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REFERENCES

robotics

mobile office robot (with sonar data only)

R. J. Firby and M. G. Slack, “Task Execution: Interfacing Networks to Reactive Skill Networks,” AAAI Tech. Rep. SS-95-02, 1995

robot finding and recognizing people

C. Wong, D. Kortenkamp, and M. Speich, “A Mobile Robot That Recognizes People,” in Proceedings of the Conference on Tools with Artificial Intelligence, 1995

trash-collecting mobile robot

R. J. Firby, R. E. Kahn, P. N. Prokopowicz, and M. J. Swain, “An Architecture for Vision and Action,” in Proceedings of the 14th international joint conference on Artificial intelligence (IJCAI), 1995

control of space shuttle Remote Manipulator System (RMS)

R. P. Bonasso, D. Kortenkamp, and T. Whitney, “Using a robot control architecture to automate space shuttle operations,” in IAAI-97, 1997, pp. 949–962

control of free-flying space camera (has stereo vision for object detection and tracking, can understand simple commands, can be teleoperated)

D. Kortenkamp, “Applying a layered control architecture to a free-flying space camera,” Proc. IEEE Int. Jt. Symp. Intell. Syst., 1998

life-support systems for long-term space missions

D. Kortenkamp, D. Schreckenghost, and R. P. Bonasso, “Three NASA application domains for integrated planning, scheduling and execution,” in IEEE Symposium on Intelligence in Automation and Robotics, 1998

control of free-flying space camera (has stereo vision for object detection and tracking, can understand simple commands, can be teleoperated)

D. Kortenkamp, “Applying a layered control architecture to a free-flying space camera,” Proc. IEEE Int. Jt. Symp. Intell. Syst., 1998

computer vision

robot finding and recognizing people

C. Wong, D. Kortenkamp, and M. Speich, “A Mobile Robot That Recognizes People,” in Proceedings of the Conference on Tools with Artificial Intelligence, 1995

trash-collecting mobile robot

control of free-flying space camera (has stereo vision for object detection and tracking, can understand simple commands, can be teleoperated)

D. Kortenkamp, “Applying a layered control architecture to a free-flying space camera,” Proc. IEEE Int. Jt. Symp. Intell. Syst., 1998

HRI/HCI

robot finding and recognizing people

C. Wong, D. Kortenkamp, and M. Speich, “A Mobile Robot That Recognizes People,” in Proceedings of the Conference on Tools with Artificial Intelligence, 1995

ACT-R

robotics

hide-and-seek model (mobile robot)

J. G. Trafton, L. M. Hiatt, A. M. Harrison, P. Tamborello, S. S. Khemlani, and A. C. Schultz, “ACT-R/E: An Embodied Cognitive Architecture for Human-Robot Interaction,” J. Human-Robot Interact., vol. 2, no. 1, pp. 30–54, 2013

J. G. Trafton and A. M. Harrison, “Embodied Spatial Cognition,” Top. Cogn. Sci., vol. 3, pp. 686–706, 2011

model of resuming after interruption is used in a robot to remind a person if they forgot where they were in the story

model of social dominance based on the chimpanzee observations by Brauer et al.

W. G. Kennedy, M. D. Bugajska, A. M. Harrison, and J. G. Trafton, “‘Like-Me’ Simulation as an Effective and Cognitively Plausible Basis for Social Robotics,” Int. J. Soc. Robot., vol. 1, pp. 181–194, 2009

model of teamwork performance (real/simulation)

W. G. Kennedy, M. D. Bugajska, W. Adams, A. C. Schultz, and J. G. Trafton, “Incorporating Mental Simulation for a More Effective Robotic Teammate,” in Proceedings of the Twenty-Third Conference on Artificial Intelligence, 2008, pp. 1300–1305

W. G. Kennedy and J. G. Trafton, “Using Simulations to Model Shared Mental Models,” in Proceedings of the Eighth International Conference on Cognitive Modeling, 2007

model of perspective taking in a "like-me" task

model of time estimation of how long a task should take (validated on human data), applied to a robot that can comment on whether a person took too long performing a task

W. G. Kennedy and J. G. Trafton, “How long is a moment: The perception and reality of task-related absences,” Int. J. Soc. Robot., vol. 3, no. 3, pp. 243–252, 2011

use model of ToM to improve HRI in a situation where the human acts in an unexpected way and the robot has to simulate their thought process (MDS robot)

psychological experiments

model human data for the psychomotor vigilance task (human data, EEG)

M. M. Walsh, G. Gunzelmann, and J. R. Anderson, “Relationship of P3b single-trial latencies and response times in one, two, and three-stimulus oddball tasks,” Biol. Psychol., vol. 123, pp. 47–61, 2017

G. Gunzelmann, L. R. J. Moore, K. A. Gluck, H. P. A. Van Dongen, and D. F. Dinges, “Individual Differences in Sustained Vigilant Attention: Insights from Computational Cognitive Modeling,” in Proceedings of the Thirtieth Annual Meeting of the Cognitive Science Society, 2008, pp. 2017–2022

model human data for the 3-Stimulus Task (human data, EEG)

model human data Radar Task based on a study by Hitchcock et al. (1999) (human data, EEG)

model human data on procedural errors during the use of kitchen assistant UI

M. Halbrügge, M. Quade, and K.-P. Engelbrecht, “Cognitive Strategies in HCI and Their Implications on User Error,” in Proceedings of the 38th annual meeting of the Cognitive Science ociety, 2016

M. Halbrügge and N. Russwinkel, “The Sum of Two Models: How a Composite Model Explains Unexpected User Behavior in a Dual-Task Scenario,” in Proceedings of the 14th international conference on cognitive modeling, 2016, pp. 137–143

M. Halbrügge, M. Quade, and K.-P. Engelbrecht, “A Predictive Model of Human Error based on User Interface Development Models and a Cognitive Architecture,” in Proceedings of the 13th International Conference on Cognitive Modeling (pp., 2015, pp. 238–243

M. Halbrugge, M. Quade, and K.-P. Engelbrecht, “How can Cognitive Modeling Benefit from Ontologies? Evidence from the HCI Domain,” in Proceedings of the International Conference on Artificial General Intelligence, 2015

A. Serna, H. Pigot, and V. Rialle, “Modeling the progression of Alzheimer’s disease for cognitive assistance in smart homes,” User Model. User-adapt. Interact., vol. 17, no. 4, pp. 415–438, 2007

model human data during multitasking (human data, fMRI)

M. Nijboer, J. Borst, H. Van Rijn, and N. Taatgen, “Contrasting single and multi-component working-memory systems in dual tasking,” Cogn. Psychol., vol. 86, pp. 1–26, 2016

M. Nijboer, J. P. Borst, H. Van Rijn, and N. A. Taatgen, “Predicting Interference in Concurrent Multitasking,” in Proceedings of the 12th International Conference on Cognitive Modeling, 2013

T. D. Kelley and D. R. Scribner, “Developing a Predictive Model of Dual Task Performance,” ARL Tech. Rep. ARL-MR-0556, 2003

model effect of fatigue on dual-task performance using data from Bratzke et al. (2007) (human data)

G. Gunzelmann, A. Force, M. D. Byrne, K. A. Gluck, and A. Force, “Using Computational Cognitive Modeling to Predict Dual-Task Performance With Sleep Deprivation,” vol. 51, no. 2, pp. 251–260, 2009

model of associative recognition experiment (the task is to decide whether a probe of several words matches any previously studied set) (human data, EEG, fMRI)

Q. Zhang, M. M. Walsh, and J. R. Anderson, “The Effects of Probe Similarity on Retrieval and Comparison Processes in Associative Recognition,” J. Cogn. Neurosci., vol. 29, no. 2, pp. 352–367, 2017

J. F. Danker, P. Gunn, and J. R. Anderson, “A Rational Account of Memory Predicts Left Prefrontal Activation during Controlled Retrieval,” Cereb. Cortex, vol. 18, pp. 2674–2685, 2008

J. P. Borst, D. W. Schneider, M. M. Walsh, and J. R. Anderson, “Stages of Processing in Associative Recognition: Evidence from Behavior, EEG, and Classification,” J. Cogn. Neurosci., vol. 25, no. 12, pp. 2151–2166, 2013

M.-H. Sohn, A. Goode, V. A. Stenger, K.-J. Jung, C. S. Carter, and J. R. Anderson, “An information-processing model of three cortical regions: evidence in episodic memory retrieval,” Neuroimage, vol. 25, pp. 21–33, 2005

J. R. Anderson, Q. Zhang, and M. M. Walsh, “The Discovery of Processing Stages: Extension of Sternberg’s Method,” Psychol. Rev., vol. 123, no. 5, pp. 481–509, 2016

J. P. Borst and J. R. Anderson, “The discovery of processing stages: Analyzing EEG data with hidden semi-Markov models,” Neuroimage, vol. 108, pp. 60–73, 2015

