Validating a High Level Behavioral Representation Language (HERBAL): A Docking Study for ACT-R. - Changkun Zhao; Jaehyon Paik; Jonathan H. Morgan; Frank E. Ritter (BICA, 2010)

Modeling Surgical Skill Learning with Cognitive Simulation. - Shi-Hyun Park; Irene H. Suh; Jung-hung Chien; Jaehyon Paik; Frank E. Ritter; Dmitry Oleynikov; Ka-Chun Siu (MMVR, 2011)

Cognitive Biases in a Geospatial Intelligence Analysis Task: An ACT-R Model. - Jaehyon Paik; Peter Pirolli; Christian Lebiere; Matthew Rutledge-Taylor (CogSci, 2012)

A Functional Model of Sensemaking in a Neurocognitive Architecture. - Christian Lebiere; Peter Pirolli; Robert Thomson 001; Jaehyon Paik; Matthew Rutledge-Taylor; James Staszewski; John R. Anderson (Comput. Intell. Neurosci., 2013)

Reinforcement learning and instance-based learning approaches to modeling human decision making in a prognostic foraging task. - Suhas E. Chelian; Jaehyon Paik; Peter Pirolli; Christian Lebiere; Rajan Bhattacharyya (ICDL-EPIROB, 2015)

ACT-R models of information foraging in geospatial intelligence tasks. - Jaehyon Paik; Peter Pirolli (Comput. Math. Organ. Theory, 2015)

Predicting User Performance and Learning in Human-Computer Interaction with the Herbal Compiler. - Jaehyon Paik; Jong Wook Kim; Frank E. Ritter; David Reitter (ACM Trans. Comput. Hum. Interact., 2015)

Reinforcement Learning and Counterfactual Reasoning Explain Adaptive Behavior in a Changing Environment. - Yunfeng Zhang; Jaehyon Paik; Peter Pirolli (Top. Cogn. Sci., 2015)