Associate Professor Danielle   Navarro
Associate Professor

Associate Professor Danielle Navarro

Science
School of Psychology

Danielle Navarro is a computational cognitive scientist focusing on human learning and reasoning, and on statistical methods in the behavioural sciences, using a mix of experimental methods and computational modelling techniques to explore how the human mind works. Danielle is a cofounder of R-Ladies Sydney, and holds editorial roles at Science and Psychological Review.  For more information see djnavarro.net

Publications

  • Book Chapters | 2016
    Associate Professor Danielle Navarro
    De Deyne S; Kenett YN; Anaki D; Faust M; Navarro D, 2016, 'Large-scale network representations of semantics in the mental lexicon', in Jones MN (ed.), Big Data in Cognitive Science: From Methods to Insights, Psychology Press, pp. 174 - 202, http://dx.doi.org/10.4324/9781315413570
    Book Chapters | 2012
    Associate Professor Danielle Navarro
    Griffiths TL; Sanborn AN; Canini KR; Navarro DJ, 2012, 'Categorization as nonparametric Bayesian density estimation', in The Probabilistic Mind: Prospects for Bayesian cognitive science, http://dx.doi.org/10.1093/acprof:oso/9780199216093.003.0014
    Book Chapters | 2012
    Associate Professor Danielle Navarro
    Perfors A; Navarro DJ, 2012, 'What Bayesian modelling can tell us about statistical learning: What it requires and why it works', in Statistical Learning and Language Acquisition, pp. 383 - 408
    Books |
    Associate Professor Danielle Navarro
    Navarro D, Learning Statistics with R, Lulu.com
  • Journal articles | 2021
    Associate Professor Danielle Navarro
    Devezer B; Navarro DJ; Vandekerckhove J; Ozge Buzbas E, 2021, 'The case for formal methodology in scientific reform', Royal Society Open Science, vol. 8, http://dx.doi.org/10.1098/rsos.200805
    Journal articles | 2021
    Associate Professor Danielle Navarro
    Navarro DJ, 2021, 'If Mathematical Psychology Did Not Exist We Might Need to Invent It: A Comment on Theory Building in Psychology', Perspectives on Psychological Science, vol. 16, pp. 707 - 716, http://dx.doi.org/10.1177/1745691620974769
    Journal articles | 2021
    Associate Professor Danielle Navarro
    De Deyne S; Navarro DJ; Collell G; Perfors A, 2021, 'Visual and Affective Multimodal Models of Word Meaning in Language and Mind', Cognitive Science, vol. 45, pp. e12922, http://dx.doi.org/10.1111/cogs.12922
    Journal articles | 2021
    Associate Professor Danielle Navarro
    Walker AR; Navarro DJ; Newell BR; Beesley T, 2021, 'Protection from uncertainty in the exploration/exploitation trade-off.', Journal of Experimental Psychology: Learning Memory and Cognition, http://dx.doi.org/10.1037/xlm0000883
    Journal articles | 2020
    Associate Professor Danielle Navarro
    Xie B; Navarro DJ; Hayes BK, 2020, 'Adding Types, But Not Tokens, Affects Property Induction.', Cogn Sci, vol. 44, pp. e12895, http://dx.doi.org/10.1111/cogs.12895
    Journal articles | 2020
    Associate Professor Danielle Navarro
    Szollosi A; Kellen D; Navarro DJ; Shiffrin R; van Rooij I; Van Zandt T; Donkin C, 2020, 'Is Preregistration Worthwhile?', Trends in Cognitive Sciences, vol. 24, pp. 94 - 95, http://dx.doi.org/10.1016/j.tics.2019.11.009
    Journal articles | 2020
    Associate Professor Danielle Navarro
    Hotaling JM; Navarro DJ; Newell BR, 2020, 'Skilled bandits: Learning to choose in a reactive world.', Journal of Experimental Psychology: Learning Memory and Cognition, http://dx.doi.org/10.1037/xlm0000981
    Journal articles | 2020
    Associate Professor Danielle Navarro
    Martire KA; Edmond G; Navarro D, 2020, 'Exploring juror evaluations of expert opinions using the Expert Persuasion Expectancy framework', Legal and Criminological Psychology, vol. 25, pp. 90 - 110, http://dx.doi.org/10.1111/lcrp.12165