D. W. Schneider and J. R. Anderson, “Modeling fan effects on the time course of associative recognition,” Cogn. Psychol., vol. 64, no. 3, pp. 127–160, 2012

model human EEG data for Sternberg's working memory task (data from Jacobs et al., 2006)

J. R. Anderson, Q. Zhang, and M. M. Walsh, “The Discovery of Processing Stages: Extension of Sternberg’s Method,” Psychol. Rev., vol. 123, no. 5, pp. 481–509, 2016

model mechanisms of the end effect and the congruity effect in time and length identification (human data, fMRI)

J. A. Moon, J. M. Fincham, S. Betts, and J. R. Anderson, “End Effects and Cross-Dimensional Interference in Identification of Time and Length: Evidence for a Common Memory Mechanism,” Cogn. Affect. Behav. Neurosci., vol. 15, no. 3, pp. 680–695, 2015

model of three-move Tower of London (human data)

R. Albrecht and M. Ragni, “Spatial Planning: An ACT-R model for the Tower of London Task,” in International Conference on Spatial Cognition, 2014

study influence of driving experience on collision avoidance (human data)

S. Cao, Y. Qin, X. Jin, L. Zhao, and M. Shen, “Effect of driving experience on collision avoidance braking : an experimental investigation and computational modelling,” Behav. Inf. Technol., vol. 33, no. 9, pp. 929–940, 2014

model signal duration effect in vigilance task by Baker (1963) (human data)

D. Gartenberg, B. Z. Veksler, G. Gunzelmann, and J. G. Trafton, “An ACT-R Process Model of the Signal Duration Phenomenon of Vigilance,” in Proceedings of the Human Factors and Ergonomics Society, 2014, pp. 909–913

model human data for multi-presentation recall tasks by Klein et al. (2005)

R. Thomson, A. A. Pyke, G. J. Trafton, and L. M. Hiatt, “An Account of Associative Learning in Memory Recall,” in Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

R. Thomson, J. G. Trafton, and L. M. Hiatt, “An Account of Associative Learning in Memory Recall,” in Proceedings of the 37th Annual Conference of the Cognitive Science Society, 2015, vol. 2

model learning phases and cognitive stages that occur when human participants learn to solve pyramid problems (human data, fMRI)

C. Tenison, J. M. Fincham, and J. R. Anderson, “Phases of learning: How skill acquisition impacts cognitive processing,” Cogn. Psychol., vol. 87, pp. 1–28, 2016

J. P. Borst, M. Nijboer, N. A. Taatgen, and H. Van Rijn, “Using Data-Driven Model-Brain Mappings to Constrain Formal Models of Cognition,” PLoS One, vol. 10, no. 3, 2015

J. R. Anderson and J. M. Fincham, “Extending problem-solving procedures through reflection,” Cogn. Psychol., vol. 74, pp. 1–34, 2014

S. Wintermute, S. Betts, J. L. Ferris, J. M. Fincham, and J. R. Anderson, “Brain Networks Supporting Execution of Mathematical Skills versus Acquisition of New Mathematical Competence,” PLoS One, vol. 7, no. 12, pp. 1–16, 2012

computational cognitive model of task interruption and resumption

J. P. Borst, N. A. Taatgen, and H. Van Rijn, “What Makes Interruptions Disruptive? A Process-Model Account of the Effects of the Problem State Bottleneck on Task Interruption and Resumption,” J. Appl. Res. Mem. Cogn., vol. 4, no. 3, 2015

E. M. Altmann and J. G. Trafton, “Timecourse of recovery from task interruption: Data and a model,” Psychon. Bull. Rev., vol. 14, no. 6, pp. 1079–1084, 2007

M. E. Brudzinski, R. M. Ratwani, and J. G. Trafton, “Goal and Spatial Memory Following Interruption,” in Proceedings of the International Conference on Cognitive Modeling, 2007

model of the time estimation task (human data)

L. R. J. Moore and G. Gunzelmann, “The Impact of Sleep Loss on Time Estimation: Reconciling Conflicting Results through Modeling,” in Proceedings of the 12th International Conference on Cognitive Modeling, 2013, pp. 191–196

N. Taatgen, J. Anderson, D. Dickison, and H. Van Rijn, “Time Interval Estimation: Internal Clock or Attentional Mechanism?,” in Proceedings of the Cognitive Science Society, 2005

model of graph comprehension

D. Peebles, “Strategy and pattern recognition in expert comprehension of 2 x 2 interaction graphs,” Cogn. Syst. Res., vol. 24, pp. 43–51, 2013

D. Peebles and P. C. Cheng, “Modeling the Effect of Task and Graphical Representation on Response Latency in a Graph Reading Task,” Hum. Factors, vol. 45, no. 1, pp. 1–15, 2003

W. Gray, C. Schunn, D. Peebles, and P. C. Cheng, “Extending task analytic models of graph-based reasoning : A cognitive model of problem solving with Cartesian graphs in ACT-R / PM,” Cogn. Syst. Res., vol. 3, pp. 77–86, 2002

model performing two tasks - change signal task and two-alternative forced choice task (human data)

L. R. Moore and G. Gunzelmann, “Task artifacts and strategic adaptation in the change signal task,” Cogn. Syst. Res., vol. 24, pp. 35–42, 2013

L. R. Moore, G. Gunzelmann, and M. Daigle, “One Model, Two Tasks: Decomposing the Change Signal Task,” in Proceedings of the 11th International Conference on Cognitive Modeling, 2012, pp. 224–229

G. Gunzelmann and L. R. J. Moore, “Evaluating the Relationship Between Neuropsychological Function and Cognitive Performance,” in Proceedings of the Thirty-Fourth Annual Meeting of the Cognitive Science Society, 2012, pp. 414–419

model of the change signal task by Brown and Braver (2005) (human data)

L. R. J. Moore, G. Gunzelmann, and J. W. Brown, “Modeling Statistical Learning and Response Inhibition with the Change Signal Task,” in Proceedings of the 10th International Conference on Cognitive Modeling, 2010, pp. 169–174

developmental model of gaze following (human data)

J. G. Trafton and A. M. Harrison, “Embodied Spatial Cognition,” Top. Cogn. Sci., vol. 3, pp. 686–706, 2011

J. G. Trafton, B. R. Fransen, A. M. Harrison, and M. Bugajska, “An embodied model of infant gaze-following,” in Proceedings of the 9th International Conference of Cognitive Modeling, 2009

hide-and-seek model (mobile robot)

J. G. Trafton and A. M. Harrison, “Embodied Spatial Cognition,” Top. Cogn. Sci., vol. 3, pp. 686–706, 2011

model of resuming after interruption in a task involving reading a story (validated on human data)

developmental model of Theory of Mind (human data)

J. G. Trafton and A. M. Harrison, “Embodied Spatial Cognition,” Top. Cogn. Sci., vol. 3, pp. 686–706, 2011

model of social dominance based on the chimpanzee observations by Brauer et al.

model of credibility judgment of Twitter accounts

Q. V. Liao, P. Pirolli, and W.-T. Fu, “An ACT-R Model of Credibility Judgment of Micro-blogging Web Pages Modeling Task and Preliminary Study,” in Proceedings of the International Conference on Cognitive Modeling, 2011, pp. 103–108

model of evolution of a domain vocabulary in small communities (human data)

D. Reitter and C. Lebiere, “How groups develop a specialized domain vocabulary: A cognitive multi-agent model,” Cogn. Syst. Res., vol. 12, pp. 175–185, 2011

model of Digit Symbol Substitution Test (human data)

T. Halverson and G. Gunzelmann, “Visual Search Versus Memory in a Paired Associate Task,” Proc. Hum. Factors Ergon. Soc. Annu. Meet., vol. 55, no. 1, pp. 875–879, 2011

model of time estimation of how long a task should take (validated on human data), applied to a robot that can comment on whether a person took too long performing a task

W. G. Kennedy and J. G. Trafton, “How long is a moment: The perception and reality of task-related absences,” Int. J. Soc. Robot., vol. 3, no. 3, pp. 243–252, 2011

memory based model of Hick's law (human data)

D. W. Schneider and J. R. Anderson, “A memory-based model of Hick’s law,” Cogn. Psychol., vol. 62, pp. 193–222, 2011

model of strategies for dynamic problem solving in a fire-fighting microworld (human data)

A. D. O. Orendain and S. Wood, “Cognitive Modeling of Strategies in Dynamic Tasks,” in Proceedings of the 10th International Conference on Cognitive Modeling, 2010

A. D. O. Orendain and S. Wood, “An account of cognitive flexibility and inflexibility for a complex dynamic task,” Proceedings of the International Conference on Cognitive Modeling. pp. 49–54, 2012

model problem state bottleneck during multitasking (human data, fMRI)

J. P. Borst, T. A. Buwalda, H. Van Rijn, and N. A. Taatgen, “Avoiding the problem state bottleneck by strategic use of the environment,” Acta Psychol. (Amst)., vol. 144, no. 2, pp. 373–379, 2013

