A New Type of Ferroelectric Shift Register. - John R. Anderson (IRE Trans. Electron. Comput., 1956)

Induction of Augmented Transition Networks. - John R. Anderson (Cogn. Sci., 1977)

Design of a production system for cognitive modeling. - John R. Anderson; Paul J. Kline (SIGART Newsl., 1977)

The Processing of Referring Expressions within a Semantic Network. - John R. Anderson (TINLAP, 1978)

A Learning System and Its Psychological Implications. - John R. Anderson; Paul J. Kline (IJCAI, 1979)

Use of Thematic Information to Speed Search of Semantic Nets. - Lynne M. Reder; John R. Anderson (IJCAI, 1979)

A Theory of Language Acquisition Based on General Learning Principles. - John R. Anderson (IJCAI, 1981)

Tuning of Search of the Problem Space for Geometry Proofs. - John R. Anderson (IJCAI, 1981)

Learning to Program. - John R. Anderson (IJCAI, 1983)

Machine learning - an artificial intelligence approach. - Ryszard S. Michalski; John R. Anderson (Springer, 1984)

An Interactive Computer-Based Tutor for LISP. - Robert G. Farrell; John R. Anderson; Brian J. Reiser (AAAI, 1984)

Cognitive Psychology. - John R. Anderson (Artif. Intell., 1984)

Learning to Program in LISP. - John R. Anderson; Robert G. Farrell; Ron Sauers (Cogn. Sci., 1984)

The Geometry Tutor. - John R. Anderson; C. Franklin Boyle; Gregg Yost (IJCAI, 1985)

Dynamic Student Modelling in an Intelligent Tutor for LISP Programming. - Brian J. Reiser; John R. Anderson; Robert G. Farrell (IJCAI, 1985)

Novice LISP Errors: Undetected Losses of Information from Working Memory. - John R. Anderson; Robin Jeffries (Hum. Comput. Interact., 1985)

The Transfer of Text-Editing Skill. - Mark K. Singley; John R. Anderson (Int. J. Man Mach. Stud., 1985)

The Automated Tutoring of Introductory Computer Programming. - John R. Anderson; Edward Skwarecki (Commun. ACM, 1986)

Learning Flow of Control: Recursive and Iterative Procedures. - Claudius M. Kessler; John R. Anderson (Hum. Comput. Interact., 1986)

Debugging: An Analysis of Bug-Location Strategies. - Irvin R. Katz; John R. Anderson (Hum. Comput. Interact., 1987)

A Keystroke Analysis of Learning and Transfer in Text Editing. - Mark K. Singley; John R. Anderson (Hum. Comput. Interact., 1987)

Learning Flow of Control: Recursive and lterative Procedures. - Claudius M. Kessler; John R. Anderson (ACM SIGCHI Bull., 1987)

A Theory of the Origins of Human Knowledge. - John R. Anderson (Artif. Intell., 1989)

Skill Acquisition and the LISP Tutor. - John R. Anderson; Frederick G. Conrad; Albert T. Corbett (Cogn. Sci., 1989)

Debugging: An Analysis of Bug-Location Strategies (Abstract Only). - Irvin R. Katz; John R. Anderson (ACM SIGCHI Bull., 1989)

A Rational Analysis of Categorization. - John R. Anderson; Michael Matessa (ML, 1990)

Cognitive Modeling and Intelligent Tutoring. - John R. Anderson; C. Franklin Boyle; Albert T. Corbett; Matthew W. Lewis (Artif. Intell., 1990)

Abstract Planning and Perceptual Chunks: Elements of Expertise in Geometry. - Kenneth R. Koedinger; John R. Anderson (Cogn. Sci., 1990)

Intelligent Tutoring and High School Mathematics. - John R. Anderson (Intelligent Tutoring Systems, 1992)

The Advantages of Data Flow Diagrams for Beginning Programming. - K. S. R. Anjaneyulu; John R. Anderson (Intelligent Tutoring Systems, 1992)

