, Patrick Shafto (2018). Stronger evidence isn't always better: A role for social inference in evidence selection and interpretation. In C Kalish, M Rau, J Zhu and T Rogers (Eds.) Proceedings of the 40th Annual Conference of the Cognitive Science Society: 864-869.

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Keith Ransom, Andrew Hendrickson, Andrew Perfors, Danielle Navarro (2018). Representational and sampling assumptions drive individual differences in single category generalisation. In C Kalish, M Rau, J Zhu and T Rogers (Eds.) Proceedings of the 40th Annual Conference of the Cognitive Science Society: 930-935.

PDF Project Published

Simon De Deyne, Andrew Perfors, Danielle Navarro (2018). Learning word meaning with little means: An investigation into the inferential capacity of paradigmatic information. In C Kalish, M Rau, J Zhu and T Rogers (Eds.) Proceedings of the 40th Annual Conference of the Cognitive Science Society: 1608-1613.

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Andrew Perfors, Nicholas Van Dam (2018). Human decision making in black swan situations. In C Kalish, M Rau, J Zhu and T Rogers (Eds.) Proceedings of the 40th Annual Conference of the Cognitive Science Society: 870-875.

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Piers Howe, Andrew Perfors (2018). An argument for how (and why) to incentivise replication. Commentary. Behavioral and Brain Sciences 41.

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Lauren Kennedy, Danielle Navarro, Andrew Perfors, Nancy Briggs (2017). Not every credible interval is credible: On the importance of robust methods in Bayesian data analysis. Behavioral Research Methods, 49(6): 2219-2234.

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Kenny Smith, Andrew Perfors, Olga Feher, Anna Samara, Kate Swoboda, Elizabeth Wonnacott (2017). Language learning, language use, and the evolution of linguistic variation. Philosophical Transactions of the Royal Society B: Biological Sciences 372.

PDF Project Published

Simon De Deyne, Andrew Perfors, Danielle Navarro (2017). Predicting human similarity judgments with distributional models: The value of word associations. Proceedings of the 26th International Joint Conference on Artificial Intelligence, Melbourne, Australia, 4806-4810.

PDF Project

Andrew Perfors (2017). On simplicity and emergence. Psychonomic Bulletin and Review 24: 175-176.

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Sean Tauber, Danielle Navarro, Andrew Perfors, Marc Steyvers (2017). Bayesian models of cognition revisited: Setting optimality aside and letting data drive psychological theory. Psychological Review 124(4): 410-441.

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Danielle Navarro, Andrew Perfors, Arthur Kary, Scott Brown, Chris Donkin (2017). When extremists win: On the behavior of iterated learning chains when priors are heterogeneous. In G Gunzelmann, A Howes, T Tenbrink, and E Davelaar (Eds.) Proceedings of the 39th Annual Conference of the Cognitive Science Society: 847-852.

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Steven Langsford, Andrew Hendrickson, Andrew Perfors, Danielle Navarro (2017). When do learned transformations influence similarity and categorization?. In G Gunzelmann, A Howes, T Tenbrink, and E Davelaar (Eds.) Proceedings of the 39th Annual Conference of the Cognitive Science Society: 2530-2535.

PDF Project Published

Keith Ransom, Wouter Voorspoels, Andrew Perfors, Danielle Navarro (2017). A cognitive analysis of deception without lying. In G Gunzelmann, A Howes, T Tenbrink, and E Davelaar (Eds.) Proceedings of the 39th Annual Conference of the Cognitive Science Society: 992-997.

PDF Project Published

Dinis Gokaydin, Danielle Navarro, Anna Ma-Wyatt, Andrew Perfors (2016). The structure of sequential effects. Journal of Experimental Psychology: General 145: 110-123.

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Andrew Hendrickson, Danielle Navarro, Andrew Perfors (2016). Sensitivity to hypothesis size during information search. Decision 3: 62-80.