J. P. Borst, N. A. Taatgen, and H. van Rijn, “Using a Symbolic Process Model as input for Model-Based fMRI Analysis: Locating the Neural Correlates of Problem State Replacements,” Neuroimage, vol. 58, no. 1, pp. 137–147, 2011

J. P. Borst, N. A. Taatgen, A. Stocco, and H. Van Rijn, “The Neural Correlates of Problem States : Testing fMRI Predictions of a Computational Model of Multitasking,” PLoS One, vol. 5, no. 9, 2010

J. Borst, N. Taatgen, A. Stocco, and H. Van Rijn, “Locating the Problem Representation Bottleneck in the Brain,” in Proceedings of the 14th annual ACT-R workshop, 2008

J. P. Borst, N. A. Taatgen, and H. Van Rijn, “Modeling Triple-Tasking without Customized Cognitive Control,” in Proceedings of the Cognitive Science Society, 2009, pp. 1–6

J. P. Borst, N. A. Taatgen, H. Van Rijn, A. Stocco, and J. M. Fincham, “Testing fMRI Predictions of a Dual-Task Interference Model,” 2007

model of how humans interpret instructions (human data, fMRI)

A. Stocco, C. Lebiere, R. C. O’Reilly, and J. R. Anderson, “The Role of the Basal Ganglia – Anterior Prefrontal Circuit as a Biological Instruction Interpreter,” in Proceedings of the First Annual Meeting of the BICA Society, 2010

model of information foraging on multi- and single-page web search tasks (human data)

L. Teo and B. E. John, “The Evolution of a Goal-Directed Exploration Model: Effects of Information Scent and GoBack Utility on Successful Exploration,” Top. Cogn. Sci., vol. 3, no. 1, 2011

W.-T. Fu and P. Pirolli, “SNIF-ACF: A Cognitive Model of User Navigation on the World Wide Web,” Human-Computer Interact., vol. 22, no. 4, 2007

P. Pirolli, “The Use of Proximal Information Scent to Forage for Distal Content on the World Wide Web,” in Working with Technology in Mind: Brunswikian Resources for Cognitive Science and Engineering, A. Kirlik, Ed. Oxford University Press, 2004

P. Pirolli and W.-T. Fu, “SNIF-ACT: A Model of Information Foraging on the World Wide Web,” in Proceedings of the Ninth International Conference on User Modeling, 2003

D. P. Brumby, “A Model of Single-page Web Search: The Effect of Interdependence on Link Assessment,” in Proceedings of the International Conference on Cognitive Modeling, 2003

D. P. Brumby and A. Howes, “Good Enough But I’ll Just Check: Web-page Search as Attentional Refocusing,” in Proceedings of the International Conference on Cognitive Modeling, 2003

model of information seeking (human data)

R. Budiu, P. Pirolli, and M. Fleetwood, “Navigation in Degree of Interest Trees,” in Proceedings of the Working Conference on Advanced Visual Interfaces, 2006

W.-T. Fu and W. D. Gray, “Suboptimal tradeoffs in information seeking,” Cogn. Psychol., vol. 52, pp. 195–242, 2006

model of sequential diagnostic reasoning task (human data)

U. Böhm and K. Mehlhorn, “The Influence of Spreading Activation on Memory Retrieval in Sequential Diagnostic Reasoning,” in Proceedings of the 9th International Conference on Cognitive Modeling, 2009

model the effect of prior practice to optimize learning (human data)

P. I. Pavlik and J. R. Anderson, “Using a Model to Compute the Optimal Schedule of Practice,” J. Exp. Psychol. Appl., vol. 14, no. 2, pp. 101–117, 2008

model of the effect of fatigue on cognitive performance in a mental orientation and rotation task (human data)

T. Halverson, Gun, L. R. J. Moore, and H. P. A. V. Dongen, “Modeling the Effects of Work Shift on Learning in a Mental Orientation and Rotation Task,” in Proceedings of the 10th International Conference on Cognitive Modeling, 2010, pp. 79–84

model of the three term fan effect in recall and recognition tasks (human data)

M. F. Rutledge-Taylor, A. A. Pyke, R. L. West, and H. Lang, “Modeling a Three Term Fan Effect,” in Proceedings of the 10th International Conference on Cognitive Modeling, 2010

model of the Iowa Gambling Task (human data)

A. Napoli and D. Fum, “Rewards and Punishments in Iterated Decision Making: An Explanation for the Frequency of the Contingent Event Effect,” in Proceedings of the 10th International Conference on Cognitive Modeling, 2010

A. Stocco, D. Fum, and T. Zalla, “Revising the Role of Somatic Markers in the Gambling Task: A Computational Account for Neuropsychological Impairments,” in Proceedings of the 27th Annual Conference of the Cognitive Science Society, 2005

D. Fum and A. Stocco, “Memory, Emotion, and Rationality: An ACT-R interpretation for Gambling Task results,” in Proceedings of the International Conference on Cognitive Modeling, 2004

model of playing Rock Paper Scissors (human data)

A. Napoli and D. Fum, “Applying Occam’s razor to paper (and rock and scissors, too): Why simpler models are sometimes better,” in Proceedings of the 9th International Conference of Cognitive Modeling, 2009

model of the iMAP experiment: generating referring expressions (human data)

M. Guhe, “Generating referring expressions with a cognitive model The iMAP Map Task,” in Proceedings of PRE-CogSci 2009, 2009

M. Guhe, “Generating referring expressions with a cognitive model,” in Proceedings of the Workshop Production of Referring Expressions: Bridging the Gap between Computational and Empirical Approaches to Reference, Amsterdam, 2009

M. Guhe and E. G. Bard, “Adapting the use of attributes to the task environment in joint action: results and a model,” in Proceedings of Londial–The 11th Workshop on the Semantics and Pragmatics of Dialogue, 2009

anaphora resolution (human data)

A. Pyke, R. L. West, and J.-A. LeFevre, “How Readers Retrieve Referents for Nouns in Real Time: A Memory-based Model of Context Effects on Referent Accessibility,” in Proceedings of the 8th International conference on Cognitive Modeling, 2007

R. Budiu and J. R. Anderson, “Verification of Sentences Containing Anaphoric Metaphors: An ACT-R Computational Model,” in Proceedings of the International Conference on Cognitive Modeling, 2003

R. Budiu and J. R. Anderson, “Comprehending Anaphoric Metaphors,” Mem. Cognit., vol. 30, no. 1, 2002

model of learning the number line (human data)

L. K. Lende and N. Taatgen, “Modeling representational shifts in learning the number line,” in Proceedings of the International Conference on Cognitive Modeling, 2009

model of visualizing spatial information from verbal descriptions (human data)

D. R. Lyon and G. Gunzelmann, “Visualizing Egocentric Path Descriptions: A Computational Model,” in Proceedings of the Ninth International Conference on Cognitive Modeling, 2009, pp. 2–3

M. Ragni, T. Fangmeier, and S. Brussow, “Deductive Spatial Reasoning: From Neurological Evidence to a Cognitive Model,” in Proceedings of the International Conference on Cognitive Modeling, 2010

model of the Thüring, Drewitz and Urbas (2006) experiment on knowledge acquisition (human data)

U. Drewitz and M. Thüring, “Modeling the confidence of predictions: A Time Based Approach Modeling Objectives,” in Proceedings of the 9th International Conference on Cognitive Modeling, 2009

model of the algebraic problem solving (human data, fMRI)

A. Stocco and J. R. Anderson, “Endogenous Control and Task Representation. An fMRI Study in Algebraic Problem Solving,” J. Cogn. Neurosci., vol. 20, no. 7, pp. 1300–1314, 2008

J. R. Anderson, J. M. Fincham, Y. Qin, and A. Stocco, “A central circuit of the mind,” Trends Cogn. Sci., vol. 12, no. 4, 2008

J. R. Anderson and Y. Qin, “Using Brain Imaging to Extract the Structure of Complex Events at the Rational Time Band,” J. Cogn. Neurosci., vol. 20, no. 9, pp. 1624–1636, 2008

J. F. Danker and J. R. Anderson, “The roles of prefrontal and posterior parietal cortex in algebra problem solving: A case of using cognitive modeling to inform neuroimaging data,” Neuroimage, vol. 35, pp. 1365–1377, 2007

Y. Kao and J. R. Anderson, “What Are They Thinking? Decomposing a Complex Task,” in Proceedings of the Cognitive Science Society, 2003

Y. Qin, M. Sohn, J. R. Anderson, V. A. Stenger, K. Fissell, A. Goode, and C. S. Carter, “Predicting the practice effects on the blood oxygenation level-dependent ( BOLD ) function of fMRI in a symbolic manipulation task,” PNAS, vol. 100, no. 8, 2003

J. R. Anderson, Y. Qin, M.-H. Sohn, V. A. Stenger, and C. S. Carter, “An information-processing model of the BOLD response in symbol manipulation tasks,” Psychon. Bull. Rev., vol. 10, no. 2, pp. 241–261, 2003

