Academic
I am interested in understanding the mechanisms of learning, memory, and categorization so that we may model how people represent knowledge. Because I am interested in cross-cutting areas that are often studied separately, my work falls in the various subareas of categorical perception, semantic models, associative learning, language learning, memory, and decision-making. My dissertation focused on the problem of language acquisition: how do learning and memory mechanisms allow us to bootstrap meaning from the statistics of our language environment?
~G.K., 9.9.2012
Brief descriptions and figures
Curriculum Vitae. (9/27/12)
Papers
- Kachergis, G. & Hidaka, S. (in prep). Towards a Cognitive Bayesian Model of Word Learning.
- Kachergis, G., Yu, C. & Shiffrin, R. M. (in prep). Temporal Contiguity Improves Cross-Situational Word Learning.
- Trueblood, J. S., Kachergis, G., & Kruschke, J. K. (in prep). A Cue Imputation Bayesian Model of Information Aggregation.
- Kachergis, G., Yu, C. & Shiffrin, R. M. (submitted). A Bootstrapping Model of Frequency and Contextual Diversity Effects in Word Learning.
- Kachergis, G., Cox, G. E., & Shiffrin, R. M. (2013). The Effects of Repeated Sequential Context on Recognition Memory. Proceedings of the 35th Annual Conference of the Cognitive Science Society. [pdf]
- Kachergis, G. & Yu, C. (2013). More Naturalistic Cross-situational Word Learning. Proceedings of the 35th Annual Conference of the Cognitive Science Society. [pdf]
- Cox, G. E., Kachergis, G., & Shiffrin, R. M. (2013). Similarity and Strategic Effects in Recognition Memory. Proceedings of the 35th Annual Conference of the Cognitive Science Society. [pdf]
- Kievit-Kylar, B., Kachergis, G., & Jones, M. N. (2013). Naturalistic Word-Concept Pair Learning With Semantic Spaces. Proceedings of the 35th Annual Conference of the Cognitive Science Society. [pdf]
- Kachergis, G., Yu, C., & Shiffrin, R. M. (2013). Actively Learning Object Names Across Ambiguous Situations. Topics in Cognitive Science, 5(1), 200-213. [pdf-soon!]
2013
- Kachergis, G. (2012). Mechanisms for Cross-Situational Learning of Word-Referent Mappings: Empirical and Modeling Evidence. Thesis: [pdf], Précis: [pdf]
- Kachergis, G., Yu, C., & Shiffrin, R. M. (2012). Cross-situational Word Learning is Better Modeled by Associations than Hypotheses. IEEE Conference on Development and Learning / EpiRob 2012. 10.1109/DevLrn.2012.6400861 Prize for Best Paper with Experiment Combined with Computational Model [pdf]
- Kachergis, G., Yu, C. & Shiffrin, R. M. (2012). Actively Learning Nouns Across Ambiguous Situations. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 527-532). Austin, TX: Cognitive Science Society. Marr Prize for Best Student Paper [pdf]
- Kachergis, G. (2012). Learning Nouns with Domain-General Associative Learning Mechanisms. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 533-538). Austin, TX: Cognitive Science Society. [pdf]
- Hendrickson, A. T., Kachergis, G., Fausey, C., & Goldstone, R. L. (2012). Re-learning Labeled Categories Reveals Structured Representations. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 1668-1673). Austin, TX: Cognitive Science Society. [pdf]
- Cox, G. E., Kachergis, G., & Shiffrin, R. M. (2012). Gaussian Process Regression for Trajectory Analysis. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 1440-1445). Austin, TX: Cognitive Science Society. [pdf]
- Kachergis, G., Yu, C., & Shiffrin, R. M. (2012). An Associative Model of Adaptive Inference for Learning Word-Referent Mappings. Psychonomic Bulletin & Review, 19(2), 317-324. 10.3758/s13423-011-0194-6 [web] [pdf] [code/appendix] [bib]
2012
- Cox, G. E., Kachergis, G., Recchia, G., & Jones, M. N. (2011). Towards a Scalable Holographic Word-form Representation. Behavior Research Methods, 43(3), 602-615. [pdf]
- Kachergis, G., Recchia, G., & Shiffrin, R. M. (2011). Adaptive Magnitude and Valence Biases in a Dynamic Memory Task. In L. Carlson, C. Hölscher, & T. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society. (pp. 819-824). Austin, TX: Cognitive Science Society. [pdf]
- Kachergis, G., Cox, G. E., & Jones, M. N. (2011). OrBEAGLE: Integrating Orthography into a Holographic Model of the Lexicon. In E. Oja (Ed.), Proceedings of the International Conference on Artificial Neural Networks. Springer: Lecture Notes in Computer Science. [pdf]
- Trueblood, J. S., Kachergis, G., & Kruschke, J. K. (2011). A Cue Imputation Bayesian Model of Information Aggregation. In L. Carlson, C. Hölscher, & T. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 1298-1303). Austin, TX: Cognitive Science Society. [pdf]
2011
- Hendrickson, A. T., Kachergis, G., Gureckis, T. M., & Goldstone, R. L. (2010). Is categorical perception really verbally mediated perception? In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 1216-1221). Austin, TX: Cognitive Science Society. [pdf]
- Gangwani, T., Kachergis, G., & Yu, C. (2010). Simultaneous Cross-situational Learning of Category and Object Names. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 1595-1600). Austin, TX: Cognitive Science Society. [pdf]
- Kachergis, G., Yu, C., & Shiffrin, R. M. (2010). Adaptive Constraints and Inference in Cross-Situational Word Learning. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 2464-2469). Austin, TX: Cognitive Science Society. [pdf]
- Kachergis, G., Yu, C., & Shiffrin, R. M. (2010). Cross-Situational Statistical Learning: Implicit or Intentional? In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 2362-2367). Austin, TX: Cognitive Science Society. [pdf]
2010
- Kachergis, G., Yu, C., & Shiffrin, R. M. (2009). Frequency and Contextual Diversity Effects in Cross-Situational Word Learning. In N. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 2220-2225). Austin, TX: Cognitive Science Society. [pdf]
- Kachergis, G., Yu, C., & Shiffrin, R. M. (2009). Temporal Contiguity in Cross-Situational Statistical Learning. In N. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 1704-1709). Austin, TX: Cognitive Science Society. [pdf]
2009
- Barbella, D., Kachergis, G., Liben-Nowell, D., Sallstrom, A., and Sowell, B. (2007). Depth of Field and Cautious- Greedy Routing in Social Networks. Proceedings of 18th International Symposium on Algorithms and Computation. [pdf]
2007
Presentation PDFs
I will post the most edifying slides. Email me if you'd like particular ones from my C.V.- Kachergis, G., Yu, C., & Shiffrin, R. M. (2011). An Associative Model of Inference in Statistical Learning. 43rd Annual Meeting of the Society for Mathematical Psychology, Portland, OR. [pdf]
Early, Unpublished Work
Lexical Variety in Human Processing of Syntactically Ambiguous Sentences - (2005) Jamie Olson and G.K.
Mechanisms of Optimal Pathfinding in the Ant Tapinoma sessile - The research paper from my research in biology class during my final year (2003) at NCSSM.