Student Modeling and Mastery Learning in a Computer-Based Proramming Tutor. - Albert T. Corbett; John R. Anderson (Intelligent Tutoring Systems, 1992)

Knowledge Transfer among Programming Languages. - Quanfeng Wu; John R. Anderson (PPIG (2), 1992)

Explorations of an Incremental, Bayesian Algorithm for Categorization. - John R. Anderson; Michael Matessa (Mach. Learn., 1992)

Strategy Choice and Change in Programming. - Quanfeng Wu; John R. Anderson (Int. J. Man Mach. Stud., 1993)

Knowledge Tracing: Modelling the Acquisition of Procedural Knowledge. - Albert T. Corbett; John R. Anderson (User Model. User Adapt. Interact., 1995)

Transfer of Declarative Knowledge in Complex Information-Processing Domains. - Léon Harvey; John R. Anderson (Hum. Comput. Interact., 1996)

digital Smoke. - John R. Anderson (SIGGRAPH Visual Proceedings, 1997)

ACT-R: A Theory of Higher Level Cognition and Its Relation to Visual Attention. - John R. Anderson; Michael Matessa; Christian Lebiere (Hum. Comput. Interact., 1997)

Instructional Applications of ACT: Past, Present, and Future. - John R. Anderson (Intelligent Tutoring Systems, 1998)

Deconstructing a Computer-Based Tutor: Striving for Better Learning Efficiency in Stat Lady. - Kevin A. Gluck; Valerie J. Shute; John R. Anderson; Marsha C. Lovett (Intelligent Tutoring Systems, 1998)

ACT-R Electronic Bookshelf: An Adaptive System to Support LearningACT-R on the Web. - Peter Brusilovsky; John R. Anderson (WebNet, 1998)

Illustrating Principled Design: The Early Evolution of a Cognitive Tutor for Algebra Symbolization. - Kenneth R. Koedinger; John R. Anderson (Interact. Learn. Environ., 1998)

Eye Tracking the Visual Search of Click-Down Menus. - Michael D. Byrne; John R. Anderson; Scott Douglass; Michael Matessa (CHI, 1999)

Third generation computer tutors: learn from or ignore human tutors? - Albert T. Corbett; John R. Anderson; Arthur C. Graesser; Kenneth R. Koedinger; Kurt VanLehn (CHI Extended Abstracts, 1999)

The generality/specificity of expertise in scientific reasoning. - Christian D. Schunn; John R. Anderson (Cogn. Sci., 1999)

Intelligent gaze-added interfaces. - Dario D. Salvucci; John R. Anderson (CHI, 2000)

Achieving Efficient and Cognitively Plausible Learning in Backgammon. - Scott Sanner; John R. Anderson; Christian Lebiere; Marsha C. Lovett (ICML, 2000)

Broader Bandwidth in Student Modeling: What if ITS were "Eye"TS? - Kevin A. Gluck; John R. Anderson; Scott Douglass (Intelligent Tutoring Systems, 2000)

What can a mouse cursor tell us more?: correlation of eye/mouse movements on web browsing. - Mon-Chu Chen; John R. Anderson; Myeong-Ho Sohn (CHI Extended Abstracts, 2001)

Locus of feedback control in computer-based tutoring: impact on learning rate, achievement and attitudes. - Albert T. Corbett; John R. Anderson (CHI, 2001)

Integrating analogical mapping and general problem solving: the path-mapping theory. - Dario D. Salvucci; John R. Anderson (Cogn. Sci., 2001)

Automated Eye-Movement Protocol Analysis. - Dario D. Salvucci; John R. Anderson (Hum. Comput. Interact., 2001)

Spanning seven orders of magnitude: a challenge for cognitive modeling. - John R. Anderson (Cogn. Sci., 2002)

Problem solving: Increased planning with practice. - Glenn Gunzelmann; John R. Anderson (Cogn. Syst. Res., 2003)