K. R. Koedinger and B. A. Maclaren, “Developing a Pedagogical Domain Theory of Early Algebra Problem Solving,” Tech. Rep. C., 2002

model of strategic adaptation while playing repeated constant-sum games (human data)

L. Spiliopoulos, “Strategic adaptation of humans playing computer algorithms in a repeated constant-sum game,” Auton. Agent. Multi. Agent. Syst., vol. 27, no. 1, pp. 131–160, 2013

model of sensemaking in geospatial intelligence

J. Paik, P. Pirolli, W. Dong, C. Lebiere, and R. Thomson, “An ACT-R Model of Sensemaking in Geospatial Intelligence Tasks,” in Proceedings of the Annual Conference on Behavior Representation in Modeling and Simulation, 2013

R. Thomson, C. Lebiere, M. Rutledge-Taylor, J. Staszewski, and J. R. Anderson, “Understanding Sensemaking Using Functional Architectures,” in Proceedings of the 21st Conference on Behavior Representation in Modeling and Simulation, 2012

R. Thomson, C. Lebiere, and S. Bennati, “A General Instance-Based Model of Sensemaking in a Functional Architecture,” in Proceedings of the 23rd Annual Behavior Representation in Modeling and Simulation Conference, 2014

model of facility identification in geospatial images (human data)

M. Rutledge-Taylor, C. Lebiere, R. Thomson, J. Staszewski, and J. R. Anderson, “A Comparison of Rule-Based versus Exemplar-Based Categorization Using the ACT-R Architecture,” in Proceedings of the 21st Conference on Behavior Representation in Modeling and Simulation, 2008

model of time estimation in Space Fortress Task by Donchin (1989) (human data)

J. Moon and J. R. Anderson, “Modeling Millisecond Time Interval Estimation in Space Fortress Game,” in Proceedings of the 34th Annual Conference of the Cognitive Science Society, 2012

a model for playing Space Fortress video game (human data, fMRI)

J. R. Anderson, D. Bothell, J. M. Fincham, A. R. Anderson, B. Poole, and Y. Qin, “Brain Regions Engaged by Part- and Whole-task Performance in a Video Game: A Model-based Test of the Decomposition Hypothesis,” J. Cogn. Neurosci., vol. 23, pp. 3983–3997, 2011

J. R. Anderson, D. Bothell, J. M. Fincham, and J. Moon, “The sequential structure of brain activation predicts skill,” Neuropsychologia, vol. 81, pp. 94–106, 2016

model of cognitive performance degradation during sleep deprivation (human data)

M. L. Jackson, G. Gunzelmann, P. Whitney, J. M. Hinson, G. Belenky, A. Rabat, and H. P. A. V. Dongen, “Deconstructing and reconstructing cognitive performance in sleep deprivation,” Sleep Med. Rev., pp. 1–11, 2012

model of changes in performance on a serial addition/subtraction task during sleep deprivation (human data)

G. Gunzelmann, K. A. Gluck, L. R. J. Moore, and D. F. Dinges, “Diminished access to declarative knowledge with sleep deprivation,” Cogn. Syst. Res., vol. 13, pp. 1–11, 2012

G. Gunzelmann, K. A. Gluck, J. Kershner, H. P. A. V. Dongen, and D. F. Dinges, “Understanding Decrements in Knowledge Access Resulting from Increased Fatigue,” in Proceedings of the Twenty-Ninth Annual Meeting of the Cognitive Science Society, 2007, pp. 329–334

model of serial subtraction task (human data)

F. E. Ritter, M. Schoelles, L. C. Klein, and S. E. Kase, “Modeling the Range of Performance on the Serial Subtraction Task,” in Proceedings of the International Conference on Cognitive Modeling, 2007

F. E. Ritter, A. L. Reifers, L. C. Klein, K. Quigley, and M. J. Schoelles, “Using cognitive modeling to study behavior moderators: pre-task appraisal and anxiety,” in Proceedings of the Human Factors and Ergonomics Society, 2003

model of causal learning (human data)

U. Drewitz and S. Brandenburg, “Memory and Contextual Change in Causal Learning,” in Proceedings of the International Conference on Cognitive Modeling, 2012, pp. 265–270

model of intuitive decision making (human data)

W. G. Kennedy and R. E. Patterson, “Modeling Intuitive Decision Making in ACT-R,” in Proceedings of the 11th International Conference on Cognitive Modeling, 2012

model of memory-based decisions about city size (human data)

J. N. Marewski and K. Mehlhorn, “Using the ACT-R architecture to specify 39 quantitative process models of decision making,” Judgm. Decis. Mak., vol. 6, no. 6, pp. 439–519, 2011

L. J. Schooler and R. Hertwig, “How Forgetting Aids Heuristic Inference,” Psychol. Rev., vol. 112, no. 3, pp. 1–31, 2005

model effect of sleep deprivation on driver performance (human data)

G. Gunzelmann, L. R. Moore, D. D. Salvucci, and K. A. Gluck, “Sleep loss and driver performance: Quantitative predictions with zero free parameters,” Cogn. Syst. Res., vol. 12, pp. 154–163, 2011

model of sequential decision task (human data)

M. M. Walsh and J. R. Anderson, “Learning from delayed feedback: neural responses in temporal credit assignment,” Cogn. Affect. Behav. Neurosci., vol. 11, pp. 131–143, 2011

J. G. Trafton, E. M. Altmann, and R. M. Ratwani, “A memory for goals model of sequence errors,” Cogn. Syst. Res., vol. 12, no. 2, 2011

model of Abstract Decision Making task (human data)

D. Dickison and N. A. Taatgen, “ACT-R Models of Cognitive Control in the Abstract Decision Making Task,” in Proceedings of the Eighth International Conference on Cognitive Modeling, 2007

model of complex problem solving (determine whether a structural formula matched a chemical compound) (human data, fMRI)

J. C. Lenk, C. Mobus, J. Ozyurt, C. M. Thiel, and A. Claassen, “From fMRI Data To Cognitive Models: Testing the ACT-R Brain Mapping Hypothesis with an Ex-Post Model,” in Proceedings of the International Conference on Advanced Cognitive Technologies and Applications, 2011

C. Möbus, J. C. Lenk, A. Claassen, J. Özyurt, and C. M. Thiel, “Checking the Brain Mapping Hypothesis: Predicting and Validating BOLD Curves for a Complex Task Using ACT-R,” Cogn. Syst. Res., vol. 12, no. 3–4, pp. 321–335, 2009

model of the Dynamic Stocks and Flows task (human data)

D. Reitter, “Metacognition and Multiple Strategies in a Cognitive Model of Online Control,” J. Artif. Gen. Intell., vol. 2, no. 2, pp. 20–37, 2010

M. Halbrugge, “Keep it simple – A case study of model development in the context of the Dynamic Stocks and Flows (DSF) task,” J. Artif. Gen. Intell., vol. 2, no. 2, pp. 38–51, 2010

model of picture-word interference experiment to study Gratton effect (human data)

L. Van Maanen and H. van Rijn, “Locus of the Gratton Effect in Picture-Word Interference,” Top. Cogn. Sci., vol. 2, no. 1, pp. 168–180, 2010

L. Van Maanen and H. van Rijn, “The Locus of the Gratton Effect in Picture-Word Interference,” Top. Cogn. Sci., vol. 2, no. 1, 2010

model of priming in visual-motor tasks based on the experiments by Tucker & Ellis (2001) (human data)

A. M. Harrison and J. G. Trafton, “Cognition for action: an architectural account for ‘grounded interaction,’” in Proceedings of the Cognitive Science Society, 2010, pp. 200–205

model of subliminal priming study by Marcel (1983) (human data)

L. Van Maanen and H. van Rijn, “Accounting for subliminal priming in ACT-R,” in Proceedings of the 8th International Conference on Cognitive Modeling, 2007

model effect of caffeine on appraisal and mental arithmetic performance (human data)

S. E. Kase, F. E. Ritter, and M. Schoelles, “Caffeine’s effect on appraisal and mental arithmetic performance: A cognitive modeling approach tells us more,” Proc. Int. Conf. Cogn. Model., 2009

model of degradation of driver performance under sleep deprivation (human data)

G. Gunzelmann, L. R. Moore, D. D. Salvucci, and K. A. Gluck, “Fluctuations in Alertness and Sustained Attention: Predicting Driver Performance,” in Proceedings of the Ninth International Conference on Cognitive Modeling, 2009

predict individual's skill in playing computer game (human data, fMRI)

J. R. Anderson, D. Bothell, J. M. Fincham, and J. Moon, “The sequential structure of brain activation predicts skill,” Neuropsychologia, vol. 81, pp. 94–106, 2016

acquisition of lateral control skills for driving (human data)

S. Cao, Y. Qin, L. Zhao, and M. Shen, “Modeling the development of vehicle lateral control skills in a cognitive architecture,” Transp. Res. Part F Traffic Psychol. Behav., vol. 32, pp. 1–10, 2015

effects of sleep loss and circadian rhythms on sustained attention performance with Psychomotor Vigilance Test (human data)