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Andrew Perfors (2016). Adult regularization of inconsistent input depends on pragmatic factors. Language Learning and Development 12: 138-155. [Peter Jusczyk Best Paper Award].

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Andrew Perfors (2016). Piaget, probability, causality, and contradiction. Human Development 59: 26-33.

PDF Project Published

Simon De Deyne, Andrew Perfors, Danielle Navarro (2016). Predicting human similarity judgments with distributional models: The value of word associations. 26th International Conference on Computational Linguistics, Osaka, Japan: 1861-1870. [Best Paper Award].

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Wai Keen Vong, Danielle Navarro, Andrew Perfors (2016). The helpfulness of category labels in semi-supervised learning depends on category structure. Psychonomic Bulletin and Review, 23: 230-238.

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Keith Ransom, Andrew Perfors, Danielle Navarro (2016). Leaping to conclusions: Why premise relevance affects argument strength. Cognitive Science 40(7): 1775-1796.

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Wai Keen Vong, Andrew Hendrickson, Andrew Perfors, Danielle Navarro (2016). Do additional features help or harm during category learning? An exploration of the curse of dimensionality in human learners. In A Papafragou, D Grodner, D Mirman and JC Trueswell (Eds.) Proceedings of the 38th Annual Conference of the Cognitive Science Society: 2471-2476. [Marr Prize Winner].

PDF Project Published

Simon De Deyne, Danielle Navarro, Andrew Perfors, Gert Storms (2016). Structure at every scale: A semantic network account of the similarities between very unrelated concepts. Journal of Experimental Psychology: General, 145(9): 1228-1254.

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Nick Chater, Alexander Clark, John Goldstone, Andrew Perfors (2015). Empiricism and language learnability. Oxford University Press.

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Simon De Deyne, Steven Verheyen, Andrew Perfors, Danielle Navarro (2015). Evidence for widespread thematic structure in the mental lexicon. In DC Noelle, R Dale, AS Warlaumont, J Yoshimi, T Matlock, CD Jennings and PP Maglio (Eds.) Proceedings of the 37th Annual Conference of the Cognitive Science Society: 518-523.

PDF Project Supplemental Published

Wouter Voorspoels, Danielle Navarro, Andrew Perfors, Keith Ransom, Gert Storms (2015). How do people learn from negative evidence? Non-monotonic generalizations and sampling assumptions in inductive reasoning. Cognitive Psychology 81: 1-25.

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Andrew Perfors (2014). Representations, approximations, and limitations within a computational framework for cognitive science: Commentary on article by Tecumseh Fitch. Physics of Life Reviews 11: 369-370.

PDF Project Published

Andrew Perfors (2014). Induction in language learning. In PJ Brooks and V Kempe (Eds.) Encyclopedia of Language Development: 281-283.

PDF Project

Andrew Perfors (2014). Bayesian inference in word learning. In PJ Brooks and V Kempe (Eds.) Encyclopedia of Language Development: 46-49.

PDF Project

Andrew Perfors, Danielle Navarro (2014). Language evolution can be shaped by the structure of the world. Cognitive Science 38(4): 775-793.

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Wai Keen Vong, Andrew Perfors, Danielle Navarro (2014). The relevance of labels in semi-supervised learning depends on category structure. In P Bellow, M Guarani, M McShane and B Scassellati (Eds.) Proceedings of the 36th Annual Conference of the Cognitive Science Society: 1718-1723.

PDF Project Published

Andrew Perfors, Keith Ransom, Danielle Navarro (2014). People ignore token frequency when deciding how widely to generalize. In P Bellow, M Guarani, M McShane and B Scassellati (Eds.) Proceedings of the 36th Annual Conference of the Cognitive Science Society: 2759-2764.

PDF Project Project Supplemental Published

Steven Langsford, Andrew Hendrickson, Andrew Perfors, Danielle Navarro (2014). People are sensitive to hypothesis sparsity during category discrimination. In P Bellow, M Guarani, M McShane and B Scassellati (Eds.) Proceedings of the 36th Annual Conference of the Cognitive Science Society: 2531-2536.