Learning Real-time Over-the-shoulder Instructions in a Dynamic Task. - Wai-Tat Fu; Daniel Bothell; Scott Douglass; Craig Haimson; Myeong-Ho Sohn; John R. Anderson (ICCM, 2004)

An ACT-R Model of Memory Applied to Finding the Optimal Schedule of Practice. - Philip I. Pavlik Jr.; John R. Anderson (ICCM, 2004)

Time Perception: Beyond Simple Interval Estimation. - Niels Taatgen; Hedderik van Rijn; John R. Anderson (ICCM, 2004)

Interpretation-based processing: a unified theory of semantic sentence comprehension. - Raluca Budiu; John R. Anderson (Cogn. Sci., 2004)

Partitioning Visual Displays Aids Task-Directed Visual Search. - Craig Haimson; Daniel Bothell; Scott A. Douglass; John R. Anderson (Hum. Factors, 2004)

Orientation Tasks with Multiple Views of Space: Strategies and Performance. - Glenn Gunzelmann; John R. Anderson; Scott Douglass (Spatial Cogn. Comput., 2004)

Human Symbol Manipulation Within an Integrated Cognitive Architecture. - John R. Anderson (Cogn. Sci., 2005)

Practice and Forgetting Effects on Vocabulary Memory: An Activation-Based Model of the Spacing Effect. - Philip I. Pavlik Jr.; John R. Anderson (Cogn. Sci., 2005)

Characteristics of Fluent Skills in a Complex, Dynamic Problem-Solving Task. - Myeong-Ho Sohn; Scott Douglass; Mon-Chu Chen; John R. Anderson (Hum. Factors, 2005)

Tracing Problem Solving in Real Time: fMRI Analysis of the Subject-paced Tower of Hanoi. - John R. Anderson; Mark V. Albert; Jon M. Fincham (J. Cogn. Neurosci., 2005)

An information-processing model of three cortical regions: evidence in episodic memory retrieval. - Myeong-Ho Sohn; Adam Goode; V. Andrew Stenger; Kwan-Jin Jung; Cameron S. Carter; John R. Anderson (NeuroImage, 2005)

ACT-R Meets fMRI. - Yulin Qin; Daniel Bothell; John R. Anderson (WImBI, 2006)

Toward a real-time model-based training system. - Wai-Tat Fu; Daniel Bothell; Scott Douglass; Craig Haimson; Myeong-Ho Sohn; John R. Anderson (Interact. Comput., 2006)

Using Brain Imaging to Guide the Development of a Cognitive Architecture. - John R. Anderson (Integrated Models of Cognitive Systems, 2007)

The roles of prefrontal and posterior parietal cortex in algebra problem solving: A case of using cognitive modeling to inform neuroimaging data. - Jared F. Danker; John R. Anderson (NeuroImage, 2007)

The SAL Integrated Cognitive Architecture. - Christian Lebiere; Randall C. O'Reilly; David J. Jilk; Niels Taatgen; John R. Anderson (AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, 2008)

Using fMRI to Test Models of Complex Cognition. - John R. Anderson; Cameron S. Carter; Jon M. Fincham; Yulin Qin; Susan M. Ravizza; Miriam Rosenberg-Lee (Cogn. Sci., 2008)

SAL: an explicitly pluralistic cognitive architecture. - David J. Jilk; Christian Lebiere; Randall C. O'Reilly; John R. Anderson (J. Exp. Theor. Artif. Intell., 2008)

Beyond red states and blue states in cognitive science. - David J. Jilk; Christian Lebiere; Randall C. O'Reilly; John R. Anderson (J. Exp. Theor. Artif. Intell., 2008)

Using Brain Imaging to Extract the Structure of Complex Events at the Rational Time Band. - John R. Anderson; Yulin Qin (J. Cogn. Neurosci., 2008)