    Journal articles | 2019
    Associate Professor Danielle Navarro
    Hendrickson AT; Perfors A; Navarro DJ; Ransom K, 2019, 'Sample size, number of categories and sampling assumptions: Exploring some differences between categorization and generalization', Cognitive Psychology, vol. 111, pp. 80 - 102, http://dx.doi.org/10.1016/j.cogpsych.2019.03.001
    Journal articles | 2019
    Associate Professor Danielle Navarro
    De Deyne S; Navarro DJ; Perfors A; Brysbaert M; Storms G, 2019, 'The “Small World of Words” English word association norms for over 12,000 cue words', Behavior Research Methods, vol. 51, pp. 987 - 1006, http://dx.doi.org/10.3758/s13428-018-1115-7
    Journal articles | 2019
    Associate Professor Danielle Navarro
    Martire K; Growns B; Navarro D, 2019, 'What do the experts know? Calibration, precision, and the wisdom of crowds among forensic handwriting experts', PsyArXiv, vol. 25, pp. 2346 - 2355, http://dx.doi.org/10.31234/osf.io/pq7kz
    Journal articles | 2019
    Associate Professor Danielle Navarro
    Langsford S; Perfors A; Hendrickson AT; Kennedy LA; Navarro DJ, 2019, 'Quantifying sentence acceptability measures: Reliability, bias, and variability', Glossa, vol. 4, pp. 37 - 37, http://dx.doi.org/10.5334/gjgl.396
    Journal articles | 2019
    Associate Professor Danielle Navarro
    Navarro DJ, 2019, 'Between the Devil and the Deep Blue Sea: Tensions Between Scientific Judgement and Statistical Model Selection', Computational Brain & Behavior, vol. 2, pp. 28 - 34, http://dx.doi.org/10.1007/s42113-018-0019-z
    Journal articles | 2019
    Associate Professor Danielle Navarro
    Hayes BK; Banner S; Forrester S; Navarro DJ, 2019, 'Selective sampling and inductive inference: Drawing inferences based on observed and missing evidence', Cognitive Psychology, vol. 113, http://dx.doi.org/10.1016/j.cogpsych.2019.05.003
    Journal articles | 2019
    Associate Professor Danielle Navarro
    Hayes BK; Navarro DJ; Stephens RG; Ransom K; Dilevski N, 2019, 'The diversity effect in inductive reasoning depends on sampling assumptions', Psychonomic Bulletin and Review, vol. 26, pp. 1043 - 1050, http://dx.doi.org/10.3758/s13423-018-1562-2
    Journal articles | 2019
    Associate Professor Danielle Navarro
    Lee JC; Lovibond PF; Hayes BK; Navarro DJ, 2019, 'Negative evidence and inductive reasoning in generalization of associative learning', Journal of Experimental Psychology: General, vol. 148, pp. 289 - 303, http://dx.doi.org/10.1037/xge0000496
    Journal articles | 2018
    Associate Professor Danielle Navarro
    Navarro DJ; Perfors A; Kary A; Brown SD; Donkin C, 2018, 'When Extremists Win: Cultural Transmission Via Iterated Learning When Populations Are Heterogeneous', Cognitive Science, vol. 42, pp. 2108 - 2149, http://dx.doi.org/10.1111/cogs.12667
    Journal articles | 2018
    Associate Professor Danielle Navarro
    Navarro DJ; Tran P; Baz N, 2018, 'Aversion to Option Loss in a Restless Bandit Task', Computational Brain & Behavior, vol. 1, pp. 151 - 164, http://dx.doi.org/10.1007/s42113-018-0010-8
    Journal articles | 2017
    Associate Professor Danielle Navarro
    Navarro DJ; Kemp C, 2017, 'None of the above: A Bayesian account of the detection of novel categories', Psychological Review, vol. 124, pp. 643 - 677, http://dx.doi.org/10.1037/rev0000077
    Journal articles | 2017
    Associate Professor Danielle Navarro
    Tauber S; Navarro DJ; Perfors A; Steyvers M, 2017, 'Bayesian models of cognition revisited: Optimality aside and letting data drive psychological theory', Psychological Review, vol. 124, pp. 410 - 441, http://dx.doi.org/10.1037/rev0000052
    Journal articles | 2017
    Associate Professor Danielle Navarro
