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ORCIDGeorge Kachergis
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2020 – today
- 2023
[j8]Deniz Sen
, Roy De Kleijn, George Kachergis:
Behavioral Optimization in a Robotic Serial Reaching Task Using Predictive Information. IEEE Trans. Cogn. Dev. Syst. 15(3): 1012-1019 (2023)- [j7]George Kachergis, Nathan Francis, Michael C. Frank:
Estimating Demographic Bias on Tests of Children's Early Vocabulary. Top. Cogn. Sci. 15(2): 303-314 (2023) - [c47]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 - [c46]Alvin Wei Ming Tan, George Kachergis, Virginia A. Marchman, Philip S. Dale, Michael C. Frank:
Measuring Children's Early Vocabulary in Low-Resource Languages Using a Swadesh-style Word List. CogSci 2023 - 2022
- [j6]Roy De Kleijn, Deniz Sen, George Kachergis:
A Critical Period for Robust Curriculum-Based Deep Reinforcement Learning of Sequential Action in a Robot Arm. Top. Cogn. Sci. 14(2): 311-326 (2022) - [c45]George Kachergis, Nathan Francis, Michael C. Frank:
Estimating demographic bias on tests of children's early vocabulary. CogSci 2022 - [c44]George Kachergis, Georgia-Rengina Loukatou, Michael C. Frank:
Identifying the distributional sources of children's early vocabulary. CogSci 2022 - 2021
- [c43]George Kachergis, Michael C. Frank:
A large-scale comparison of cross-situational word learning models. CogSci 2021 - [c42]George Kachergis, Samaher Radwan, Bria Long, Judith E. Fan, Michael Lingelbach, Daniel M. Bear, Daniel L. K. Yamins, Michael C. Frank:
Predicting children's and adults' preferences in physical interactions via physics simulation. CogSci 2021 - [c41]Bria Long, George Kachergis, Naiti S. Bhatt, Michael C. Frank:
Characterizing the object categories two children see and interact with in a dense dataset of naturalistic visual experience. CogSci 2021 - [c40]Martin Zettersten, Claire Augusta Bergey, Naiti S. Bhatt, Veronica Boyce, Mika Braginsky, Alexandra Carstensen, Benjamin deMayo, George Kachergis, Molly Lewis, Bria Long, Kyle MacDonald, Jessica Mankewitz, Stephan C. Meylan, Annissa Noor Saleh, Rose M. Schneider, Angeline Sin Mei Tsui, Sarp Uner, Tian (Linger) Xu, Dan Yurovsky, Michael C. Frank:
Peekbank: Exploring children's word recognition through an open, large-scale repository for developmental eye-tracking data. CogSci 2021 - 2020
- [c39]Bria Long, George Kachergis, Ketan Agrawal, Michael C. Frank:
Detecting social information in a dense database of infants' natural visual experience. CogSci 2020
2010 – 2019
- 2019
- [j5]Roy De Kleijn, Lisa van Es, George Kachergis, Bernhard Hommel:
Anthropomorphization of artificial agents leads to fair and strategic, but not altruistic behavior. Int. J. Hum. Comput. Stud. 122: 168-173 (2019) - [c38]Alexandra Carstensen, George Kachergis, Noah Hermalin, Terry Regier:
"Natural concepts" revisited in the spatial-topological domain: Universal tendencies in focal spatial relations. CogSci 2019: 197-203 - [c37]Chris Grimmick, Todd M. Gureckis, George Kachergis:
Evidence of error-driven cross-situational word learning. CogSci 2019: 373-379 - [c36]George Kachergis, Todd M. Gureckis, Marjorie Rhodes:
Exploring informal science interventions to promote children's understanding of natural categories. CogSci 2019: 1978-1983 - [i2]Pierre-Yves Oudeyer, George Kachergis, William Schueller:
Computational and Robotic Models of Early Language Development: A Review. CoRR abs/1903.10246 (2019) - 2018
- [j4]George Kachergis, Chen Yu:
Observing and Modeling Developing Knowledge and Uncertainty During Cross-Situational Word Learning. IEEE Trans. Cogn. Dev. Syst. 10(2): 227-236 (2018) - [c35]Katherine A. Adams, George Kachergis, Hugo Goulart de Lucena:
A Suite of Adaptive Games for Self-Directed Literacy and Numeracy Education. CogSci 2018 - [c34]Roy De Kleijn, George Kachergis, Bernhard Hommel:
IQ and working memory predict plan-based sequential action learning. CogSci 2018 - [c33]Roy De Kleijn, George Kachergis, Bernhard Hommel:
Optimized behavior in a robot model of sequential action. CogSci 2018 - [c32]Anselm Rothe, George Kachergis, Maartje E. J. Raijmakers:
The Development of Deductive Reasoning in Mastermind. CogSci 2018 - [c31]Daniel Kottke, Adrian Calma, Denis Huseljic, Christoph Sandrock, George Kachergis, Bernhard Sick:
The Other Human in The Loop - A Pilot Study to Find Selection Strategies for Active Learning. IJCNN 2018: 1-8 - [i1]Bob de Ruiter, George Kachergis:
The Mafiascum Dataset: A Large Text Corpus for Deception Detection. CoRR abs/1811.07851 (2018) - 2017
- [j3]George Kachergis, Chen Yu, Richard M. Shiffrin:
A Bootstrapping Model of Frequency and Context Effects in Word Learning. Cogn. Sci. 41(3): 590-622 (2017) - [c30]Katherine A. Adams, George Kachergis:
Executive function and attention predict low-income preschoolers' active category learning. CogSci 2017 - [c29]Katherine A. Adams, George Kachergis, Doug Markant:
Children's Familiarity Preference in Self-directed Study Improves Recognition Memory. CogSci 2017 - [c28]Chris Grimmick, George Kachergis, Todd M. Gureckis:
How does of initial inaccuracy benefit cross-situational word learning? CogSci 2017 - [c27]Shohei Hidaka, Takuma Torii, George Kachergis:
Quantifying the impact of active choice in word learning. CogSci 2017 - [c26]Shohei Hidaka, Takuma Torii, George Kachergis:
Leveraging mutual exclusivity for faster cross-situational word learning: A theoretical analysis. CogSci 2017 - 2016
- [c25]George Kachergis, Floris Berends, Roy De Kleijn, Bernhard Hommel:
Human Reinforcement Learning of Sequential Action. CogSci 2016 - [c24]George Kachergis, Roy De Kleijn, Bernhard Hommel:
A Dream Model: Reactivation and Re-encoding Mechanisms for Sleep-dependent Memory Consolidation. CogSci 2016 - [c23]George Kachergis, Marjorie Rhodes, Todd M. Gureckis:
Desirable difficulties in the development of active inquiry skills. CogSci 2016 - [c22]George Kachergis, Shannon Tubridy, Todd M. Gureckis:
Predictable stimulus onsets improve memory. CogSci 2016 - 2015
- [c21]George Kachergis, Marjorie Rhodes, Todd M. Gureckis:
Understanding developmental bottlenecks in active inquiry. CogSci 2015 - 2014
- [j2]Roy De Kleijn, George Kachergis, Bernhard Hommel:
Everyday robotic action: lessons from human action control. Frontiers Neurorobotics 8: 13 (2014) - [c20]George Kachergis, Floris Berends, Roy De Kleijn, Bernhard Hommel:
Trajectory Effects in a Novel Serial Reaction Time Task. CogSci 2014 - [c19]George Kachergis, Chen Yu, Richard M. Shiffrin:
Developing Semantic Knowledge through Cross-situational Word Learning. CogSci 2014 - [c18]George Kachergis, Chen Yu:
Continuous measure of word learning supports associative model. ICDL-EPIROB 2014: 20-25 - [c17]George Kachergis, Roy De Kleijn, Floris Berends, Bernhard Hommel:
Reward effects on sequential action learning in a trajectory serial reaction time task. ICDL-EPIROB 2014: 415-420 - 2013
- [j1]George Kachergis, Chen Yu, Richard M. Shiffrin:
Actively Learning Object Names Across Ambiguous Situations. Top. Cogn. Sci. 5(1): 200-213 (2013) - [c16]Douglas Knox Bemis, Neil Cohn, George Kachergis, Andrew M. Lovett, Robert L. Goldstone:
Glushko Dissertation Prize Symposium. CogSci 2013 - [c15]Gregory E. Cox, George Kachergis, Richard M. Shiffrin:
Similarity and Strategic Effects in Recognition Memory. CogSci 2013 - [c14]George Kachergis, Gregory E. Cox, Richard M. Shiffrin:
The Effects of Repeated Sequential Context on Recognition Memory. CogSci 2013 - [c13]George Kachergis, Chen Yu:
More Naturalistic Cross-situational Word Learning. CogSci 2013 - [c12]Brent Kievit-Kylar, George Kachergis, Michael N. Jones:
Naturalistic Word-Concept Pair Learning With Semantic Spaces. CogSci 2013 - 2012
- [c11]Gregory E. Cox, George Kachergis, Richard M. Shiffrin:
Gaussian Process Regression for Trajectory Analysis. CogSci 2012 - [c10]Andrew Hendrickson, George Kachergis, Caitlin Fausey, Robert L. Goldstone:
Re-learning labeled categories reveals structured representations. CogSci 2012 - [c9]George Kachergis:
Learning Nouns with Domain-General Associative Learning Mechanisms. CogSci 2012 - [c8]George Kachergis, Gregory E. Cox, Richard M. Shiffrin:
Dynamic Effects of Perceptual and Categorical Similarity on Recognition Memory. CogSci 2012 - [c7]George Kachergis, Chen Yu, Richard M. Shiffrin:
Actively Learning Nouns Across Ambiguous Situations. CogSci 2012 - [c6]George Kachergis, Chen Yu, Richard M. Shiffrin:
Cross-situational word learning is better modeled by associations than hypotheses. ICDL-EPIROB 2012: 1-6 - 2011
- [c5]George Kachergis, Gabriel Recchia, Richard M. Shiffrin:
Adaptive Magnitude and Valence Biases in a Dynamic Memory Task. CogSci 2011 - [c4]George Kachergis, Chen Yu, Richard M. Shiffrin:
Active Cross-situational Learning. CogSci 2011 - [c3]Jennifer Trueblood, George Kachergis, John K. Kruschke:
A Cue Imputation Bayesian Model of Information Aggregation. CogSci 2011 - [c2]George Kachergis, Gregory E. Cox, Michael N. Jones:
OrBEAGLE: Integrating Orthography into a Holographic Model of the Lexicon. ICANN (1) 2011: 307-314
2000 – 2009
- 2007
- [c1]David Barbella, George Kachergis, David Liben-Nowell, Anna Sallstrom, Ben Sowell:
Depth of Field and Cautious-Greedy Routing in Social Networks. ISAAC 2007: 574-586
Coauthor Index
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