Endogenous Control and Task Representation: An fMRI Study in Algebraic Problem-solving. - Andrea Stocco 002; John R. Anderson (J. Cogn. Neurosci., 2008)

Dopamine, Learning, and Production Rules: The Basal Ganglia and the Flexible Control of Information Transfer in the Brain. - Andrea Stocco 002; Christian Lebiere; John Robert Anderson (AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, 2009)

The Role of the Basal Ganglia - Anterior Prefrontal Circuit as a Biological Instruction Interpreter. - Andrea Stocco 002; Christian Lebiere; Randall C. O'Reilly; John R. Anderson (BICA, 2010)

Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System. - Jon M. Fincham; John R. Anderson; Shawn A. Betts; Jennifer L. Ferris (EDM, 2010)

The Past, Present, and Future of Cognitive Architectures. - Niels Taatgen; John R. Anderson (Top. Cogn. Sci., 2010)

Bridging the gap: A neurally plausible functional model of sensemaking. - Matthew Rutledge-Taylor; Christian Lebiere; Yury Vinokurov; James Staszewski; John R. Anderson (BICA, 2011)

When does provision of instruction promote learning? - Hee Seung Lee; Abraham R. Anderson; Shawn A. Betts; John R. Anderson (CogSci, 2011)

Using a Cognitive Model to Provide Instruction for a Dynamic Task. - Jung Aa Moon; Daniel Bothell; John R. Anderson (CogSci, 2011)

Using Brain Imaging to Interpret Student Problem Solving. - John R. Anderson; Shawn A. Betts; Jennifer L. Ferris; Jon M. Fincham; Jian Yang (IEEE Intell. Syst., 2011)

Brain Regions Engaged by Part- and Whole-task Performance in a Video Game: A Model-based Test of the Decomposition Hypothesis. - John R. Anderson; Daniel Bothell; Jon M. Fincham; Abraham R. Anderson; Ben Poole; Yulin Qin (J. Cogn. Neurosci., 2011)

Modeling Millisecond Time Interval Estimation in Space Fortress Game. - Jung Aa Moon; John R. Anderson (CogSci, 2012)

Using brain imaging to track problem solving in a complex state space. - John R. Anderson; Jon M. Fincham; Darryl W. Schneider; Jian Yang (NeuroImage, 2012)

Discovering Processing Stages by combining EEG with Hidden Markov Models. - Jelmer P. Borst; John R. Anderson (CogSci, 2013)

Acquiring Basic Skills in Changing Task Environments: Transfer of Working Memory Updating. - Trudy Buwalda; Aryn Pyke; Shawn A. Betts; Niels Taatgen; John R. Anderson (CogSci, 2013)

Discovering the Structure of Mathematical Problem Solving. - John R. Anderson (EDM, 2013)

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)

Stages of Processing in Associative Recognition: Evidence from Behavior, EEG, and Classification. - Jelmer P. Borst; Darryl W. Schneider; Matthew M. Walsh; John R. Anderson (J. Cogn. Neurosci., 2013)

Electrophysiological Responses to Feedback during the Application of Abstract Rules. - Matthew M. Walsh; John R. Anderson (J. Cogn. Neurosci., 2013)

Detecting Changes in Math Strategy Use During Learning. - Caitlin Tenison; John R. Anderson (CogSci, 2014)

Discovering the Sequential Structure of Thought. - John R. Anderson; Jon M. Fincham (Cogn. Sci., 2014)

Discovering the structure of mathematical problem solving. - John R. Anderson; Hee Seung Lee; Jon M. Fincham (NeuroImage, 2014)

An ACT-R Model of the Choose-Short Effect in Time and Length. - Jung Aa Moon; John R. Anderson (CogSci, 2015)

Consistency in Brain Activation Predicts Success in Transfer. - Qiong Zhang; John R. Anderson; Robert E. Kass (CogSci, 2015)