    Kennedy LA; Navarro DJ; Perfors A; Briggs N, 2017, 'Not every credible interval is credible: Evaluating robustness in the presence of contamination in Bayesian data analysis', Behavior Research Methods, vol. 49, pp. 2219 - 2234, http://dx.doi.org/10.3758/s13428-017-0854-1
    Journal articles | 2017
    Associate Professor Danielle Navarro
    Martire KA; Edmond G; Navarro D; Newell B, 2017, 'On the likelihood of “encapsulating all uncertainty”', Science and Justice, vol. 57, pp. 76 - 79, http://dx.doi.org/10.1016/j.scijus.2016.10.004
    Journal articles | 2016
    Associate Professor Danielle Navarro
    Ransom KJ; Perfors A; Navarro DJ, 2016, 'Leaping to Conclusions: Why Premise Relevance Affects Argument Strength', Cognitive Science, vol. 40, pp. 1775 - 1796, http://dx.doi.org/10.1111/cogs.12308
    Journal articles | 2016
    Associate Professor Danielle Navarro
    Vong WK; Navarro DJ; Perfors A, 2016, 'The helpfulness of category labels in semi-supervised learning depends on category structure', Psychonomic Bulletin and Review, vol. 23, pp. 230 - 238, http://dx.doi.org/10.3758/s13423-015-0857-9
    Journal articles | 2016
    Associate Professor Danielle Navarro
    Hendrickson AT; Navarro DJ; Perfors A, 2016, 'Sensitivity to hypothesis size during information search', Decision, vol. 3, pp. 62 - 80, http://dx.doi.org/10.1037/dec0000039
    Journal articles | 2016
    Associate Professor Danielle Navarro
    Gökaydin D; Navarro DJ; Ma-Wyatt A; Perfors A, 2016, 'The Structure of Sequential Effects', Journal of Experimental Psychology: General, vol. 145, pp. 110 - 123, http://dx.doi.org/10.1037/xge0000106
    Journal articles | 2016
    Associate Professor Danielle Navarro
    De Deyne S; Navarro DJ; Perfors A; Storms G, 2016, 'Structure at every scale: A semantic network account of the similarities between unrelated concepts', Journal of Experimental Psychology: General, vol. 145, pp. 1228 - 1254, http://dx.doi.org/10.1037/xge0000192
    Journal articles | 2016
    Associate Professor Danielle Navarro
    Navarro DJ; Newell BR; Schulze C, 2016, 'Learning and choosing in an uncertain world: An investigation of the explore-exploit dilemma in static and dynamic environments', Cognitive Psychology, vol. 85, pp. 43 - 77, http://dx.doi.org/10.1016/j.cogpsych.2016.01.001
    Journal articles | 2015
    Associate Professor Danielle Navarro
    Voorspoels W; Navarro DJ; Perfors A; Ransom K; Storms G, 2015, 'How do people learn from negative evidence? Non-monotonic generalizations and sampling assumptions in inductive reasoning', Cognitive Psychology, vol. 81, pp. 1 - 25, http://dx.doi.org/10.1016/j.cogpsych.2015.07.001
    Journal articles | 2015
    Associate Professor Danielle Navarro
    Ejova A; Delfabbro PH; Navarro DJ, 2015, 'Erroneous Gambling-Related Beliefs as Illusions of Primary and Secondary Control: A Confirmatory Factor Analysis', Journal of Gambling Studies, vol. 31, pp. 133 - 160, http://dx.doi.org/10.1007/s10899-013-9402-9
    Journal articles | 2014
    Associate Professor Danielle Navarro
    De Deyne S; Voorspoels W; Verheyen S; Navarro DJ; Storms G, 2014, 'Accounting for graded structure in adjective categories with valence-based opposition relationships', Language, Cognition and Neuroscience, vol. 29, pp. 568 - 583, http://dx.doi.org/10.1080/01690965.2013.794294
    Journal articles | 2014
    Associate Professor Danielle Navarro
    Perfors A; Navarro DJ, 2014, 'Language evolution can be shaped by the structure of the world', Cognitive Science, vol. 38, pp. 775 - 793, http://dx.doi.org/10.1111/cogs.12102
    Journal articles | 2013
    Associate Professor Danielle Navarro
    Fuss IG; Navarro DJ, 2013, 'Open parallel cooperative and competitive decision processes: A potential provenance for quantum probability decision models', Topics in Cognitive Science, vol. 5, pp. 818 - 843, http://dx.doi.org/10.1111/tops.12045