PDF Project Published

Andrew Hendrickson, Andrew Perfors, Danielle Navarro (2014). Adaptive information source selection during hypothesis testing. In P Bellow, M Guarani, M McShane and B Scassellati (Eds.) Proceedings of the 36th Annual Conference of the Cognitive Science Society: 607-612.

PDF Project Published

Danielle Navarro, Andrew Perfors, Wai Keen Vong (2013). Learning time-varying categories. Memory and Cognition 41: 917-927.

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Wai Keen Vong, Andrew Hendrickson, Andrew Perfors, Danielle Navarro (2013). The role of sampling assumptions in generalization with multiple categories. In M Knauff, M Pauen, N Sebanz and I Wachsmuth (Eds.) Proceedings of the 35th Annual Conference of the Cognitive Science Society: 3699-3704.

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Andrew Perfors (2012). When do memory limitations lead to regularization? An experimental and computational investigation. Journal of Memory and Language 67: 486-506.

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Andrew Perfors (2012). Bayesian models of cognition: What's built in after all?. Philosophy Compass 7: 127-138.

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Andrew Perfors, Danielle Navarro (2012). What Bayesian modelling can tell us about statistical learning: What it requires and why it works. In P Rebuschat and J Williams (Eds.) Statistical learning and language acquisition: 383-408.

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Simon De Deyne, Danielle Navarro, Andrew Perfors, Gert Storms (2012). Strong structure in weak semantic similarity: A graph based account. In N Miyake, D Peebles and RP Cooper (Eds.) Proceedings of the 34th Annual Conference of the Cognitive Science Society: 1464-1469.

PDF Project Published

Andrew Perfors (2012). Probability matching vs over-regularization in language: Participant behavior depends on their interpretation of the task. In N Miyake, D Peebles and RP Cooper (Eds.) Proceedings of the 34th Annual Conference of the Cognitive Science Society: 845-850.

PDF Project Published

Andrew Perfors, Jia Ong (2012). Musicians are better at learning non-native sound contrasts even in non-tonal languages. In N Miyake, D Peebles and RP Cooper (Eds.) Proceedings of the 34th Annual Conference of the Cognitive Science Society: 839-844.

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Andrew Perfors (2012). Levels of explanation and the workings of science. Australian Journal of Psychology 64: 52-59.

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Danielle Navarro, Andrew Perfors (2012). Anticipating changes: Adaptation and extrapolation in category learning. In N Miyake, D Peebles and RP Cooper (Eds.) Proceedings of the 34th Annual Conference of the Cognitive Science Society: 809-814.

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Patrick Shafto, Baxter Eaves, Danielle Navarro, Andrew Perfors (2012). Epistemic trust: Modeling children's reasoning about others' knowledge and intent. Developmental Science 15: 436-447.

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Andrew Perfors, Josh Tenenbaum, Terry Regier (2011). The learnability of abstract syntactic principles. Cognition 118: 306-338.

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Andrew Perfors, Josh Tenenbaum, Tom Griffiths, Fei Xu (2011). A tutorial introduction to Bayesian models of cognitive development. Cognition 120: 302-321.

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Andrew Perfors (2011). Simplicity and fit in grammatical theory. In E Bender and J Arnold (Eds.) Language from a cognitive perspective: 99-120.

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Danielle Navarro, Andrew Perfors (2011). Hypothesis generation, the positive test strategy, and sparse categories. Psychological Review 118: 120-134.

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Andrew Perfors, Elizabeth Wonnacott (2011). Bayesian modeling of sources of constraint in language acquisition. In I Arnon and E Clark (Eds.) Experience, Variation, and Generalization: Learning a first language: 277-294.