The discovery of processing stages: Analyzing EEG data with hidden semi-Markov models. - Jelmer P. Borst; John R. Anderson (NeuroImage, 2015)

From computation to automization: How practice alters initial neural response to familiar arithmetic problems. - Caitlin Tenison; John R. Anderson (CogSci, 2016)

Learning Problem-Solving Rules as Search Through a Hypothesis Space. - Hee Seung Lee; Shawn A. Betts; John R. Anderson (Cogn. Sci., 2016)

Tracking cognitive processing stages with MEG: A spatio-temporal model of associative recognition in the brain. - Jelmer P. Borst; Avniel Singh Ghuman; John R. Anderson (NeuroImage, 2016)

The impact of practice frequency on learning and retention. - Caitlin Tenison; John R. Anderson (CogSci, 2017)

A Spatial-Temporal Analysis of a Visual Working Memory Task with EEG and ECoG. - Qiong Zhang; Marieke K. van Vugt; Jelmer P. Borst; John R. Anderson (CogSci, 2017)

Folding: Why Good Models Sometimes Make Spurious Recommendations. - Doris Xin; Nicolas Mayoraz; Hubert Pham; Karthik Lakshmanan; John R. Anderson (RecSys, 2017)

Beyond Globally Optimal: Focused Learning for Improved Recommendations. - Alex Beutel; Ed Huai-hsin Chi; Zhiyuan Cheng 002; Hubert Pham; John R. Anderson (WWW, 2017)

Interactive Task Learning. - John E. Laird; Kevin A. Gluck; John R. Anderson; Kenneth D. Forbus; Odest Chadwicke Jenkins; Christian Lebiere; Dario D. Salvucci; Matthias Scheutz; Andrea Thomaz; J. Gregory Trafton; Robert E. Wray; Shiwali Mohan; et al. (IEEE Intell. Syst., 2017)

The Effects of Probe Similarity on Retrieval and Comparison Processes in Associative Recognition. - Qiong Zhang; Matthew M. Walsh; John R. Anderson (J. Cogn. Neurosci., 2017)

When math operations have visuospatial meanings versus purely symbolic definitions: Which solving stages and brain regions are affected? - Aryn Pyke; Jon M. Fincham; John R. Anderson (NeuroImage, 2017)

Mapping working memory retrieval in space and in time: A combined electroencephalography and electrocorticography approach. - Qiong Zhang; Marieke K. van Vugt; Jelmer P. Borst; John R. Anderson (NeuroImage, 2018)

Skill Acquisition in a Dynamic Collaborative Task. - Cvetomir Dimov; John R. Anderson; Shawn A. Betts; Daniel Bothell (CogSci, 2019)

Efficient Training on Very Large Corpora via Gramian Estimation. - Walid Krichene; Nicolas Mayoraz; Steffen Rendle; Li Zhang 001; Xinyang Yi; Lichan Hong; Ed H. Chi; John R. Anderson (ICLR (Poster), 2019)

High performance Monte Carlo simulation of ising model on TPU clusters. - Kun Yang; Yi-Fan Chen; Georgios Roumpos; Chris Colby; John R. Anderson (SC, 2019)

Scalable Realistic Recommendation Datasets through Fractal Expansions. - Francois Belletti; Karthik Lakshmanan; Walid Krichene; Yi-Fan Chen; John R. Anderson (CoRR, 2019)

Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions. - Francois Belletti; Karthik Lakshmanan; Walid Krichene; Nicolas Mayoraz; Yi-Fan Chen; John R. Anderson; Taylor Robie; Tayo Oguntebi; Dan Shirron; Amit Bleiwess (CoRR, 2019)

Tensor Processing Units for Financial Monte Carlo. - Francois Belletti; Davis King 002; Kun Yang; Roland Nelet; Yusef Shafi; Yi-Fan Chen; John R. Anderson (CoRR, 2019)

