Joseph Austerweil
Title
Cited by
Cited by
Year
Random Walks on Semantic Networks Can Resemble Optimal Foraging.
JT Abbott, JL Austerweil, TL Griffiths
Psychological Review 122 (3), 558-559, 2015
1132015
Coordinate to cooperate or compete: abstract goals and joint intentions in social interaction
M Kleiman-Weiner, MK Ho, JL Austerweil, ML Littman, JB Tenenbaum
COGSCI, 2016
1122016
A unified local and global model for discourse coherence
M Elsner, J Austerweil, E Charniak
Human Language Technologies 2007: The Conference of the North American …, 2007
822007
Multilevel coarse-to-fine PCFG parsing
E Charniak, M Johnson, M Elsner, J Austerweil, D Ellis, I Haxton, C Hill, ...
Proceedings of the Human Language Technology Conference of the NAACL, Main …, 2006
782006
Seeking Confirmation Is Rational for Deterministic Hypotheses
JL Austerweil, TL Griffiths
Cognitive Science 35, 499-526, 2011
742011
The Sapir-Whorf hypothesis and probabilistic inference: Evidence from the domain of color
E Cibelli, Y Xu, JL Austerweil, TL Griffiths, T Regier
PloS one 11 (7), e0158725, 2016
652016
The Sapir-Whorf Hypothesis and Probabilistic Inference: Evidence from the Domain of Color
E Cibelli, Y Xu, JL Austerweil, TL Griffiths, T Regier
PLOS ONE 11 (7), e0158725, 2016
652016
Showing versus doing: Teaching by demonstration
MK Ho, M Littman, J MacGlashan, F Cushman, JL Austerweil
Advances In Neural Information Processing Systems, 3027-3035, 2016
642016
Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies
Y Jia, J Abbott, J Austerweil, T Griffiths, T Darrell
NIPS, 2013
592013
Analyzing the history of Cognition using topic models
UC Priva, JL Austerweil
Cognition 135, 4-9, 2015
542015
Human memory search as a random walk in a semantic network
JT Abbott, JL Austerweil, TL Griffiths
Advances in Neural Information Processing Systems (Vol. 25), 2012
54*2012
Networks of Social and Moral Norms in Human and Robot Agents
BF Malle, M Scheutz, JL Austerweil
A World with Robots, 3-17, 2017
482017
New perspectives on the aging lexicon
DU Wulff, S De Deyne, MN Jones, R Mata, Aging Lexicon Consortium
Trends in cognitive sciences 23 (8), 686-698, 2019
462019
A nonparametric Bayesian framework for constructing flexible feature representations.
JL Austerweil, TL Griffiths
Psychological Review 120 (4), 817-851, 2013
402013
Feature-based Joint Planning and Norm Learning in Collaborative Games
MK Ho, J MacGlashan, A Greenwald, ML Littman, EM Hilliard, C Trimbach, ...
Annual Conference of the Cognitive Science Society, 2016
382016
Structure and flexibility in Bayesian models of cognition
JL Austerweil, SJ Gershman, JB Tenenbaum, TL Griffiths
Oxford Handbook of Computational and Mathematical Psychology. Oxford …, 2015
352015
Estimating semantic networks of groups and individuals from fluency data
JC Zemla, JL Austerweil
Computational Brain & Behavior 1 (1), 36-58, 2018
342018
Examining Search Processes in Low and High Creative Individuals with Random Walks
YN Kenett, JL Austerweil
Cognitive Conference Society, 2016
332016
Teaching with Rewards and Punishments: Reinforcement or Communication?
MK Ho, ML Littman, F Cushman, JL Austerweil
Annual Proceedings of the 37th Cognitive Science Society Meeting, 2015
302015
Constructing a hypothesis space from the Web for large-scale Bayesian word learning
JT Abbott, JL Austerweil, TL Griffiths
34th Annual Meeting of the Cognitive Science Society, 2012
262012
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Articles 1–20