    Journal articles | 2013
    Associate Professor Danielle Navarro
    Navarro DJ; Perfors A; Vong WK, 2013, 'Learning time-varying categories', Memory and Cognition, vol. 41, pp. 917 - 927, http://dx.doi.org/10.3758/s13421-013-0309-6
    Journal articles | 2013
    Associate Professor Danielle Navarro
    De Deyne S; Navarro DJ; Storms G, 2013, 'Better explanations of lexical and semantic cognition using networks derived from continued rather than single-word associations', Behavior Research Methods, vol. 45, pp. 480 - 498, http://dx.doi.org/10.3758/s13428-012-0260-7
    Journal articles | 2013
    Associate Professor Danielle Navarro
    Ejova A; Navarro DJ; Delfabbro PH, 2013, 'Success-slope effects on the illusion of control and on remembered success-frequency', Judgment and Decision Making, vol. 8, pp. 498 - 511
    Journal articles | 2013
    Associate Professor Danielle Navarro
    Navarro DJ; Fuss I, 2013, 'What are the mechanics of quantum cognition?', Behavioral and Brain Sciences, vol. 36, pp. 299 - 300, http://dx.doi.org/10.1017/S0140525X12003056
    Journal articles | 2012
    Associate Professor Danielle Navarro
    Welsh MB; Navarro DJ, 2012, 'Seeing is believing: Priors, trust, and base rate neglect', Organizational Behavior and Human Decision Processes, vol. 119, pp. 1 - 14, http://dx.doi.org/10.1016/j.obhdp.2012.04.001
    Journal articles | 2012
    Associate Professor Danielle Navarro
    Navarro DJ; Dry MJ; Lee MD, 2012, 'Sampling Assumptions in Inductive Generalization', Cognitive Science, vol. 36, pp. 187 - 223, http://dx.doi.org/10.1111/j.1551-6709.2011.01212.x
    Journal articles | 2012
    Associate Professor Danielle Navarro
    Shafto P; Eaves B; Navarro DJ; Perfors A, 2012, 'Epistemic trust: Modeling children's reasoning about others' knowledge and intent', Developmental Science, vol. 15, pp. 436 - 447, http://dx.doi.org/10.1111/j.1467-7687.2012.01135.x
    Journal articles | 2012
    Associate Professor Danielle Navarro
    Butavicius MA; Lee MD; Pincombe BM; Mullen LG; Navarro DJ; Parsons KM; McCormac A, 2012, 'An assessment of email and spontaneous dialog visualizations', International Journal of Human Computer Studies, vol. 70, pp. 432 - 449, http://dx.doi.org/10.1016/j.ijhcs.2012.02.002
    Journal articles | 2011
    Associate Professor Danielle Navarro
    Navarro DJ; Perfors AF, 2011, 'Hypothesis Generation, Sparse Categories, and the Positive Test Strategy', Psychological Review, vol. 118, pp. 120 - 134, http://dx.doi.org/10.1037/a0021110
    Journal articles | 2011
    Associate Professor Danielle Navarro
    Navarro DJ; Perfors AF, 2011, 'Enlightenment grows from fundamentals', Behavioral and Brain Sciences, vol. 34, pp. 207 - 208, http://dx.doi.org/10.1017/S0140525X11000367
    Journal articles | 2010
    Associate Professor Danielle Navarro
    Navarro DJ; Perfors AF, 2010, 'Similarity, feature discovery, and the size principle', Acta Psychologica, vol. 133, pp. 256 - 268, http://dx.doi.org/10.1016/j.actpsy.2009.10.008
    Journal articles | 2010
    Associate Professor Danielle Navarro
    Sanborn AN; Griffiths TL; Navarro DJ, 2010, 'Rational Approximations to Rational Models: Alternative Algorithms for Category Learning', Psychological Review, vol. 117, pp. 1144 - 1167, http://dx.doi.org/10.1037/a0020511
    Journal articles | 2010
    Associate Professor Danielle Navarro
    Storms G; Navarro DJ; Lee MD, 2010, 'Introduction to the special issue on formal modeling of semantic concepts', Acta Psychologica, vol. 133, pp. 213 - 215, http://dx.doi.org/10.1016/j.actpsy.2009.11.004
    Journal articles | 2010
    Associate Professor Danielle Navarro