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Robert Montague, Danielle Navarro, Andrew Perfors, Russell Warner, Patrick Shafto (2011). To catch a liar: The effects of truthful and deceptive testimony on inferential learning. In L Carlson (Ed.) Proceedings of the 33rd Annual Conference of the Cognitive Science Society: 1312-1317.

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Andrew Perfors (2011). Memory limitations alone do not lead to over-regularization: An experimental and computational investigation. In L Carlson (Ed.) Proceedings of the 33rd Annual Conference of the Cognitive Science Society: 3274-3279.

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Silvia Yuan, Andrew Perfors, Josh Tenenbaum, Fei Xu (2011). Learning individual words and learning about words simultaneously. In L Carlson (Ed.) Proceedings of the 33rd Annual Conference of the Cognitive Science Society: 3280-3285.

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Andrew Perfors, Danielle Navarro (2011). Language evolution is shaped by the structure of the world: An iterated learning analysis. In L Carlson (Ed.) Proceedings of the 33rd Annual Conference of the Cognitive Science Society: 477-482.

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Dinis Gokaydin, Anna Ma-Wyatt, Danielle Navarro, Andrew Perfors (2011). Humans use different statistics for sequence analysis depending on the task. In L Carlson (Ed.) Proceedings of the 33rd Annual Conference of the Cognitive Science Society: 543-548.

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Danielle Navarro, Andrew Perfors (2011). Enlightenment grows from fundamentals: Comment on Jones and Love. Behavioral and Brain Sciences 34: 207-208.

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Andrew Perfors, Josh Tenenbaum, Elizabeth Wonnacott (2010). Variability, negative evidence, and the acquisition of verb argument constructions. Journal of Child Language 37: 607-642.

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Luke Maurits, Andrew Perfors, Danielle Navarro (2010). Why are some word orders more common than others? A uniform information density account. In J Lafferty, CKI Williams, J Shawe-Taylor, RS Zemel and A Culotta (Eds.) Advances in Neural Information Processing Systems: 1585-1593.

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Tom Griffiths, Nick Chater, Charles Kemp, Andrew Perfors, Josh Tenenbaum (2010). Probabilistic models of cognition: Exploring representations and inductive biases. Trends in Cognitive Sciences 14: 357-364.

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Andrew Perfors, Josh Tenenbaum, Edward Gibson, Terry Regier (2010). How recursive is language? A Bayesian exploration. In H Hulst (Ed.) Recursion and human language: 159-175.

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Danielle Navarro, Andrew Perfors (2010). Similarity, feature discovery, and the size principle. Acta Psychologica 133: 256-268.

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Rachel Stephens, Andrew Perfors, Danielle Navarro (2010). Social context effects on the impact of category labels. In S Ohlsson and R Catrambone (Eds.) Proceedings of the 32nd Annual Conference of the Cognitive Science Society: 1411-1416.

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Andrew Perfors, David Dunbar (2010). Phonetic training makes word learning easier. In S Ohlsson and R Catrambone (Eds.) Proceedings of the 32nd Annual Conference of the Cognitive Science Society: 1613-1618.

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Andrew Perfors, Danielle Navarro (2010). How does the presence of a label affect attention to other features?. In S Ohlsson and R Catrambone (Eds.) Proceedings of the 32nd Annual Conference of the Cognitive Science Society: 1834-1839.

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Andrew Perfors, Nicholas Burns (2010). Adult language learners under cognitive load do not over-regularize like children. In S Ohlsson and R Catrambone (Eds.) Proceedings of the 32nd Annual Conference of the Cognitive Science Society: 2524-2529.

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Anastasia Ejova, Danielle Navarro, Andrew Perfors (2009). When to walk away: The effect of variability on keeping options viable. N Taatgen, H Rijn, L Schomaker and J Nerbonne (Eds.) Proceedings of the 31st Annual Meeting of the Cognitive Science Society: 1258-1263.

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Andrew Perfors, Josh Tenenbaum (2009). Learning to learn categories. N Taatgen, H Rijn, L Schomaker and J Nerbonne (Eds.) Proceedings of the 31st Annual Meeting of the Cognitive Science Society: 136-141.

