Joseph L. Austerweil

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 30

Top Topics

Semantic Network

Bayesian Estimation

Cooperative Game

Cognitive Impairment

Top Venues

Publications

George Kachergis, Joseph L. Austerweil
Video games as a path to a contextualized cognitive science, or How to move beyond 20 questions with nature. CogSci (2023)
Jeffrey C. Zemla, Blake H. Chambers, Joseph L. Austerweil, Andrei Cimpian
Inherence bias in explanation increases with age and cognitive impairment. CogSci (2021)
Yun-Shiuan Chuang, Xuezhou Zhang, Yuzhe Ma, Mark K. Ho, Joseph L. Austerweil, Jerry Zhu
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners. CogSci (2021)
Bertram F. Malle, Joseph L. Austerweil, Vivienne Bihe Chi, Yoed N. Kenett, Emorie D. Beck, Stuti Thapa Magar, Mowafak Allaham
Cognitive Properties of Norm Representations. CogSci (2021)
Anantha Rao, Joseph L. Austerweil
Interactions Between Categorization and Intuitive Physics. CogSci (2020)
Yun-Shiuan Chuang, Edward Hubbard, Joseph L. Austerweil
The "Fraction Sense" Emerges from a Deep Convolutional Neural Network. CogSci (2020)
Yun-Shiuan Chuang, Xuezhou Zhang, Yuzhe Ma, Mark K. Ho, Joseph L. Austerweil, Xiaojin Zhu
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners. CoRR (2020)
Michael Payton, Jeffrey C. Zemla, Joseph L. Austerweil
Subjective Randomness in a Non-cooperative Game. CogSci (2019)
Joseph L. Austerweil, Sophia Sanborn, Thomas L. Griffiths
Learning How to Generalize. Cogn. Sci. 43 (8) (2019)
Jeffrey C. Zemla, Joseph L. Austerweil
Analyzing Knowledge Retrieval Impairments Associated with Alzheimer's Disease Using Network Analyses. Complex. 2019 (2019)
Shi Xian Liew, Joseph L. Austerweil
Novel categories are distinct from "Not"-categories. CogSci (2019)
Mohsen Afrasiabi, Mark G. Orr, Joseph L. Austerweil
Evaluating Theories of Collaborative Cognition Using the Hawkes Process and a Large Naturalistic Data Set. CogSci (2019)
Jacqueline Erens, Joseph L. Austerweil
Bayesian Generalization of Emojis. CogSci (2018)
Mark K. Ho, Michael L. Littman, Fiery Cushman, Joseph L. Austerweil
Effectively Learning from Pedagogical Demonstrations. CogSci (2018)
Aaron Cochrane, Joseph L. Austerweil, Vanessa R. Simmering, C. Shawn Green
Rapid Learning in Early Attentional Processing: Bayesian Estimation of Trial-by-Trial Updating. CogSci (2018)
Kendra Lange, Elise Hopman, Elizabeth Pettit, Anantha Rao, Nicole M. Beckage, Jeffrey C. Zemla, Joseph L. Austerweil
Possible Mechanisms of Bilingual Advantage on Creativity. CogSci (2018)
Mohammad Isyroqi Fathan, Eli K. Renfro, Joseph L. Austerweil, Nicole M. Beckage
Do Humans Navigate via Random Walks? Modeling Navigation in a Semantic Word Game. CogSci (2018)
Elise Hopman, Bill Thompson, Joseph L. Austerweil, Gary Lupyan
Predictors of L2 word learning accuracy: A big data investigation. CogSci (2018)
Jie Ren, Joseph L. Austerweil
Interpreting Asymmetric Perception in Speech Perception with Bayesian Inference. CogSci (2017)
Jeffrey C. Zemla, Joseph L. Austerweil
Modeling Semantic Fluency Data as Search on a Semantic Network. CogSci (2017)
Vasanth Sarathy, Matthias Scheutz, Yoed N. Kenett, Mowafak Allaham, Joseph L. Austerweil, Bertram F. Malle
Mental Representations and Computational Modeling of Context-Specific Human Norm Systems. CogSci (2017)
Mark K. Ho, Michael L. Littman, Joseph L. Austerweil