    Walwyn AL; Navarro DJ, 2010, 'Minimal Paths in the City Block: Human Performance on Euclidean and Non-Euclidean Traveling Salesperson Problems', JOURNAL OF PROBLEM SOLVING, vol. 3, pp. 93 - 105, http://dx.doi.org/10.7771/1932-6246.1080
    Journal articles | 2009
    Associate Professor Danielle Navarro
    Navarro DJ; Fuss IG, 2009, 'Fast and accurate calculations for first-passage times in Wiener diffusion models', Journal of Mathematical Psychology, vol. 53, pp. 222 - 230, http://dx.doi.org/10.1016/j.jmp.2009.02.003
    Journal articles | 2009
    Associate Professor Danielle Navarro
    Grünwald P; Navarro DJ, 2009, 'NML, Bayes and true distributions: A comment on Karabatsos and Walker (2006)', Journal of Mathematical Psychology, vol. 53, pp. 43 - 51, http://dx.doi.org/10.1016/j.jmp.2008.11.005
    Journal articles | 2009
    Associate Professor Danielle Navarro
    O'doherty KC; Navarro DJ; Crabb SH, 2009, 'A Qualitative Approach to the Study of Causal Reasoning in Natural Language: The Domain of Genes, Risks and Cancer', Theory & Psychology, vol. 19, pp. 475 - 500, http://dx.doi.org/10.1177/0959354309336321
    Journal articles | 2008
    Associate Professor Danielle Navarro
    Navarro DJ; Griffiths TL, 2008, 'Latent features in similarity judgments: A nonparametric bayesian approach', Neural Computation, vol. 20, pp. 2597 - 2628, http://dx.doi.org/10.1162/neco.2008.04-07-504
    Journal articles | 2007
    Associate Professor Danielle Navarro
    Navarro DJ, 2007, 'On the interaction between exemplar-based concepts and a response scaling process', Journal of Mathematical Psychology, vol. 51, pp. 85 - 98, http://dx.doi.org/10.1016/j.jmp.2006.11.003
    Journal articles | 2007
    Associate Professor Danielle Navarro
    Myung JI; Pitt MA; Navarro DJ, 2007, 'Does response scaling cause the generalized context model to mimic a prototype model?', Psychonomic Bulletin and Review, vol. 14, pp. 1043 - 1050, http://dx.doi.org/10.3758/BF03193089
    Journal articles | 2007
    Associate Professor Danielle Navarro
    Navarro DJ, 2007, 'Similarity, distance, and categorization: A discussion of Smith's (2006) warning about "colliding parameters"', Psychonomic Bulletin and Review, vol. 14, pp. 823 - 833, http://dx.doi.org/10.3758/BF03194107
    Journal articles | 2006
    Associate Professor Danielle Navarro
    Navarro DJ; Griffiths TL; Steyvers M; Lee MD, 2006, 'Modeling individual differences using Dirichlet processes', Journal of Mathematical Psychology, vol. 50, pp. 101 - 122, http://dx.doi.org/10.1016/j.jmp.2005.11.006
    Journal articles | 2006
    Associate Professor Danielle Navarro
    Myung JI; Navarro DJ; Pitt MA, 2006, 'Model selection by normalized maximum likelihood', Journal of Mathematical Psychology, vol. 50, pp. 167 - 179, http://dx.doi.org/10.1016/j.jmp.2005.06.008
    Journal articles | 2006
    Associate Professor Danielle Navarro
    Pitt MA; Kim W; Navarro DJ; Myung JI, 2006, 'Global model analysis by parameter space partitioning', Psychological Review, vol. 113, pp. 57 - 83, http://dx.doi.org/10.1037/0033-295X.113.1.57
    Journal articles | 2005
    Associate Professor Danielle Navarro
    Navarro DJ, 2005, 'Analyzing the RULEX model of category learning', Journal of Mathematical Psychology, vol. 49, pp. 259 - 275, http://dx.doi.org/10.1016/j.jmp.2005.04.001
    Journal articles | 2004
    Associate Professor Danielle Navarro
    Navarro DJ; Lee MD, 2004, 'Common and distinctive features in stimulus similarity: A modified version of the contrast model', Psychonomic Bulletin and Review, vol. 11, pp. 961 - 974, http://dx.doi.org/10.3758/BF03196728
    Journal articles | 2004
    Associate Professor Danielle Navarro
    Navarro DJ; Pitt MA; Myung IJ, 2004, 'Assessing the distinguishability of models and the informativeness of data', Cognitive Psychology, vol. 49, pp. 47 - 84, http://dx.doi.org/10.1016/j.cogpsych.2003.11.001
