John R. Anderson

138 papers A* 13A 4B 20Misc 1Journal 82Unranked 16

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Dynamical-generative downscaling of climate model ensembles. CoRR Ignacio Lopez-Gomez, Zhong Yi Wan, Leonardo Zepeda-Núñez, Tapio Schneider, John R. Anderson, Fei Sha
2024	J	`jnl`	Statistical Downscaling via High-Dimensional Distribution Matching with Generative Models. CoRR Zhong Yi Wan, Ignacio Lopez-Gomez, Rob Carver, Tapio Schneider, John R. Anderson, Fei Sha, Leonardo Zepeda-Núñez
2024	J	`jnl`	Tight resource-rational analysis. Cogn. Syst. Res. Cvetomir Dimov, John R. Anderson, Shawn A. Betts
2024	J	`jnl`	Tracking the Cognitive Band in an Open-Ended Task. Cogn. Sci. John R. Anderson, Shawn A. Betts, Daniel Bothell, Cvetomir Dimov, Jon M. Fincham
2023	J	`jnl`	Accelerating large-eddy simulations of clouds with Tensor Processing Units. CoRR Sheide Chammas, Qing Wang, Tapio Schneider, Matthias Ihme, Yi-Fan Chen, John R. Anderson
2023	J	`jnl`	An Integrated Model of Collaborative Skill Acquisition: Anticipation, Control Tuning, and Role Adoption. Cogn. Sci. Cvetomir Dimov, John R. Anderson, Shawn A. Betts, Daniel Bothell
2022	J	`jnl`	A TensorFlow simulation framework for scientific computing of fluid flows on tensor processing units. Comput. Phys. Commun. Qing Wang, Matthias Ihme, Yi-Fan Chen, John R. Anderson
2021	J	`jnl`	A TensorFlow Simulation Framework for Scientific Computing of Fluid Flows on Tensor Processing Units. CoRR Qing Wang, Matthias Ihme, Yi-Fan Chen, John R. Anderson
2021	J	`jnl`	Large-Scale Discrete Fourier Transform on TPUs. IEEE Access Tianjian Lu, Yi-Fan Chen, Blake A. Hechtman, Tao Wang, John R. Anderson
2020	J	`jnl`	Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data. CoRR Fantine Huot, R. Lily Hu, Matthias Ihme, Qing Wang, John Burge, Tianjian Lu, Jason Hickey, Yi-Fan Chen, John R. Anderson
2020	J	`jnl`	Large-Scale Discrete Fourier Transform on TPUs. CoRR Tianjian Lu, Yi-Fan Chen, Blake A. Hechtman, Tao Wang, John R. Anderson
2020	Misc	`conf`	Large-Scale Weakly-Supervised Content Embeddings for Music Recommendation and Tagging. ICASSP Qingqing Huang, Aren Jansen, Li Zhang, Daniel P. W. Ellis, Rif A. Saurous, John R. Anderson
2020	A	`conf`	Neural Collaborative Filtering vs. Matrix Factorization Revisited. RecSys Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson
2020	J	`jnl`	Neural Collaborative Filtering vs. Matrix Factorization Revisited. CoRR Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson
2020	J	`jnl`	Reconstructing fine-grained cognition from brain activity. NeuroImage John R. Anderson, Shawn A. Betts, Jon M. Fincham, Ryan M. Hope, Mathew W. Walsh
2020	J	`jnl`	Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow. CoRR Francois Belletti, Davis King, James Lottes, Yi-Fan Chen, John R. Anderson
2020	J	`jnl`	Superbloom: Bloom filter meets Transformer. CoRR John R. Anderson, Qingqing Huang, Walid Krichene, Steffen Rendle, Li Zhang
2020	—	`conf`	Tensor Processing Units for Financial Monte Carlo. PP Francois Belletti, Davis King, Kun Yang, Roland Nelet, Yusef Shafi, Yi-Fan Shen, John R. Anderson
2020	A	`conf`	Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CIKM Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao
2020	J	`jnl`	Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CoRR Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao
2019	—	`conf`	Efficient Training on Very Large Corpora via Gramian Estimation. ICLR (Poster) Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson
2019	J	`jnl`	High Performance Monte Carlo Simulation of Ising Model on TPU Clusters. CoRR Kun Yang, Yi-Fan Chen, George Roumpos, Chris Colby, John R. Anderson
2019	A	`conf`	High performance Monte Carlo simulation of ising model on TPU clusters. SC Kun Yang, Yi-Fan Chen, Georgios Roumpos, Chris Colby, John R. Anderson
2019	J	`jnl`	High-resolution imaging on TPUs. CoRR Fantine Huot, Yi-Fan Chen, Robert G. Clapp, Carlos Boneti, John R. Anderson
2019	J	`jnl`	Scalable Realistic Recommendation Datasets through Fractal Expansions. CoRR Francois Belletti, Karthik Lakshmanan, Walid Krichene, Yi-Fan Chen, John R. Anderson
2019	J	`jnl`	Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions. CoRR Francois Belletti, Karthik Lakshmanan, Walid Krichene, Nicolas Mayoraz, Yi-Fan Chen, John R. Anderson, Taylor Robie, Tayo Oguntebi, Dan Shirron, Amit Bleiwess
2019	B	`conf`	Skill Acquisition in a Dynamic Collaborative Task. CogSci Cvetomir Dimov, John R. Anderson, Shawn A. Betts, Daniel Bothell
2019	J	`jnl`	Tensor Processing Units for Financial Monte Carlo. CoRR Francois Belletti, Davis King, Kun Yang, Roland Nelet, Yusef Shafi, Yi-Fan Chen, John R. Anderson
2018	J	`jnl`	Efficient Training on Very Large Corpora via Gramian Estimation. CoRR Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson
2018	J	`jnl`	Mapping working memory retrieval in space and in time: A combined electroencephalography and electrocorticography approach. NeuroImage Qiong Zhang, Marieke K. van Vugt, Jelmer P. Borst, John R. Anderson
2017	B	`conf`	A Spatial-Temporal Analysis of a Visual Working Memory Task with EEG and ECoG. CogSci Qiong Zhang, Marieke K. van Vugt, Jelmer P. Borst, John R. Anderson
2017	A*	`conf`	Beyond Globally Optimal: Focused Learning for Improved Recommendations. WWW Alex Beutel, Ed Huai-hsin Chi, Zhiyuan Cheng, Hubert Pham, John R. Anderson
2017	A	`conf`	Folding: Why Good Models Sometimes Make Spurious Recommendations. RecSys Doris Xin, Nicolas Mayoraz, Hubert Pham, Karthik Lakshmanan, John R. Anderson
2017	J	`jnl`	Interactive Task Learning. IEEE Intell. Syst. 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, James R. Kirk
2017	J	`jnl`	The Effects of Probe Similarity on Retrieval and Comparison Processes in Associative Recognition. J. Cogn. Neurosci. Qiong Zhang, Matthew M. Walsh, John R. Anderson
2017	B	`conf`	The impact of practice frequency on learning and retention. CogSci Caitlin Tenison, John R. Anderson
2017	J	`jnl`	When math operations have visuospatial meanings versus purely symbolic definitions: Which solving stages and brain regions are affected? NeuroImage Aryn Pyke, Jon M. Fincham, John R. Anderson
2016	B	`conf`	From computation to automization: How practice alters initial neural response to familiar arithmetic problems. CogSci Caitlin Tenison, John R. Anderson
2016	J	`jnl`	Learning Problem-Solving Rules as Search Through a Hypothesis Space. Cogn. Sci. Hee Seung Lee, Shawn A. Betts, John R. Anderson
2016	J	`jnl`	Tracking cognitive processing stages with MEG: A spatio-temporal model of associative recognition in the brain. NeuroImage Jelmer P. Borst, Avniel Singh Ghuman, John R. Anderson
2015	B	`conf`	An ACT-R Model of the Choose-Short Effect in Time and Length. CogSci Jung Aa Moon, John R. Anderson
2015	B	`conf`	Consistency in Brain Activation Predicts Success in Transfer. CogSci Qiong Zhang, John R. Anderson, Robert E. Kass