G. Gunzelmann, J. B. Gross, K. A. Gluck, and D. F. Dinges, “Sleep deprivation and sustained attention performance: Integrating mathematical and cognitive modeling,” Cogn. Sci., vol. 33, no. 5, pp. 880–910, 2009

G. Gunzelmann, L. . R. Moore, K. A. Gluck, H. P. A. V. Dongen, and D. F. Dinges, “Fatigue in sustained attention: Generalizing mechanisms for time awake to time on task,” in Cognitive Fatigue: Multidisciplinary Perspectives on Current Research and Future Applications, P. L. Ackerman, Ed. Washington, DC: American Psychological Association, 2010, pp. 83–96

G. Gunzelmann, J. B. Gross, K. A. Gluck, and F. Dinges, “Sleep Deprivation and Sustained Attention Performance: Integrating Mathematical and Cognitive Modeling,” Cogn. Sci., vol. 33, pp. 880–910, 2009

G. Gunzelmann, L. R. Moore, K. A. Gluck, H. P. A. V. Dongen, and D. F. Dinges, “Examining Sources of Individual Variation in Sustained Attention,” in Proceedings of the Thirty-First Annual Meeting of the Cognitive Science Society, 2009, pp. 608–613

G. Gunzelmann and K. A. Gluck, “Approaches to Modeling the Effects of Fatigue on Cognitive Performance,” in Proceedings of the Seventeenth Conference on Behavior Representation in Modeling and Simulation, 2008, pp. 136–145

G. Gunzelmann and K. A. Gluck, “An Integrative Approach to Understanding and Predicting the Consequences of Fatigue on Cognitive Performance,” Cogn. Technol., vol. 14, no. 1, pp. 14–25, 2007

G. Gunzelmann, K. A. Gluck, S. Price, H. P. A. Van Dongen, and D. F. Dinges, “Decreased Arousal as a Result of Sleep Deprivation,” in Integrated Models of Cognitive Systems, W. Gray, Ed. Oxford University Press, 2007

J. B. Gross, G. Gunzelmann, K. A. Gluck, H. P. A. V. Dongen, and D. F. Dinges, “Computational Modeling of the Combined Effects of Circadian Rhythm and Sleep Deprivation,” in Proceedings of the Twenty-Eighth Annual Meeting of the Cognitive Science Society, 2006, pp. 297–302

G. Gunzelmann, K. A. Gluck, H. P. A. Van Dongen, R. M. O. Connor, and D. F. Dinges, “A Neurobehaviorally Inspired ACT-R Model of Sleep Deprivation: Decreased Performance in Psychomotor Vigilance,” in Proceedings of the Twenty- Seventh Annual Meeting of the Cognitive Science Society, 2005, pp. 857–862

model of learning effects in mobile texting: novices vs experts (human data)

A. Das and W. Stuerzlinger, “Modeling Learning Effects in Mobile Texting,” in Proceedings of thenternational Conference on Mobile and Ubiquitous Multimedia, 2008, pp. 154–161

model of syntactic priming

D. Reitter, F. Keller, and J. D. Moore, “A Computational Cognitive Model of Syntactic Priming,” Cogn. Sci., vol. 35, no. 4, 2011

cell-phone interface interaction (human data)

R. St. Amant, T. E. Horton, and F. E. Ritter, “Model-based Evaluation of Cellphone Menu Interaction,” Proc. ACM Conf. Hum. Factors Comput. Syst. (CHI ’04), pp. 343–350, 2004

random menu selection (human data)

M. D. Byrne, “ACT-R/PM and menu selection: applying a cognitive architecture to HCI,” Int. J. Hum. Comput. Stud., vol. 55, pp. 41–84, 2001

model of phone menu interaction (human data)

R. S. T. Amant, T. E. Horton, and F. E. Ritter, “Model-Based Evaluation of Expert Cell Phone Menu Interaction,” ACM Trans. Comput. Interact., vol. 14, no. 1, 2007

IFF (identify friend or foe) tapping task (human data)

J. Moon and J. R. Anderson, “Timing in multitasking: Memory contamination and time pressure bias,” Cogn. Psychol., vol. 67, pp. 26–54, 2013

Stroop task (human data)

E. M. Altmann and D. J. Davidson, “An Integrative Approach to Stroop : Combining a Language Model and a Unified Cognitive Theory The Time Course of Stroop Inhibition,” Proc. 23rd Annu. Meet. Cogn. Sci. Soc., pp. 21–26, 2001

M. C. Lovett, “A strategy-based interpretation of stroop,” Cogn. Sci., vol. 29, pp. 493–524, 2005

L. Van Maanen and H. Van Rijn, “The Picture-Word Interference Effect is a Stroop Effect After All,” in Proceedings of the Cognitive Science Society, 2008

L. Van Maanen and H. Van Rijn, “An accumulator model of semantic interference,” Cogn. Syst. Res., vol. 8, pp. 174–181, 2007

I. Juvina, N. A. Taatgen, and D. Dickison, “Cognitive Control as Alternation of Activation and Suppression in the Stroop Task,” in Proceedings of the Cognitive Science Society, 2007, pp. 1133–1138

model of skill forgetting (human data)

J. W. Kim and R. J. Koubek, “Investigation of Procedural Skills Degradation from Different Modalities,” in Proceedings of the 8th International Conference on Cognitive Modeling, 2007

E. M. Altmann, “Functional decay of memory for tasks,” Psychol. Resesarch, vol. 66, pp. 287–297, 2002

feature and conjunction search task by Treisman and Gelade (1980) (human data)

E. Nyamsuren and N. A. Taatgen, “Pre-attentive and attentive vision module,” Cogn. Syst. Res., pp. 211–216, 2013

AHA (Abducting Hotspots of Activity) sensemaking tasks (human data)

C. Lebiere, P. Pirolli, R. Thomson, J. Paik, M. Rutledge-Taylor, J. Staszewski, and J. R. Anderson, “A functional model of sensemaking in a neurocognitive architecture,” Comput. Intell. Neurosci., vol. 2013, 2013

toy test by Postma, 1998 measures recall of object locations (human data)

D. Peebles and C. Jones, “A model of object location memory,” in Proceedings of the 36th Annual Conference of the Cognitive Science Society, 2014, pp. 2747–2752

map navigation task (human data)

W. T. Fu, “A Rational-Ecological Approach to the Exploration/Exploitation Trade-Offs Bounded Rationality and Suboptimal Performance,” in Integrated Models of Cognitive Systems, W. D. Gray, Ed. New York: Oxford University Press, 2012, pp. 165–180

H. A. Dye, “Diagrammatic Reasoning: Route Planning on Maps with ACT-R,” in Proceedings of the Eigth International Conference on Cognitive Modeling, 2002

web search task (human data)

model of orientation tasks (find-on-map and find-in-scene using exocentric or egocentric views) (human data)

G. Gunzelmann, “Strategy Generalization Across Orientation Tasks: Testing a Computational Cognitive Model,” Cogn. Sci., vol. 32, pp. 835–861, 2008

G. Gunzelmann, “Understanding Similarities in Performance on Different Orientation Tasks : Strategy Adaptation,” in Proceedings of the 7th International Conference on Cognitive Modeling, 2006, pp. 124–129

G. Gunzelmann and Lyon, “Qualitative and Quantitative Reasoning and Instance-Based Learning in Spatial Orientation,” in Proceedings of the Twenty-Eighth Annual Meeting of the Cognitive Science Society, 2006, pp. 303–308

G. Gunzelmann and J. R. Anderson, “Integrating Multiple Strategies Efficiently to Solve an Orientation Task,” in Proceedings of the Twenty-Seventh Annual Meeting of the Cognitive Science Society, 2005, pp. 851–856

G. Gunzelmann and J. R. Anderson, “Spatial Orientation Using Map Displays: A Model of the Influence of Target Location,” in Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society, 2004, pp. 517–522

G. Gunzelmann, J. R. Anderson, and S. Douglass, “Orientation Tasks with Multiple Views of Space: Strategies and Performance,” Spat. Cogn. Comput., vol. 4, no. 3, pp. 207–253, 2004

G. Gunzelmann and J. R. Anderson, “Strategic Differences in the Coordination of Different Views of Space,” in Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society, 2002, pp. 387–392

model of circle of buttons experiment by Ehret (2002) (human data)

A. Das and W. Stuerzlinger, “Unified Modeling of Proactive Interference and Memorization Effort: A new mathematical perspective within ACT-R theory,” in Proceedings of the 35th Annual Conference of the Cognitive Science Society, 2013

model of linguistic spatial gestures based on data from Kita and Ozyurek (2003) (human data)

L. A. Breslow, A. M. Harrison, and J. G. Trafton, “Linguistic Spatial Gestures,” in Proceedings of the 10th international conference on cognitive modeling, 2010

model of the associative learning (human data, fMRI)

J. R. Anderson, D. Byrne, J. M. Fincham, and P. Gunn, “Role of Prefrontal and Parietal Cortices in Associative Learning,” Cereb. Cortex, vol. 18, pp. 904–914, 2008

model of text entry on cell phone (human data)