    Journal articles | 2004
    Associate Professor Danielle Navarro
    Navarro DJ, 2004, 'A note on the applied use of MDL approximations', Neural Computation, vol. 16, pp. 1763 - 1768, http://dx.doi.org/10.1162/0899766041336378
    Journal articles | 2003
    Associate Professor Danielle Navarro
    Navarro DJ, 2003, 'Regarding the complexity of additive clustering models: Comment on Lee (2001)', Journal of Mathematical Psychology, vol. 47, pp. 241 - 243, http://dx.doi.org/10.1016/S0022-2496(02)00026-3
    Journal articles | 2002
    Associate Professor Danielle Navarro
    Lee MD; Navarro DJ, 2002, 'Extending the ALCOVE model of category learning to featural stimulus domains', Psychonomic Bulletin and Review, vol. 9, pp. 43 - 58, http://dx.doi.org/10.3758/BF03196256
    Journal articles | 2000
    Associate Professor Danielle Navarro
    Vickers D; Navarro DJ; Lee MD, 2000, 'Towards a transformational approach to perceptual organization', International Conference on Knowledge-Based Intelligent Electronic Systems, Proceedings, KES, vol. 1, pp. 325 - 328
  • Other | 2019
    Associate Professor Danielle Navarro
    Navarro D; Foxcroft D, 2019, Learning Statistics with Jamovi, http://dx.doi.org/10.24384/hgc3-7p15
    Other | 2019
    Associate Professor Danielle Navarro
    Navarro D; Foxcroft D; Faulkenberry T, 2019, Learning Statistics with JASP, https://learnstatswithjasp.com/
    Conference Papers | 2018
    Associate Professor Danielle Navarro
    Xie B; Hayes BK; Navarro D, 2018, 'Adding types, but not tokens, affects the breadth of property induction', in Rogers TT; Rau M; Zhu X; Kalish CW (eds.), COGSCI 2018 Proceedings, Cognitive Science Society, Madison, USA, pp. 1199 - 1204, presented at 40th Annual Conference of the Cognitive Science Society, Madison, USA, 25 July 2018 - 28 July 2018, https://cognitivesciencesociety.org/past-conferences/
    Conference Papers | 2017
    Associate Professor Danielle Navarro
    De Deyne S; Perfors A; Navarro DJ, 2017, 'Predicting human similarity judgments with distributional models: The value of word associations', in IJCAI International Joint Conference on Artificial Intelligence, pp. 4806 - 4810, http://dx.doi.org/10.24963/ijcai.2017/671
    Conference Papers | 2017
    Associate Professor Danielle Navarro
    Hayes BK; Banner S; Navarro DJ, 2017, 'Sampling frames, Bayesian inference and inductive reasoning', in Gunzelmann G; Howes A; Tenbrink T; Davelaar E (eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society, Cognitive Science Society
    Conference Papers | 2017
    Associate Professor Danielle Navarro
    Pitt MA; Navarro DJ, 2017, 'Tools for learning about computational models', in Cutler A (ed.), TWENTY-FIRST CENTURY PSYCHOLINGUISTICS: FOUR CORNERSTONES, LAWRENCE ERLBAUM ASSOC PUBL, Wunndtlaan, NETHERLANDS, pp. 347 - 362, presented at Conference on Twenty-First Century Psycholinguistics, Wunndtlaan, NETHERLANDS, 26 September 2003 - 27 September 2003, http://dx.doi.org/10.4324/9781315084503-25
    Conference Papers | 2017
    Associate Professor Danielle Navarro
    Navarro DJ; Perfors A; Kary A; Brown S; Donkin C, 2017, 'When extremists win: On the behavior of iterated learning chains when priors are heterogeneous.', in Gunzelmann G; Howes A; Tenbrink T; Davelaar EJ (eds.), CogSci, cognitivesciencesociety.org, presented at Proceedings of the 39th Annual Meeting of the Cognitive Science Society, CogSci 2017, London, UK, 16-29 July 2017, https://mindmodeling.org/cogsci2017/
    Conference Papers | 2017
    Associate Professor Danielle Navarro
    Ransom K; Voorspoels W; Perfors A; Navarro DJ, 2017, 'A cognitive analysis of deception without lying', in Gunzelmann G; Howes A; Tenbrink T; Davelaar E (eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society, Cognitive Science Society
