Towards a transformational approach to perceptual organization. - Douglas Vickers; Daniel J. Navarro; Michael D. Lee 001 (KES, 2000)

Combining Dimensions and Features in Similarity-Based Representations. - Daniel J. Navarro; Michael D. Lee 001 (NIPS, 2002)

An MCMC-Based Method of Comparing Connectionist Models in Cognitive Science. - Woojae Kim; Daniel J. Navarro; Mark A. Pitt; In Jae Myung (NIPS, 2003)

A Note on the Applied Use of MDL Approximations. - Daniel J. Navarro (Neural Comput., 2004)

Model selection in cognitive science as an inverse problem. - Jay I. Myung; Mark A. Pitt; Daniel J. Navarro (Computational Imaging, 2005)

An application of minimum description length clustering to partitioning learning curves. - Daniel J. Navarro; Michael D. Lee 001 (ISIT, 2005)

A Bayesian Approach to Diffusion Models of Decision-Making and Response Time. - Michael D. Lee 001; Ian G. Fuss; Daniel J. Navarro (NIPS, 2006)

A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments. - Daniel J. Navarro; Thomas L. Griffiths 001 (NIPS, 2006)

Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach. - Daniel J. Navarro; Thomas L. Griffiths 001 (Neural Comput., 2008)

Why are some word orders more common than others? A uniform information density account. - Luke Maurits; Daniel J. Navarro; Amy Perfors (NIPS, 2010)

Learning the context of a category. - Daniel J. Navarro (NIPS, 2010)

Minimal Paths in the City Block: Human Performance on Euclidean and Non-Euclidean Traveling Salesperson Problems. - Amy L. Walwyn; Daniel J. Navarro (J. Probl. Solving, 2010)

Does anchoring cause overconfidence only in experts? - Belinda Bruza; Matthew Brian Welsh; Daniel J. Navarro; Steve Begg (CogSci, 2011)

Graded structure in adjective categories. - Simon De Deyne; Wouter Voorspoels; Steven Verheyen; Daniel J. Navarro; Gert Storms (CogSci, 2011)

Humans use different statistics for sequence analysis depending on the task. - Dinis Gökaydin; Anna Ma-Wyatt; Daniel J. Navarro; Amy Perfors (CogSci, 2011)

To catch a liar: The effects of truthful and deceptive testimony on inferential learning. - Robert Montague; Daniel J. Navarro; Amy Perfors; Russell Warner; Patrick Shafto (CogSci, 2011)

Language evolution is shaped by the structure of the world: An iterated learning analysis. - Amy Perfors; Daniel J. Navarro (CogSci, 2011)

Number Preference, Precision and Implicit Confidence. - Matthew Brian Welsh; Daniel J. Navarro; Steve Begg (CogSci, 2011)

Strong structure in weak semantic similarity: A graph based account. - Simon De Deyne; Daniel J. Navarro; Amy Perfors; Gert Storms (CogSci, 2012)

Anticipating changes: Adaptation and extrapolation in category learning. - Daniel J. Navarro; Amy Perfors (CogSci, 2012)

Sampling Assumptions in Inductive Generalization. - Daniel J. Navarro; Matthew J. Dry; Michael D. Lee 001 (Cogn. Sci., 2012)

An assessment of email and spontaneous dialog visualizations. - Marcus A. Butavicius; Michael D. Lee 001; Brandon M. Pincombe; Louise G. Mullen; Daniel J. Navarro; Kathryn Parsons; Agata McCormac (Int. J. Hum. Comput. Stud., 2012)

Associative strength and semantic activation in the mental lexicon: evidence from continued word associations. - Simon De Deyne; Daniel J. Navarro; Gert Storms (CogSci, 2013)

Finding hidden types: Inductive inference in long-tailed environments. - Daniel J. Navarro (CogSci, 2013)

The role of sampling assumptions in generalization with multiple categories. - Wai Keen Vong; Andrew Hendrickson; Amy Perfors; Daniel J. Navarro (CogSci, 2013)

Open Parallel Cooperative and Competitive Decision Processes: A Potential Provenance for Quantum Probability Decision Models. - Ian G. Fuss; Daniel J. Navarro (Top. Cogn. Sci., 2013)

Adaptive information source selection during hypothesis testing. - Andrew Hendrickson; Amy Perfors; Daniel J. Navarro (CogSci, 2014)

People are sensitive to hypothesis sparsity during category discrimination. - Steven Langsford; Andrew Hendrickson; Amy Perfors; Daniel J. Navarro (CogSci, 2014)

Information versus reward in a changing world. - Daniel J. Navarro; Ben R. Newell (CogSci, 2014)

People ignore token frequency when deciding how widely to generalize. - Amy Perfors; Keith Ransom; Daniel J. Navarro (CogSci, 2014)