2015	J	`jnl`	The discovery of processing stages: Analyzing EEG data with hidden semi-Markov models. NeuroImage Jelmer P. Borst, John R. Anderson
2014	B	`conf`	Detecting Changes in Math Strategy Use During Learning. CogSci Caitlin Tenison, John R. Anderson
2014	J	`jnl`	Discovering the Sequential Structure of Thought. Cogn. Sci. John R. Anderson, Jon M. Fincham
2014	J	`jnl`	Discovering the structure of mathematical problem solving. NeuroImage John R. Anderson, Hee Seung Lee, Jon M. Fincham
2013	J	`jnl`	A Functional Model of Sensemaking in a Neurocognitive Architecture. Comput. Intell. Neurosci. Christian Lebiere, Peter Pirolli, Robert Thomson, Jaehyon Paik, Matthew Rutledge-Taylor, James Staszewski, John R. Anderson
2013	B	`conf`	Acquiring Basic Skills in Changing Task Environments: Transfer of Working Memory Updating. CogSci Trudy Buwalda, Aryn Pyke, Shawn A. Betts, Niels Taatgen, John R. Anderson
2013	B	`conf`	Discovering Processing Stages by combining EEG with Hidden Markov Models. CogSci Jelmer P. Borst, John R. Anderson
2013	B	`conf`	Discovering the Structure of Mathematical Problem Solving. EDM John R. Anderson
2013	J	`jnl`	Electrophysiological Responses to Feedback during the Application of Abstract Rules. J. Cogn. Neurosci. Matthew M. Walsh, John R. Anderson
2013	J	`jnl`	Stages of Processing in Associative Recognition: Evidence from Behavior, EEG, and Classification. J. Cogn. Neurosci. Jelmer P. Borst, Darryl W. Schneider, Matthew M. Walsh, John R. Anderson
2012	B	`conf`	Modeling Millisecond Time Interval Estimation in Space Fortress Game. CogSci Jung Aa Moon, John R. Anderson
2012	J	`jnl`	Using brain imaging to track problem solving in a complex state space. NeuroImage John R. Anderson, Jon M. Fincham, Darryl W. Schneider, Jian Yang
2011	J	`jnl`	Brain Regions Engaged by Part- and Whole-task Performance in a Video Game: A Model-based Test of the Decomposition Hypothesis. J. Cogn. Neurosci. John R. Anderson, Daniel Bothell, Jon M. Fincham, Abraham R. Anderson, Ben Poole, Yulin Qin
2011	—	`conf`	Bridging the gap: A neurally plausible functional model of sensemaking. BICA Matthew Rutledge-Taylor, Christian Lebiere, Yury Vinokurov, James Staszewski, John R. Anderson
2011	J	`jnl`	Using Brain Imaging to Interpret Student Problem Solving. IEEE Intell. Syst. John R. Anderson, Shawn A. Betts, Jennifer L. Ferris, Jon M. Fincham, Jian Yang
2011	B	`conf`	Using a Cognitive Model to Provide Instruction for a Dynamic Task. CogSci Jung Aa Moon, Daniel Bothell, John R. Anderson
2011	B	`conf`	When does provision of instruction promote learning? CogSci Hee Seung Lee, Abraham R. Anderson, Shawn A. Betts, John R. Anderson
2010	J	`jnl`	The Past, Present, and Future of Cognitive Architectures. Top. Cogn. Sci. Niels Taatgen, John R. Anderson
2010	—	`conf`	The Role of the Basal Ganglia - Anterior Prefrontal Circuit as a Biological Instruction Interpreter. BICA Andrea Stocco, Christian Lebiere, Randall C. O'Reilly, John R. Anderson
2010	B	`conf`	Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System. EDM Jon M. Fincham, John R. Anderson, Shawn A. Betts, Jennifer L. Ferris
2008	J	`jnl`	Beyond red states and blue states in cognitive science. J. Exp. Theor. Artif. Intell. David J. Jilk, Christian Lebiere, Randall C. O'Reilly, John R. Anderson
2008	J	`jnl`	Endogenous Control and Task Representation: An fMRI Study in Algebraic Problem-solving. J. Cogn. Neurosci. Andrea Stocco, John R. Anderson