    Conference Papers | 2017
    Associate Professor Danielle Navarro
    Langsford S; Hendrickson AT; Perfors A; Navarro DJ, 2017, 'When do learned transformations influence similarity and categorization?', in Gunzelmann G; Howes A; Tenbrink T; Davelaar E (eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society, Cognitive Science Society
    Conference Papers | 2016
    Associate Professor Danielle Navarro
    Vong WK; Hendrickson AT; Perfors A; Navarro D, 2016, 'Do additional features help or harm during category learning? An exploration of the curse of dimensionality in human learners', in Papafragou A; Grodner D; Mirman D; Trueswell JC (eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society, Cognitive Science Society, Philadephia, USA, pp. 2471 - 2476, presented at 38th Annual Conference of the Cognitive Science Society, Philadephia, USA, 10 August 2016 - 10 August 2016, https://mindmodeling.org//cogsci2016/papers/0427/index.html
    Conference Papers | 2016
    Associate Professor Danielle Navarro
    De Deyne S; Perfors A; Navarro D, 2016, 'Predicting human similarity judgments with distributional models: The value of word associations', in Proceedings of COLING 2016, the 27th International Conference on Computational Linguistics, Osaka, Japan, pp. 1861 - 1870, presented at 26th International Conference on Computational Linguistics, Osaka, Japan, 11 December 2016 - 16 December 2016, http://coling2016.anlp.jp/doc/main.pdf
    Conference Papers | 2016
    Associate Professor Danielle Navarro
    Welsh MB; Steacy S; Begg S; Navarro D, 2016, 'A tale of two disasters: Biases in risk communication', in Papafragou A; Grodner D; Mirman D; Trueswell JC (eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society, Cognitive Science Society, Philadelphia, USA, pp. 544 - 549, presented at Annual Conference of the Cognitive Science Society, Philadelphia, USA, 10 August 2016 - 13 August 2016, https://mindmodeling.org//cogsci2016/papers/0105/index.html
    Conference Papers | 2015
    Associate Professor Danielle Navarro
    Henderson A; Navarro ; Donkin C, 2015, 'Quantifying the time course of similarity', in Quantifying the time course of similarity, Conference of the Cognitive Science Society, California, USA, pp. 908 - 913, presented at Conference of the Cognitive Science Society, California, USA, 23 July 2015 - 25 July 2015, https://mindmodeling.org/cogsci2015/
    Conference Papers | 2010
    Associate Professor Danielle Navarro
    Maurits L; Perfors A; Navarro D, 2010, 'Why are some word orders more common than others? A Uniform Information Density account', in Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010
    Conference Papers | 2010
    Associate Professor Danielle Navarro
    Bruza B; Welsh MB; Navarro DJ; Begg SH, 2010, 'In What Sense is P(A vertical bar B) P(B) = P(A,B)? The Relationship between Distributional Format and Subjective Probability Estimates', in Ohlsson S; Catrambone R (ed.), COGNITION IN FLUX, COGNITIVE SCIENCE SOCIETY, INC, Portland, OR, pp. 1792 - 1797, presented at 32nd Annual Meeting of the Cognitive-Science-Society, Portland, OR, 11 August 2010 - 14 August 2010, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000392421700448&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Conference Papers | 2010
    Associate Professor Danielle Navarro
    Stephens RG; Perfors A; Navarro DJ, 2010, 'Social Context Effects on the Impact of Category Labels', in Ohlsson S; Catrambone R (ed.), COGNITION IN FLUX, COGNITIVE SCIENCE SOCIETY, INC, Portland, OR, pp. 1411 - 1416, presented at 32nd Annual Meeting of the Cognitive-Science-Society, Portland, OR, 11 August 2010 - 14 August 2010, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000392421700384&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Conference Papers | 2010