A. Das and W. Stuerzlinger, “A Cognitive Simulation Model for Novice Text Entry on Cell Phone Keypads,” in Proceedings of the European Conference on Cognitive Ergonomics, 2007, pp. 141–147

B. E. John and T. S. Jastrzembski, “Exploration of Costs and Benefits of Predictive Human Performance Modeling for Design,” in Proceedings of the 10th International Conference on Cognitive Modeling, 2007

model of multitasking while driving (human data)

D. P. Brumby, A. Howes, and D. D. Salvucci, “A Cognitive Constraint Model of Dual-Task Trade-offs in a Highly Dynamic Driving Task,” in Proceedings of the SIGCHI conference on Human factors in computing systems, 2007, pp. 233–242

D. D. Salvucci, N. A. Taatgen, and Y. Kushleyeva, “Learning When to Switch Tasks in a Dynamic Multitasking Environment,” in Proceedings of the International Conference on Cognitive Modeling, 2005

J. Kiefer and L. Urbas, “How to model different strategies in dynamic task environments,” in Proceedings of the International Conference on Cognitive Modeling, 2005

D. D. Salvucci, “Modeling Driver Distraction from Cognitive Tasks,” in Proceedings of the Cognitive Science Society, 2002, no. 2

D. D. Salvucci, “Predicting the Effects of In-Car Interfaces on Driver Behavior using a Cognitive Architecture,” in Proceedings of the SIGCHI conference on Human factors in computing systems, 2001

D. D. Salvucci and K. L. Macuga, “Predicting the Effects of Cellular-Phone Dialing on Driver Performance,” Cogn. Syst. Res., vol. 3, no. 1, pp. 95–102, 2002

Blocks World task - replicate a pattern of eight-colored items on screen (human data)

C. P. Janssen and W. D. Gray, “When, What, and How Much to Reward in Reinforcement Learning-Based Models of Cognition,” Cogn. Sci., vol. 36, no. 2, pp. 333–358, 2012

W. D. Gray, C. R. Sims, W.-T. Fu, and M. J. Schoelles, “The Soft Constraints Hypothesis: A Rational Analysis Approach to Resource Allocation for Interactive Behavior,” Psychol. Rev., vol. 113, no. 3, pp. 461–482, 2006

W. D. Gray, M. J. Schoelles, and C. R. Sims, “Adapting to the task environment: Explorations in expected value,” Cogn. Syst. Res., vol. 6, pp. 27–40, 2005

W.-T. Fu and W. D. Gray, “Modeling Cognitive versus Perceptual-Motor Tradeoffs using ACT-R / PM,” in Proceedings of the International Conference on Cognitive Modeling, 2001

N-back task (human data)

J. Kottlors, D. Brand, and M. Ragni, “Modeling Behavior of Attention-Deficit-Disorder Patients in a N-Back Task,” in Proceedings of 11th International Conference on Cognitive Modeling (ICCM 2012), 2012, pp. 297–302

I. Juvina and N. A. Taatgen, “Modeling Control Strategies in the N-Back Task,” in International Conference on Cognitive Modeling, 2007, pp. 73–78

model of driving (human data)

D. D. Salvucci, “Modeling Driver Behavior in a Cognitive Architecture,” Hum. Factors, vol. 48, no. 2, pp. 362–380, 2006

F. E. Ritter, D. Van Rooy, R. St. Amant, and K. Simpson, “Providing User Models Direct Access to Interfaces: An Exploratory Study of a Simple Interface with Implications for HRI and HCI,” IEEE Trans. Syst. Man, Cybern. Part A. Syst. Humans, vol. 36, no. 3, pp. 592–601, 2006

counting task by Dutke (1997) (human data)

N. Pape and L. Urbas, “A Model of Time-Estimation Considering Working Memory Demands,” Proc. 30th Annu. Conf. Cogn. Sci. Soc., pp. 1543–1548, 2008

model of human time estimation (human data)

N. Pape and L. Urbas, “Testing a Quantitative Model of Time Estimation in a Load-Switch Scenario,” Proc. Int. Conf. Cogn. Model., 2009

J. Dzaack, S. Trösterer, N. Pape, and L. Urbas, “A Computational Model of Retrospective Time Estimation,” Cogn. Syst. Res., vol. 8, no. 3, pp. 208–215, 2007

attentional blink task (human data, EEG)

M. K. van Vugt, “Relating ACT-R buffer activation to EEG activity during an attentional blink task,” in Proceedings of the 11th International Conference on Cognitive Modeling, 2012

N. A. Taatgen, I. Juvina, M. Schipper, J. P. Borst, and S. Martens, “Too much control can hurt : A threaded cognition model of the attentional blink,” Cogn. Psychol., vol. 59, no. 1, pp. 1–29, 2009

N. A. Taatgen, I. Juvina, S. Herd, D. Jilk, and S. Martens, “Attentional Blink: An Internal Traffic Jam?,” in Proceedings of the 8th International Conference on Cognitive Modeling, 2007

Tower of Hanoi (human data, fMRI)

J. R. Anderson and S. Douglass, “Tower of Hanoi: Evidence for the cost of goal retrieval.,” J. Exp. Psychol. Learn. Mem. Cogn., vol. 27, no. 6, pp. 1331–1346, 2001

J. R. Anderson, M. V. Albert, and J. M. Fincham, “Tracing problem solving in real time: fMRI analysis of the subject-paced Tower of Hanoi.,” J. Cogn. Neurosci., vol. 17, no. 8, pp. 1261–1274, 2005

G. Gunzelmann and J. R. Anderson, “Problem solving: Increased planning with practice,” Cogn. Syst. Res., vol. 4, pp. 57–76, 2003

J. R. Anderson and S. Douglass, “Tower of Hanoi: Evidence for the Cost of Goal Retrieval,” J. Exp. Psychol. Learn. Mem. Cogn., vol. 27, no. 6, pp. 1–51, 2001

G. Gunzelmann and J. R. Anderson, “An ACT-R Model of the Evolution of Strategy Use and Problem Difficulty,” in Proceedings of the Fourth International Conference on Cognitive Modeling (p, 2001, pp. 109–114

FMS (flight management system) programming task based on the model of list learning (accounts for length and serial position effects)(human data)

M. Matessa, “An ACT-R List Learning Representation for Training Prediction,” Poster Present. 32nd Annu. Conf. Cogn. Sci. Soc., 2010

model of driver's attention (simulated driving)

K. S. Haring, M. Ragni, and L. Konieczny, “A Cognitive Model of Drivers Attention,” Proc. 11th Int. Conf. Cogn. Model., no. 1999, pp. 275–280, 2012

model of arousal and its effect on memory (human data)

R. E. Cochran, F. J. Lee, and E. Chown, “Modeling Emotion: Arousal’s Impact on Memory,” in Proceedings of the 28th Annual Conference of the Cognitive Science Society, 2006, pp. 1133–1138

model of the Abstract Decision Making task (human data)

D. Dickison and N. A. Taatgen, “ACT-R Models of Cognitive Control in the Abstract Decision Making Task,” in Proceedings of the Eighth International Conference on Cognitive Modeling, 2007

model of visual search (human data)

F. P. Tamborello and M. D. Byrne, “Fast Learning in a Simple Probabilistic Visual Environment: A Comparison of ACT-R’s Old PG-C and New Reinforcement Learning Algorithms,” in Proceedings of the International Conference on Cognitive Modeling, 2007

F. P. Tamborello and M. D. Byrne, “Adaptive but Non-Optimal Visual Search Behavior in Highlighted Displays,” Cogn. Syst. Res., vol. 8, no. 3, pp. 182–191, 2007

model of piano playing (human data)

T. M. Nguyen and D. D. Salvucci, “Piano Playing: A Model of Sight-Reading and Rhythmic Timing,” in Proceedings of the Seventh International Conference on Cognitive Modeling, 2006

model of music reading skill acquisition (humand data)

B. Emond and G. Comeau, “Cognitive modelling of early music reading skill acquisition for piano,” Cogn. Syst. Res., vol. 24, pp. 26–34, 2013

model of spatial memory (human data)

C. Winkelholz and C. M. Schlick, “Modeling human spatial memory within a symbolic architecture of cognition,” Int. Conf. Spat. Cogn., 2006

C. Winkelholz and C. M. Schlick, “A production system for the serial recall of object-locations in graphical layout structures Visual Module Extensions / Restrictions,” in Proceedings of 12th Annual ACT-R Workshop, 2005

model of the National Missile Defence task (human data)

B. J. Best and M. Lovett, “Inducing a Cognitive Model from Examples Provided by an Optimal Algorithm,” in Proceedings of the Seventh International Conference on Cognitive Modeling, 2006

model of the correlation detection task (human data)

W. Gaissmaier, L. J. Schooler, and J. Rieskamp, “Simple Predictions Fueled by Capacity Limitations: When Are They Successful?,” J. Exp. Psychol. Learn. Mem. Cogn., vol. 32, no. 5, pp. 966–982, 2006

model predicting future performance and current skill level (human data)