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Danielle Navarro, Andrew Perfors (2009). Learning time-varying categories. N Taatgen, H Rijn, L Schomaker and J Nerbonne (Eds.) Proceedings of the 31st Annual Meeting of the Cognitive Science Society: 419-424.

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Luke Maurits, Andrew Perfors, Danielle Navarro (2009). Joint acquisition of word order and word reference. N Taatgen, H Rijn, L Schomaker and J Nerbonne (Eds.) Proceedings of the 31st Annual Meeting of the Cognitive Science Society: 1728-1733.

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Andrew Perfors, Danielle Navarro (2009). Confirmation bias is rational when hypotheses are sparse. N Taatgen, H Rijn, L Schomaker and J Nerbonne (Eds.) Proceedings of the 31st Annual Meeting of the Cognitive Science Society: 2471-2476.

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Stephanie Foraker, Terry Regier, Naveen Khetarpal, Andrew Perfors, Josh Tenenbaum (2009). Indirect evidence and the poverty of the stimulus: The case of anaphoric one. Developmental Science 10: 307-321.

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Fei Xu, Kathryn Dewar, Andrew Perfors (2009). Induction, overhypotheses, and the shape bias: Some arguments and evidence for rational constructivism. In B Hood and L Santos (Eds.) The origins of object knowledge: 263-284.

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Andrew Perfors (2008). Learnability, representation, and language: A Bayesian approach. PhD Thesis. Massachusetts Institute of Technology Department of Brain and Cognitive Sciences. Cambridge, MA.

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Charles Kemp, Andrew Perfors, Josh Tenenbaum (2007). Learning overhypotheses with hierarchical Bayesian models. Developmental Science 10: 307-321.

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Stephanie Foraker, Terry Regier, Naveen Khetarpal, Andrew Perfors, Josh Tenenbaum (2007). Indirect evidence and the poverty of the stimulus: The case of anaphoric one. In D McNamara and J Trafton (Eds.) Proceedings of the 29th Annual Conference of the Cognitive Science Society: 275-281.

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Anne Fernald, Andrew Perfors, Virginia Marchman (2006). Picking up speed in understanding: Speech processing efficiency and vocabulary growth across the 2nd year. Developmental Psychology 42: 98-116.

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Andrew Perfors, Josh Tenenbaum, Terry Regier (2006). Poverty of the Stimulus? A rational approach. In R Sun and N Miyake (Eds.) Proceedings of the 28th Annual Conference of the Cognitive Science Society: 663-668.

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Charles Kemp, Andrew Perfors, Josh Tenenbaum (2006). Learning overhypotheses. In R Sun and N Miyake (Eds.) Proceedings of the 28th Annual Conference of the Cognitive Science Society: 417-422.

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Tom Wasow, Andrew Perfors, David Beaver (2005). The puzzle of ambiguity. In O Orgun and P Sells (Eds.) Morphology and The Web of Grammar: Essays in Memory of Steven G. Lapointe: 265-282.

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Andrew Perfors, Charles Kemp, Josh Tenenbaum (2005). Modeling the acquisition of domain structure and feature understanding. In B Bara, L Barsalou and M Bucciarelli (Eds.) Proceedings of the 27th Annual Conference of the Cognitive Science Society: 1720-1725.

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Charles Kemp, Andrew Perfors, Josh Tenenbaum (2004). Learning domain structures. In K Forbus, D Gentner and T Regier. (Eds.) Proceedings of the 26th Annual Conference of the Cognitive Science Society: 672-677.

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Andrew Perfors (2002). Simulated evolution of language: A review of the field. *Journal of Artificial Societies and Social Simulation 5(2).

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Andrew Perfors (2000). Simulated evolution of communication: The emergence of meaning. MA Thesis. Stanford University Linguistics Department. Stanford, CA.

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