    Associate Professor Danielle Navarro
    Perfors A; Navarro DJ, 2010, 'How does the presence of a label affect attention to other features?', in Ohlsson S; Catrambone R (ed.), COGNITION IN FLUX, COGNITIVE SCIENCE SOCIETY, INC, Portland, OR, pp. 1834 - 1839, presented at 32nd Annual Meeting of the Cognitive-Science-Society, Portland, OR, 11 August 2010 - 14 August 2010, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000392421700455&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Conference Papers | 2010
    Associate Professor Danielle Navarro
    Navarro DJ, 2010, 'Learning the context of a category', in Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010
    Conference Papers | 2007
    Associate Professor Danielle Navarro
    Navarro DJ; Griffiths TL, 2007, 'A nonparametric Bayesian method for inferring features from similarity judgments', in Advances in Neural Information Processing Systems, pp. 1033 - 1040
    Conference Papers | 2007
    Associate Professor Danielle Navarro
    Lee MD; Fuss IG; Navarro DJ, 2007, 'A Bayesian approach to diffusion models of decision-making and response time', in Advances in Neural Information Processing Systems, pp. 809 - 816
    Conference Papers | 2005
    Associate Professor Danielle Navarro
    Myung JI; Pitt MA; Navarro DJ, 2005, 'Model selection in cognitive science as an inverse problem', in Proceedings of SPIE - The International Society for Optical Engineering, pp. 219 - 228, http://dx.doi.org/10.1117/12.610320
    Conference Papers | 2005
    Associate Professor Danielle Navarro
    Navarro DJ; Lee MD, 2005, 'An application of minimum description length clustering to partitioning learning curves', in 2005 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), VOLS 1 AND 2, IEEE, Adelaide, AUSTRALIA, pp. 587 - 591, presented at IEEE International Symposium on Information Theory and Its Applications, Adelaide, AUSTRALIA, 04 September 2005 - 09 September 2005, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000234713800124&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Conference Papers | 2004
    Associate Professor Danielle Navarro
    Kim W; Navarro DJ; Pitt MA; Myung IJ, 2004, 'An MCMC-based method of comparing connectionist models in cognitive science', in Advances in Neural Information Processing Systems
    Conference Papers | 2003
    Associate Professor Danielle Navarro
    Navarro DJ; Lee MD, 2003, 'Combining dimensions and features in similarity-based representations', in Advances in Neural Information Processing Systems
    Conference Papers | 2003
    Associate Professor Danielle Navarro
    Navarro DJ; Myung IJ; Pitt MA; Kim W, 2003, 'Global model analysis by landscaping', in Alterman R; Kirsh D (ed.), PROCEEDINGS OF THE TWENTY-FIFTH ANNUAL CONFERENCE OF THE COGNITIVE SCIENCE SOCIETY, PTS 1 AND 2, LAWRENCE ERLBAUM ASSOC PUBL, Boston, MA, pp. 851 - 856, presented at 25th Annual Conference of the Cognitive-Science-Society, Boston, MA, 31 July 2003 - 02 August 2003, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000232001900163&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Conference Papers | 2001
    Associate Professor Danielle Navarro
    Lee MD; Navarro DJ, 2001, 'Minimum description length and psychological clustering models', in Grunwald PD; Myung IJ; Pitt MA (eds.), ADVANCES IN MINIMUM DESCRIPTION LENGTH THEORY AND APPLICATIONS, MIT PRESS, Whistler, CANADA, pp. 355 - 384, presented at Workshop on Advances in Minimum Description Length - Theory and Applications, Whistler, CANADA, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000231442700014&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

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