T. S. Jastrzembski, K. A. Gluck, and G. Gunzelmann, “Knowledge Tracing and Prediction of Future Trainee Performance,” in Proceedings of the 2006 Interservice/Industry Training, Simulation, and Education Conference, 2006, pp. 1498–1508

A. T. Corbett, J. R. Anderson, V. H. Carver, and S. A. Brancolini, “Individual Differences and Predictive Validity in Student Modeling,” in Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society, 1994

model of task-switching during time-critical multitasking (human data)

Y. Kushleyeva, D. D. Salvucci, and F. J. Lee, “Deciding When to Switch Tasks in Time-Critical Multitasking,” Cogn. Syst. Res., vol. 6, no. 1, pp. 41–49, 2005

model of sentence sorting by meaning based on Bencini and Goldberg 2000 experiment data

A. M. Fowles-Winkler and L. Michaelis, “An ACT-R Model of Sentence Sorting with Argument,” in Proceedings of the Annual Meeting of the Linguistic Society of America, 2005

model of streak biases in decision making (human data)

E. M. Altmann and B. D. Burns, “Streak Biases in Decision Making: Data and a Memory Model,” Cogn. Syst. Res., vol. 6, no. 1, pp. 6–15, 2005

model of repeated binary choice (human data)

C. Lebiere, C. Gonzalez, and M. Martin, “Instance-Based Decision Making Model of Repeated Binary Choice,” in Proceedings of the International Conference on Cognitive Modeling, 2005

model of memory search task (human data)

A. Chuderski, Z. Stettner, and J. Orzechowski, “Modeling Individual Differences in Working Memory Search Task,” in Proceedings of the International Conference on Cognitive Modeling, 2006

model of age effects on driving (human data)

D. D. Salvucci, A. K. Chavez, and F. J. Lee, “Modeling Effects of Age in Complex Tasks: A Case Study in Driving,” in Proceedings of the Annual Conference of the Cognitive Science Society, 2004

model of routine procedure execution (human data)

M. D. Byrne, D. Maurier, C. S. Fick, and P. H. Chung, “Routine Procedural Isomorphs and Cognitive Control Structures,” in Proceedings of the International Conference on Cognitive Modeling, 2004

model of gaze-following in chimpanzees

A. M. Harrison and J. G. Trafton, “Gaze-following and awareness of visual perspective in chimpanzees,” in Proceedings of the International Conference on Cognitive Modeling, 2009

model of AAWC task (human data)

W.-T. Fu, D. Bothell, S. Douglass, C. Haimson, M. Sohn, and J. Anderson, “Learning From Real-Time Over-The-Shoulder Instructions in a Dynamic Task The Task: The Anti-Air Warfare Coordinator,” in Proceedings of the sixth International Conference on Cognitive Modeling, 2004

model of Beer Game (human data)

M. K. Martin, C. Gonzalez, and C. Lebiere, “Learning to Make Decisions in Dynamic Environments: ACT-R Plays the Beer Game,” in Proceedings of the sixth International Conference on Cognitive Modeling, 2004, pp. 178–183

processing negations in nonliteral sentences (human data)

R. Budiu and J. R. Anderson, “Negation in Nonliteral Sentences,” in Proceedings of the Cognitive Science Society, 2005, pp. 354–359

model of visual search in iconic displays (human data)

S. P. Everett and M. D. Byrne, “Unintended Effects: Varying Icon Spacing Changes Users’ Visual Search Strategy,” in Proceedings of the SIGCHI conference on Human factors in computing systems, 2004

M. D. Fleetwood and M. D. Byrne, “Modeling Icon Search in ACT-R/PM,” Cogn. Syst. Res., vol. 3, no. 1, pp. 25–33, 2002

M. D. Fleetwood and M. D. Byrne, “Modeling the Visual Search of Displays: A Revised ACT-R/PM Model of Icon Search Based on Eye-Tracking and Experimental Data,” Human-Computer Interact., vol. 21, no. 2, pp. 153–197, 2006

model of Attentional Network Test (human data)

H. Wang, J. Fan, and T. R. Johnson, “A symbolic model of human attentional networks,” Cogn. Syst. Res., vol. 5, pp. 119–134, 2004

model of the False Belief Task (human data)

B. Arslan, N. A. Taatgen, and R. Verbrugge, “Modeling Developmental Transitions in Reasoning about False Beliefs of Others,” in Modeling Developmental Transitions in Reasoning about False Beliefs of Others, 2013

model of the social reasoning in Marble Drop task (human data)

L. Van Maanen and R. Verbrugge, “A Computational Model of Second-Order Social Reasoning An ACT-R model of social reasoning,” in Proceedings of the International Conference on Cognitive Modeling, 2010

model of playing the game of Set (human data)

N. A. Taatgen, M. Van Oploo, J. Braaksma, and J. Niemantsverdriet, “How to Construct a Believable Opponent using Cognitive Modeling in the Game of Set,” in Proceedings of the International Conference on Cognitive Modeling, 2003

model of map navigation task (human data)

W.-T. Fu, “An ACT-R adaptive planner in a simple map-navigation task,” in Proceedings of the International Conference on Cognitive Modeling, 2003

model of learning English past tense (human data)

N. A. Taatgen and M. Dijkstra, “Constraints on Generalization: Why are Past-Tense Irregularization Errors so Rare?,” in Proceedings of the 25th annual conference of the cognitive science society, 2003

N. A. Taatgen and J. R. Anderson, “Why do children learn to say ‘Broke’? A model of learning the past tense without feedback,” Cognition, vol. 86, pp. 123–155, 2002

model of analogical reasoning (human data)

J. D. M. Grob and S. Wood, “Modelling Typical Alphabetic Analogical Reasoning in ACT-R,” in Proceedings of the International Conference on Cognitive Modeling, 2003

model of visual attention capture (human data)

C. S. Fick and M. D. Byrne, “Capture Of Visual Attention By Abrupt Onsets: A Model Of Contingent Orienting Modeling the Experiment,” in Proceedings of the Fifth International Conference on Cognitive Modeling, 2003

model of lexical decision (human data)

H. van Rijn and J. R. Anderson, “Modeling Lexical Decision as Ordinary Retrieval,” in Proceedings of the International Conference on Cognitive Modeling, 2003

model of acquisition of the functions of determiners (human data)

K. Zondervan and N. A. Taatgen, “The Determiners Model: a Cognitive Model of Macro Development and U-shaped Learning in a Micro Domain,” in Proceedings of the International Conference on Cognitive Modeling, 2003

model of implicit learning in Sugar Factory task (human data)

D. Fum and A. Stocco, “Outcome Evaluation and Procedural Knowledge in Implicit Learning,” in Proceedings of the Annual Conference of the Cognitive Science Society, 2003, pp. 426–431

D. Fum and A. Stocco, “Instance vs Rule Based Learning in Controlling a Dynamic System,” Proc. Int. Conf. Cogn. Model., 2003

model of Articulatory Loop (human data)

D. G. Huss and M. D. Byrne, “An ACT-R/PM Model of the Articulatory Loop,” in Proceedings of the Fifth International Conference on Cognitive Modeling, 2003

model for solving Toads and Frogs puzzle (human data)

F. Del Missier and D. Fum, “Declarative and Procedural Strategies in Problem Solving: Evidence from the Toads and Frogs Puzzle,” in Proceedings of the Cognitive Science Society, 2002

model of learning the Spanish verb inflectional system (human data)

J. R. Anderson and S. Douglass, “Tower of Hanoi: Evidence for the Cost of Goal Retrieval,” J. Exp. Psychol. Learn. Mem. Cogn., vol. 27, no. 6, pp. 1–51, 2001

model of learning German plural (human data)

N. A. Taatgen, “Extending the Past-tense Debate: a Model of the German Plural,” in Proceedings of the Cognitive Science Society, 2001

model of categorization (human data)

J. R. Anderson and J. M. Fincham, “Categorization and Sensitivity to Correlation,” J. Exp. Psychol. Learn. Mem. Cogn., vol. 22, no. 2, pp. 259–277, 1996

model of the Balance Scale Task (human data)

H. Van Rijn, M. Van Someren, and H. van der Maas, “Modeling Developmental Transitions on the Balance Scale Task,” Cogn. Sci., vol. 27, no. 2, pp. 227–257, 2003

model of the dyadic distributive negotiation (human data)

D. Fum and F. Del Missier, “Modeling Counteroffer Behavior in Dyadic Distributive Negotiation,” in Proceedings of the International Conference on Cognitive Modeling, 1994

model to solve a Tower of Nottingham puzzle

F. E. Ritter, G. D. Baxter, G. Jones, and R. M. Young, “Supporting Cognitive Models as Users,” ACM Trans. Comput. Interact., vol. 7, no. 2, pp. 141–173, 2000

