Simulated Evolution of Language: a Review of the Field. - Amy Perfors (J. Artif. Soc. Soc. Simul., 2002)

Indirect Evidence and the Poverty of the Stimulus: The Case of Anaphoric One. - Stephani Foraker; Terry Regier; Naveen Khetarpal; Amy Perfors; Joshua B. Tenenbaum (Cogn. Sci., 2009)

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

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)

Memory limitations alone do not lead to over-regularization: An experimental and computational investigation. - Amy Perfors (CogSci, 2011)

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

Learning individual words and learning about words simultaneously. - Sylvia Yuan; Amy Perfors; Josh Tenenbaum 001; Fei Xu (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)

Probability matching vs over-regularization in language: Participant behavior depends on their interpretation of the task. - Amy Perfors (CogSci, 2012)

Musicians are better at learning non-native sound contrasts even in non-tonal languages. - Amy Perfors; Jia Hoong Ong (CogSci, 2012)

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

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)

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)

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

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)

Human decision making in black swan situations. - Amy Perfors; Nicholas T. Van Dam (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)

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)

The impact of frequency on the evolution of category systems. - Vanessa Ferdinand; Charles Kemp; Amy Perfors (CogSci, 2019)

Modeling individual performance in cross-situational word learning. - Yung Han Khoe; Amy Perfors; Andrew Hendrickson (CogSci, 2019)

Generic noun phrases in child speech. - Samarth Mehrotra; Amy Perfors (CogSci, 2019)

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

Exploring the role that encoding and retrieval play in sampling effects. - Keith Ransom; Amy Perfors (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)

The evolution of category systems within and between learners. - Vanessa Ferdinand; Amy Perfors (CogSci, 2020)

Health beliefs and decision making. - Micah B. Goldwater; Amy Perfors; Zachary Horne; Cristine H. Legare; Ellen M. Markman (CogSci, 2020)

What interventions can decrease or increase belief polarisation in a population of rational agents? - Piers Douglas Lionel Howe; Andrew Perfors; Keith James Ransom (CogSci, 2021)

How effective is perceptual training? Evaluating two perceptual training methods on a difficult visual categorisation task. - Jessica Marris; Andrew Perfors; David Mitchell; Wayland Wang; Mark W. McCusker; Timothy John Haynes Lovell; Robert N. Gibson; Frank Gaillard; Piers Douglas Lionel Howe (CogSci, 2021)

Social meta-inference and the evidentiary value of consensus. - Keith J. Ransom; Andrew Perfors; Rachel Stephens (CogSci, 2021)

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)

Socially Situated Transmission: The Bias to Transmit Negative Information is Moderated by the Social Context. - Nicolas Fay; Bradley Walker; Yoshihisa Kashima; Andrew Perfors (Cogn. Sci., 2021)

Source independence affects argument persuasiveness when the relevance is clear. - Manikya Alister; Keith James Ransom; Andrew Perfors (CogSci, 2022)

Human-like property induction is a challenge for large language models. - Simon Jerome Han; Keith James Ransom; Andrew Perfors; Charles Kemp (CogSci, 2022)

Core words in semantic representation. - Andrew Wang; Simon De Deyne; Meredith McKague; Andrew Perfors (CogSci, 2022)

Category Clustering and Morphological Learning. - John Mansfield; Carmen Saldana; Peter Hurst; Rachel Nordlinger; Sabine Stoll; Balthasar Bickel; Andrew Perfors (Cogn. Sci., 2022)

The Role of Stimulus-Specific Perceptual Fluency in Statistical Learning. - Andrew Perfors; Evan Kidd (Cogn. Sci., 2022)

Inferring the truth from deception: What can people learn from helpful and unhelpful information providers? - Manikya Alister; Keith James Ransom; Andrew Perfors (CogSci, 2023)

Common words, uncommon meanings: Evidence for widespread gender differences in word meaning. - Simon De Deyne; Sophie Warner; Andrew Perfors (CogSci, 2023)

Self-Censorship Appears to be an Effective Way of Reducing the Spread of Misinformation on Social Media. - Piers Howe; Andrew Perfors; Keith James Ransom; Bradley Walker; Nicolas Fay; Yoshihisa Kashima; Morgan Saletta (CogSci, 2023)

Testing the Effectiveness of Augmenting Perceptual Training With Annotations and Steps in a Difficult Visual Discrimination Task. - Jessica Marris; Andrew Perfors; Robert N. Gibson; Frank Gaillard; Piers Howe (CogSci, 2023)

Online communication to the ingroup and the outgroup: the role of identity in the "what" and "why" of information sharing. - Viola Pucci; Yoshihisa Kashima; Andrew Perfors (CogSci, 2023)

Word Prediction in Context: An Empirical Investigation of Core Vocabulary. - Andrew Wang; Simon De Deyne; Meredith McKague; Andrew Perfors (CogSci, 2023)

Inductive reasoning in humans and large language models. - Simon Jerome Han; Keith J. Ransom; Andrew Perfors; Charles Kemp (Cogn. Syst. Res., 2024)