George Kachergis
George Kachergis
Research Scientist, Stanford University
Verified email at - Homepage
Cited by
Cited by
An associative model of adaptive inference for learning word–referent mappings
G Kachergis, C Yu, RM Shiffrin
Psychonomic bulletin & review 19, 317-324, 2012
Frequency and contextual diversity effects in cross-situational word learning
G Kachergis, R Shiffrin, C Yu
Proceedings of the annual meeting of the cognitive science society 31 (31), 2009
Actively learning object names across ambiguous situations
G Kachergis, C Yu, RM Shiffrin
Topics in Cognitive Science 5 (1), 200-213, 2013
A bootstrapping model of frequency and context effects in word learning
G Kachergis, C Yu, RM Shiffrin
Cognitive science 41 (3), 590-622, 2017
Toward a scalable holographic word-form representation
GE Cox, G Kachergis, G Recchia, MN Jones
Behavior research methods 43, 602-615, 2011
Desirable difficulties during the development of active inquiry skills
G Kachergis, M Rhodes, T Gureckis
Cognition 166, 407-417, 2017
Anthropomorphization of artificial agents leads to fair and strategic, but not altruistic behavior
R De Kleijn, L van Es, G Kachergis, B Hommel
International Journal of Human-Computer Studies 122, 168-173, 2019
A continuous-time neural model for sequential action
G Kachergis, D Wyatte, RC O'Reilly, R de Kleijn, B Hommel
Philosophical Transactions of the Royal Society B: Biological Sciences 369 …, 2014
Temporal contiguity in cross-situational statistical learning
G Kachergis, R Shiffrin, C Yu
Proceedings of the Annual Meeting of the Cognitive Science Society 31 (31), 2009
Gaussian Process Regression for Trajectory Analysis
GE Cox, G Kachergis, RM Shiffrin
34th Annual Conference of the Cognitive Science Society, 2012
Cross-situational word learning is better modeled by associations than hypotheses
G Kachergis, C Yu, RM Shiffrin
2012 ieee international conference on development and learning and …, 2012
Cross-situational word learning is both implicit and strategic
G Kachergis, C Yu, RM Shiffrin
Frontiers in Psychology 5, 588, 2014
Everyday robotic action: lessons from human action control
R De Kleijn, G Kachergis, B Hommel
Frontiers in Neurorobotics 8, 13, 2014
Toward a “standard model” of early language learning
G Kachergis, VA Marchman, MC Frank
Current Directions in Psychological Science 31 (1), 20-27, 2022
The theory of localist representation and of a purely abstract cognitive system: the evidence from cortical columns, category cells, and multisensory neurons
A Roy
Frontiers in psychology 8, 186, 2017
Cross-Situational Statistical Learning: Implicit or Intentional?
G Kachergis, C Yu, RM Shiffrin
Proceedings of the 32nd Annual Conference of the Cognitive Science Society …, 2010
Learning Nouns with Domain-General Associative Learning Mechanisms
G Kachergis
34th Annual Conference of the Cognitive Science Society, 2012
What counts as an exemplar model, anyway? A commentary on Ambridge (2020)
K Mahowald, G Kachergis, MC Frank
First Language 40 (5-6), 608-611, 2020
Detecting social information in a dense database of infants' natural visual experience.
B Long, G Kachergis, K Agrawal, MC Frank
CogSci, 2020
The mafiascum dataset: A large text corpus for deception detection
B de Ruiter, G Kachergis
arXiv preprint arXiv:1811.07851, 2018
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