Prisoner's dilemma

S. Kim and C. Taber, “A Cognitive/Affective Model of Strategic Behavior - 2-Person Repeated Prisoner’s Dilemma Game,” in Proceedings of the sixth International Conference on Cognitive Modeling, 2004

games and puzzles

model of three-move Tower of London (human data)

R. Albrecht and M. Ragni, “Spatial Planning: An ACT-R model for the Tower of London Task,” in International Conference on Spatial Cognition, 2014

model of playing Rock Paper Scissors (human data)

model of strategic adaptation while playing repeated constant-sum games (human data)

L. Spiliopoulos, “Strategic adaptation of humans playing computer algorithms in a repeated constant-sum game,” Auton. Agent. Multi. Agent. Syst., vol. 27, no. 1, pp. 131–160, 2013

a model for playing Space Fortress video game (human data, fMRI)

J. R. Anderson, D. Bothell, J. M. Fincham, and J. Moon, “The sequential structure of brain activation predicts skill,” Neuropsychologia, vol. 81, pp. 94–106, 2016

Tower of Hanoi (human data, fMRI)

J. R. Anderson and S. Douglass, “Tower of Hanoi: Evidence for the cost of goal retrieval.,” J. Exp. Psychol. Learn. Mem. Cogn., vol. 27, no. 6, pp. 1331–1346, 2001

G. Gunzelmann and J. R. Anderson, “Problem solving: Increased planning with practice,” Cogn. Syst. Res., vol. 4, pp. 57–76, 2003

J. R. Anderson and S. Douglass, “Tower of Hanoi: Evidence for the Cost of Goal Retrieval,” J. Exp. Psychol. Learn. Mem. Cogn., vol. 27, no. 6, pp. 1–51, 2001

playing Backgammon (demo of cognitively plausible learning)

S. Sanner, J. R. Anderson, C. Lebiere, and M. C. Lovett, “Achieving Efficient and Cognitively Plausible Learning in Backgammon,” in Proceedings of the Seventeenth International Conference on Machine Learning (ICML-2000), 2000

playing a game of Set (construction of a believable opponent)

N. A. Taatgen, M. van Oploo, J. Braaksma, and J. Niemantsverdriet, “How to construct a believable opponent using cognitive modeling in the game of set,” Proc. 5th Int. Conf. Cogn. Model., pp. 201–206, 2003

model of Beer Game (human data)

model of playing the game of Set (human data)

model for solving Toads and Frogs puzzle (human data)

F. Del Missier and D. Fum, “Declarative and Procedural Strategies in Problem Solving: Evidence from the Toads and Frogs Puzzle,” in Proceedings of the Cognitive Science Society, 2002

model to solve a Tower of Nottingham puzzle

F. E. Ritter, G. D. Baxter, G. Jones, and R. M. Young, “Supporting Cognitive Models as Users,” ACM Trans. Comput. Interact., vol. 7, no. 2, pp. 141–173, 2000

Prisoner's dilemma

misc

model of mathematical discovery (discovering commutativity)

M. Guhe, A. Pease, and A. Smaill, “A Cognitive Model of Discovering Commutativity A Case Study: Discovering Commutativity,” in Proceedings of the Cognitive Science Society, 2009, pp. 727–732

model of sensemaking in geospatial intelligence

model of path-planning in a randomly generated maze

D. Reitter and C. Lebiere, “A Cognitive model of spatial path-planning,” Comput. Math. Organ. Theory, vol. 16, no. 3, pp. 220–245, 2010

model of learning a song

B. Chikhaoui, H. Pigot, M. Beaudoin, G. Pratte, P. Bellefeuille, and F. Laudares, “Learning a Song: an ACT-R Model,” Proc. Int. Conf. Comput. Intell., pp. 405–410, 2009

model of voter (human data from National Election Survey)

S. Kim, M. Lodge, and C. Taber, “A Computational Model of Voter - The Dynamics of Political Candidate Evaluation,” in Proceedings of the International Conference on Cognitive Modeling, 2004

cognitive tutor for algebra symbolization

K. R. Koedinger and J. R. Anderson, “Illustrating Principled Design: The Early Evolution of a Cognitive Tutor for Algebra Symbolization,” Interact. Learn. Environ., vol. 5, no. 1, pp. 161–179, 1998

K. R. Koedinger, J. R. Anderson, W. H. Hadley, and M. A. Mark, “Intelligent Tutoring Goes To School in the Big City,” Int. J. Artif. Intell. Educ., vol. 8, pp. 30–43, 1997

categorization and clustering

malware intent classification

C. Lebiere, S. Bennati, R. Thomson, P. Shakarian, and E. Nunes, “Functional Cognitive Models of Malware Identification,” in Proceedings of the13th Annual Conference on Cognitive Modelling, 2015

R. Thomson, C. Lebiere, S. Bennati, P. Shakarian, and E. Nunes, “Malware Identification Using Cognitively-Inspired Inference,” in Proceedings of the 24th Annual Behavior Representation in Modeling and Simulation Conference, 2013

model of credibility judgment of Twitter accounts

model of facility identification in geospatial images (human data)

model of categorization (human data)

J. R. Anderson and J. M. Fincham, “Categorization and Sensitivity to Correlation,” J. Exp. Psychol. Learn. Mem. Cogn., vol. 22, no. 2, pp. 259–277, 1996

computer vision

feature and conjunction search task by Treisman and Gelade (1980) (human data)

E. Nyamsuren and N. A. Taatgen, “Pre-attentive and attentive vision module,” Cogn. Syst. Res., pp. 211–216, 2013

model of the UAV operator (human data)

E. Dimperio and G. Gunzelmann, “An Initial Evaluation of a Cognitive Model of UAV Reconnaissance,” in Proceedings of the Seventeenth Conference on Behavior Representation in Modeling and Simulation, 2008, pp. 165–173

K. A. Gluck, J. T. Ball, M. A. Krusmark, S. M. Rodgers, and M. D. Purtee, “A Computational Process Model of Basic Aircraft Maneuvering,” in Proceedings of the International Conference on Cognitive Modeling, 2003

air traffic controller task (human data)

N. Taatgen and F. J. Lee, “Production Compliation: A Simple Mechanism To Model Complex Skill Aquisition,” Hum. Factors, vol. 45, no. 1, pp. 61–76, 2003

N. A. Taatgen, “A model of individual differences in skill acquisition in the Kanfer-Ackerman air traffic control task,” Cogn. Syst. Res., vol. 3, no. 1, pp. 103–112, 2002

J. Rehling, M. C. Lovett, C. Lebiere, L. M. Reder, and B. Demiral, “Modeling Complex Tasks: An Individual Difference Approach,” in In proceedings of the 26th Annual Conference of the Cognitive Science Society, 2004

N. A. Taatgen, “A Model of Individual Differences in Skill Acquisition in the Kanfer-Ackerman Air Traffic Control Task,” Cogn. Syst. Res., vol. 3, no. 1, 2002

C. Lebiere, J. R. Anderson, and D. Bothell, “Multi-Tasking and Cognitive Workload in an ACT-R Model of a Simplified Air Traffic Control Task,” in Proceedings of the Tenth Conference on Computer Generated Forces and Behavioral Representation, 2001

F. J. Lee and N. A. Taatgen, “Multitasking as Skill Acquisition,” in Proceedings of the Cognitive Science Society, 2002

F. J. Lee, J. R. Anderson, and M. P. Matessa, “Components of Dynamic Skill Acquisition,” in Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society, 1995

improving design of instructions for better learning

N. A. Taatgen, D. Huss, and J. R. Anderson, “How Cognitive Models can Inform the Design of Instructions,” in Proceedings of the Seventh International Conference on Cognitive Modeling, 2006

B. Rittle-Johnson and K. R. Koedinger, “Using cognitive models to guide instructional design: The case of fraction division,” in Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society, 2001

model predicting future performance and current skill level (human data)

model of human error in aviation domain

M. D. Byrne and A. Kirlik, “Using Computational Cognitive Modeling to Diagnose Possible Sources of Aviation Error,” Int. J. Aviat. Psychol., vol. 15, no. 2, pp. 135–155, 2005

model of pilot attention during approach and landing to find the impact of SVS on performance

M. D. Byrne, A. Kirlik, M. D. Fleetwood, D. G. Huss, A. Kosorukoff, R. Lin, and C. S. Fick, “A Closed-Loop, ACT-R Approach to Modeling Approach and Landing With and Without Synthtic Vision System (SVS) Technology,” in Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2004, pp. 2111–2115

model of cognition and behavior of an airline pilot taxiing a Boeing 737-800

M. Schoelles and W. D. Gray, “SimPilot: An exploration of modeling a highly interactive task with delayed feedback in a multitasking environment,” in Proceedings of the International Conference on Cognitive Modeling, 2012, pp. 66–71

modeling human performance in baseball batting

C. Lebiere, R. Gray, D. Salvucci, and R. West, “Choice and Learning under Uncertainty: A Case Study in Baseball Batting,” in Proceedings of the 25th Annual Meeting of the Cognitive Science Society, 2003, pp. 704–709

HRI/HCI