Danielle J. Navarro

Orcid: 0000-0001-7648-6578

Affiliations:
  • University of New South Wales, School of Psychology, Australia
  • University of Adelaide, School of Psychology, Australia (former)


According to our database1, Danielle J. Navarro authored at least 57 papers between 2000 and 2021.

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Bibliography

2021
Visual and Affective Multimodal Models of Word Meaning in Language and Mind.
Cogn. Sci., 2021

2020
Adding Types, But Not Tokens, Affects Property Induction.
Cogn. Sci., 2020

Do you want to know a secret? The role of valence and delay in early information preference.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
Do Additional Features Help or Hurt Category Learning? The Curse of Dimensionality in Human Learners.
Cogn. Sci., 2019

Why do echo chambers form? The role of trust, population heterogeneity, and objective truth.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
When Extremists Win: Cultural Transmission Via Iterated Learning When Populations Are Heterogeneous.
Cogn. Sci., 2018

Adding types, but not tokens, affects the breadth of property induction.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Representational and sampling assumptions drive individual differences in single category generalisation.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Stronger evidence isn't always better: A role for social inference in evidence selection and interpretation.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Skilled Bandits: Learning to Choose in a Reactive World.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Learning word meaning with little means: An investigation into the inferential capacity of paradigmatic information.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
Predicting Human Similarity Judgments with Distributional Models: The Value of Word Associations.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A cognitive analysis of deception without lying.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

When extremists win: On the behavior of iterated learning chains when priors are heterogeneous.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

When do learned transformations influence similarity and categorization?
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Priors, informative cues and ambiguity aversion.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Sampling frames, Bayesian inference and inductive reasoning.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016
Leaping to Conclusions: Why Premise Relevance Affects Argument Strength.
Cogn. Sci., 2016

A Tale of Two Disasters: Biases in Risk Communication.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Do additional features help or harm during category learning? An exploration of the curse of dimensionality in human learners.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015
Gricean maxims influence inductive inference with negative observations.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Sensitivity to communicative norms when deceiving without lying.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Quantifying the time course of similarity.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Evidence for widespread thematic structure in the mental lexicon.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Language Evolution Can Be Shaped by the Structure of the World.
Cogn. Sci., 2014

The relevance of labels in semi-supervised learning depends on category structure.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Inferring the hypothesis spaces underlying inductive generalization.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

People ignore token frequency when deciding how widely to generalize.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Information versus reward in a changing world.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

People are sensitive to hypothesis sparsity during category discrimination.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Adaptive information source selection during hypothesis testing.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
Open Parallel Cooperative and Competitive Decision Processes: A Potential Provenance for Quantum Probability Decision Models.
Top. Cogn. Sci., 2013

The role of sampling assumptions in generalization with multiple categories.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Finding hidden types: Inductive inference in long-tailed environments.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Associative strength and semantic activation in the mental lexicon: evidence from continued word associations.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012
An assessment of email and spontaneous dialog visualizations.
Int. J. Hum. Comput. Stud., 2012

Sampling Assumptions in Inductive Generalization.
Cogn. Sci., 2012

Anticipating changes: Adaptation and extrapolation in category learning.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Strong structure in weak semantic similarity: A graph based account.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011
Number Preference, Precision and Implicit Confidence.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Language evolution is shaped by the structure of the world: An iterated learning analysis.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

To catch a liar: The effects of truthful and deceptive testimony on inferential learning.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Humans use different statistics for sequence analysis depending on the task.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Graded structure in adjective categories.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Does anchoring cause overconfidence only in experts?
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010
Minimal Paths in the City Block: Human Performance on Euclidean and Non-Euclidean Traveling Salesperson Problems.
J. Probl. Solving, 2010

Learning the context of a category.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Why are some word orders more common than others? A uniform information density account.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2008
Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach.
Neural Comput., 2008

2006
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

A Bayesian Approach to Diffusion Models of Decision-Making and Response Time.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005
An application of minimum description length clustering to partitioning learning curves.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

Model selection in cognitive science as an inverse problem.
Proceedings of the Computational Imaging III, San Jose, 2005

2004
A Note on the Applied Use of MDL Approximations.
Neural Comput., 2004

2003
An MCMC-Based Method of Comparing Connectionist Models in Cognitive Science.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Combining Dimensions and Features in Similarity-Based Representations.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2000
Towards a transformational approach to perceptual organization.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000


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