High-resolution imaging on TPUs. - Fantine Huot; Yi-Fan Chen; Robert G. Clapp; Carlos Boneti; John R. Anderson (CoRR, 2019)

Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. - Tao Wu; Ellie Ka In Chio; Heng-Tze Cheng; Yu Du; Steffen Rendle; Dima Kuzmin; Ritesh Agarwal; Li Zhang 001; John R. Anderson; Sarvjeet Singh; Tushar Chandra; Ed H. Chi; et al. (CIKM, 2020)

Large-Scale Weakly-Supervised Content Embeddings for Music Recommendation and Tagging. - Qingqing Huang; Aren Jansen; Li Zhang 001; Daniel P. W. Ellis; Rif A. Saurous; John R. Anderson (ICASSP, 2020)

Tensor Processing Units for Financial Monte Carlo. - Francois Belletti; Davis King 002; Kun Yang; Roland Nelet; Yusef Shafi; Yi-Fan Shen; John R. Anderson (PP, 2020)

Neural Collaborative Filtering vs. Matrix Factorization Revisited. - Steffen Rendle; Walid Krichene; Li Zhang 001; John R. Anderson (RecSys, 2020)

Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow. - Francois Belletti; Davis King 002; James Lottes; Yi-Fan Chen; John R. Anderson (CoRR, 2020)

Superbloom: Bloom filter meets Transformer. - John R. Anderson; Qingqing Huang; Walid Krichene; Steffen Rendle; Li Zhang 001 (CoRR, 2020)

Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data. - Fantine Huot; R. Lily Hu; Matthias Ihme; Qing Wang 032; John Burge; Tianjian Lu; Jason Hickey; Yi-Fan Chen; John R. Anderson (CoRR, 2020)

Reconstructing fine-grained cognition from brain activity. - John R. Anderson; Shawn A. Betts; Jon M. Fincham; Ryan M. Hope; Mathew W. Walsh (NeuroImage, 2020)

Large-Scale Discrete Fourier Transform on TPUs. - Tianjian Lu; Yi-Fan Chen; Blake A. Hechtman; Tao Wang; John R. Anderson (IEEE Access, 2021)

A TensorFlow simulation framework for scientific computing of fluid flows on tensor processing units. - Qing Wang 032; Matthias Ihme; Yi-Fan Chen; John R. Anderson (Comput. Phys. Commun., 2022)

Accelerating large-eddy simulations of clouds with Tensor Processing Units. - Sheide Chammas; Qing Wang 032; Tapio Schneider; Matthias Ihme; Yi-Fan Chen; John R. Anderson (CoRR, 2023)

Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations. - Anudhyan Boral; Zhong Yi Wan; Leonardo Zepeda-Núñez; James Lottes; Qing Wang 032; Yi-Fan Chen; John Robert Anderson; Fei Sha (CoRR, 2023)

An Integrated Model of Collaborative Skill Acquisition: Anticipation, Control Tuning, and Role Adoption. - Cvetomir Dimov; John R. Anderson; Shawn A. Betts; Daniel Bothell (Cogn. Sci., 2023)

Tight resource-rational analysis. - Cvetomir Dimov; John R. Anderson; Shawn A. Betts (Cogn. Syst. Res., 2024)

Dynamical-generative downscaling of climate model ensembles. - Ignacio Lopez-Gomez; Zhong Yi Wan; Leonardo Zepeda-Núñez; Tapio Schneider; John R. Anderson; Fei Sha (CoRR, 2024)

Statistical Downscaling via High-Dimensional Distribution Matching with Generative Models. - Zhong Yi Wan; Ignacio Lopez-Gomez; Rob Carver; Tapio Schneider; John R. Anderson; Fei Sha; Leonardo Zepeda-Núñez (CoRR, 2024)

Tracking the Cognitive Band in an Open-Ended Task. - John R. Anderson; Shawn A. Betts; Daniel Bothell; Cvetomir Dimov; Jon M. Fincham (Cogn. Sci., 2024)