Inferring the hypothesis spaces underlying inductive generalization. - Sean Tauber; Daniel J. Navarro; Amy Perfors; Michael D. Lee 001 (CogSci, 2014)

The relevance of labels in semi-supervised learning depends on category structure. - Wai Keen Vong; Amy Perfors; Daniel J. Navarro (CogSci, 2014)

Language Evolution Can Be Shaped by the Structure of the World. - Amy Perfors; Daniel J. Navarro (Cogn. Sci., 2014)

Evidence for widespread thematic structure in the mental lexicon. - Simon De Deyne; Steven Verheyen; Amy Perfors; Daniel J. Navarro (CogSci, 2015)

Quantifying the time course of similarity. - Andrew Hendrickson; Daniel J. Navarro; Christopher Donkin (CogSci, 2015)

Sensitivity to communicative norms when deceiving without lying. - Keith Ransom; Wouter Voorspoels; Amy Perfors; Daniel J. Navarro (CogSci, 2015)

Gricean maxims influence inductive inference with negative observations. - Wouter Voorspoels; Daniel J. Navarro; Amy Perfors; Keith Ransom (CogSci, 2015)

Do additional features help or harm during category learning? An exploration of the curse of dimensionality in human learners. - Wai Keen Vong; Andrew Hendrickson; Amy Perfors; Daniel J. Navarro (CogSci, 2016)

A Tale of Two Disasters: Biases in Risk Communication. - Matthew Brian Welsh; Sandy Steacy; Steve Begg; Daniel J. Navarro (CogSci, 2016)

Leaping to Conclusions: Why Premise Relevance Affects Argument Strength. - Keith Ransom; Amy Perfors; Daniel J. Navarro (Cogn. Sci., 2016)

Sampling frames, Bayesian inference and inductive reasoning. - Brett K. Hayes; Stephanie Banner; Daniel J. Navarro (CogSci, 2017)

Priors, informative cues and ambiguity aversion. - Lauren Kennedy; Amy Perfors; Daniel J. Navarro (CogSci, 2017)

When do learned transformations influence similarity and categorization? - Steven Langsford; Andrew Hendrickson; Amy Perfors; Daniel J. Navarro (CogSci, 2017)

When extremists win: On the behavior of iterated learning chains when priors are heterogeneous. - Daniel J. Navarro; Amy Perfors; Arthur Kary; Scott Brown; Christopher Donkin (CogSci, 2017)

A cognitive analysis of deception without lying. - Keith Ransom; Wouter Voorspoels; Amy Perfors; Daniel J. Navarro (CogSci, 2017)

Predicting Human Similarity Judgments with Distributional Models: The Value of Word Associations. - Simon De Deyne; Amy Perfors; Daniel J. Navarro (IJCAI, 2017)

Learning word meaning with little means: An investigation into the inferential capacity of paradigmatic information. - Simon De Deyne; Amy Perfors; Danielle J. Navarro (CogSci, 2018)

Skilled Bandits: Learning to Choose in a Reactive World. - Jared M. Hotaling; Danielle J. Navarro; Ben R. Newell (CogSci, 2018)

Stronger evidence isn't always better: A role for social inference in evidence selection and interpretation. - Amy Perfors; Danielle J. Navarro; Patrick Shafto (CogSci, 2018)

Representational and sampling assumptions drive individual differences in single category generalisation. - Keith Ransom; Andrew Hendrickson; Amy Perfors; Danielle J. Navarro (CogSci, 2018)

Adding types, but not tokens, affects the breadth of property induction. - Belinda Xie; Brett K. Hayes; Danielle J. Navarro (CogSci, 2018)

When Extremists Win: Cultural Transmission Via Iterated Learning When Populations Are Heterogeneous. - Danielle J. Navarro; Amy Perfors; Arthur Kary; Scott D. Brown; Christopher Donkin (Cogn. Sci., 2018)

Why do echo chambers form? The role of trust, population heterogeneity, and objective truth. - Amy Perfors; Danielle J. Navarro (CogSci, 2019)

Do Additional Features Help or Hurt Category Learning? The Curse of Dimensionality in Human Learners. - Wai Keen Vong; Andrew T. Hendrickson; Danielle J. Navarro; Amy Perfors (Cogn. Sci., 2019)

Do you want to know a secret? The role of valence and delay in early information preference. - Jake Embrey; Shi Xian Liew; Danielle J. Navarro; Ben R. Newell (CogSci, 2020)

Adding Types, But Not Tokens, Affects Property Induction. - Belinda Xie; Danielle J. Navarro; Brett K. Hayes (Cogn. Sci., 2020)

Visual and Affective Multimodal Models of Word Meaning in Language and Mind. - Simon De Deyne; Danielle J. Navarro; Guillem Collell; Andrew Perfors (Cogn. Sci., 2021)