Teaching by Intervention: Working Backwards, Undoing Mistakes, or Correcting Mistakes? CogSci (2017)
Nolan Conaway, Joseph L. Austerweil
PACKER: An Exemplar Model of Category Generation. CogSci (2017)
Emily Cibelli, Yang Xu, Joseph L. Austerweil, Thomas L. Griffiths, Terry Regier
The Sapir-Whorf Hypothesis and Probabilistic Inference: Evidence from the Domain of Color. CogSci (2016)
Mark K. Ho, James MacGlashan, Amy Greenwald, Michael L. Littman, Elizabeth Hilliard, Carl Trimbach, Stephen Brawner, Josh Tenenbaum, Max Kleiman-Weiner, Joseph L. Austerweil
Feature-based Joint Planning and Norm Learning in Collaborative Games. CogSci (2016)
Yoed N. Kenett, Joseph L. Austerweil
Examining Search Processes in Low and High Creative Individuals with Random Walks. CogSci (2016)
Jeffrey C. Zemla, Yoed N. Kenett, Kwang-Sung Jun, Joseph L. Austerweil
U-INVITE: Estimating Individual Semantic Networks from Fluency Data. CogSci (2016)
Brian Montambault, Christopher Lucas, Joseph L. Austerweil
The construction of function representations. CogSci (2016)
Mark K. Ho, Michael L. Littman, James MacGlashan, Fiery Cushman, Joseph L. Austerweil
Showing versus doing: Teaching by demonstration. NIPS (2016)
Max Kleiman-Weiner, Mark K. Ho, Joseph L. Austerweil, Michael L. Littman, Josh Tenenbaum
Coordinate to cooperate or compete: Abstract goals and joint intentions in social interaction. CogSci (2016)
Ting Qian, Joseph L. Austerweil
Learning Additive and Substitutive Features. CogSci (2015)
Mark K. Ho, Michael L. Littman, Fiery Cushman, Joseph L. Austerweil
Teaching with Rewards and Punishments: Reinforcement or Communication? CogSci (2015)
Joseph L. Austerweil
Testing the psychological validity of cluster construction biases. CogSci (2014)
Yangqing Jia, Joshua T. Abbott, Joseph L. Austerweil, Thomas L. Griffiths, Trevor Darrell
Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies. NIPS (2013)
Joshua T. Abbott, Joseph L. Austerweil, Thomas L. Griffiths
Human memory search as a random walk in a semantic network. NIPS (2012)
Joshua T. Abbott, Joseph L. Austerweil, Thomas L. Griffiths
Constructing a hypothesis space from the Web for large-scale Bayesian word learning. CogSci (2012)
Thomas L. Griffiths, Joseph L. Austerweil, Vincent G. Berthiaume
Comparing the inductive biases of simple neural networks and Bayesian models. CogSci (2012)
Joseph L. Austerweil, Thomas L. Griffiths
Seeking Confirmation Is Rational for Deterministic Hypotheses. Cogn. Sci. 35 (3) (2011)
Joseph L. Austerweil, Thomas L. Griffiths, Todd M. Gureckis, Robert L. Goldstone, Kevin Robert Canini, Matt Jones
Grow your own representations: Computational constructivism. CogSci (2011)
Joseph L. Austerweil, Abram L. Friesen, Thomas L. Griffiths
An ideal observer model for identifying the reference frame of objects. NIPS (2011)
Joseph L. Austerweil, Thomas L. Griffiths
Learning invariant features using the Transformed Indian Buffet Process. NIPS (2010)
Joseph L. Austerweil, Thomas L. Griffiths
Analyzing human feature learning as nonparametric Bayesian inference. NIPS (2008)
Micha Elsner, Joseph L. Austerweil, Eugene Charniak
A Unified Local and Global Model for Discourse Coherence. HLT-NAACL (2007)
Eugene Charniak, Mark Johnson, Micha Elsner, Joseph L. Austerweil, David A. Ellis, Isaac Haxton, Catherine Hill, R. Shrivaths, Jeremy Moore, Michael Pozar, Theresa Vu
Multilevel Coarse-to-Fine PCFG Parsing. HLT-NAACL (2006)