2008	J	`jnl`	SAL: an explicitly pluralistic cognitive architecture. J. Exp. Theor. Artif. Intell. David J. Jilk, Christian Lebiere, Randall C. O'Reilly, John R. Anderson
2008	—	`conf`	The SAL Integrated Cognitive Architecture. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures Christian Lebiere, Randall C. O'Reilly, David J. Jilk, Niels Taatgen, John R. Anderson
2008	J	`jnl`	Using Brain Imaging to Extract the Structure of Complex Events at the Rational Time Band. J. Cogn. Neurosci. John R. Anderson, Yulin Qin
2008	J	`jnl`	Using fMRI to Test Models of Complex Cognition. Cogn. Sci. John R. Anderson, Cameron S. Carter, Jon M. Fincham, Yulin Qin, Susan M. Ravizza, Miriam Rosenberg-Lee
2007	J	`jnl`	The roles of prefrontal and posterior parietal cortex in algebra problem solving: A case of using cognitive modeling to inform neuroimaging data. NeuroImage Jared F. Danker, John R. Anderson
2007	—	`ch.`	Using Brain Imaging to Guide the Development of a Cognitive Architecture. Integrated Models of Cognitive Systems John R. Anderson
2006	—	`conf`	ACT-R Meets fMRI. WImBI Yulin Qin, Daniel Bothell, John R. Anderson
2006	J	`jnl`	Toward a real-time model-based training system. Interact. Comput. Wai-Tat Fu, Daniel Bothell, Scott Douglass, Craig Haimson, Myeong-Ho Sohn, John R. Anderson
2005	J	`jnl`	An information-processing model of three cortical regions: evidence in episodic memory retrieval. NeuroImage Myeong-Ho Sohn, Adam Goode, V. Andrew Stenger, Kwan-Jin Jung, Cameron S. Carter, John R. Anderson
2005	J	`jnl`	Characteristics of Fluent Skills in a Complex, Dynamic Problem-Solving Task. Hum. Factors Myeong-Ho Sohn, Scott Douglass, Mon-Chu Chen, John R. Anderson
2005	J	`jnl`	Human Symbol Manipulation Within an Integrated Cognitive Architecture. Cogn. Sci. John R. Anderson
2005	J	`jnl`	Practice and Forgetting Effects on Vocabulary Memory: An Activation-Based Model of the Spacing Effect. Cogn. Sci. Philip I. Pavlik Jr., John R. Anderson
2005	J	`jnl`	Tracing Problem Solving in Real Time: fMRI Analysis of the Subject-paced Tower of Hanoi. J. Cogn. Neurosci. John R. Anderson, Mark V. Albert, Jon M. Fincham
2004	—	`conf`	An ACT-R Model of Memory Applied to Finding the Optimal Schedule of Practice. ICCM Philip I. Pavlik Jr., John R. Anderson
2004	J	`jnl`	Interpretation-based processing: a unified theory of semantic sentence comprehension. Cogn. Sci. Raluca Budiu, John R. Anderson
2004	—	`conf`	Learning Real-time Over-the-shoulder Instructions in a Dynamic Task. ICCM Wai-Tat Fu, Daniel Bothell, Scott Douglass, Craig Haimson, Myeong-Ho Sohn, John R. Anderson
2004	J	`jnl`	Orientation Tasks with Multiple Views of Space: Strategies and Performance. Spatial Cogn. Comput. Glenn Gunzelmann, John R. Anderson, Scott Douglass
2004	J	`jnl`	Partitioning Visual Displays Aids Task-Directed Visual Search. Hum. Factors Craig Haimson, Daniel Bothell, Scott A. Douglass, John R. Anderson
2004	—	`conf`	Time Perception: Beyond Simple Interval Estimation. ICCM Niels Taatgen, Hedderik van Rijn, John R. Anderson
2003	J	`jnl`	Problem solving: Increased planning with practice. Cogn. Syst. Res. Glenn Gunzelmann, John R. Anderson
2002	J	`jnl`	Spanning seven orders of magnitude: a challenge for cognitive modeling. Cogn. Sci. John R. Anderson
2001	J	`jnl`	Automated Eye-Movement Protocol Analysis. Hum. Comput. Interact. Dario D. Salvucci, John R. Anderson
2001	J	`jnl`	Integrating analogical mapping and general problem solving: the path-mapping theory. Cogn. Sci. Dario D. Salvucci, John R. Anderson
2001	A*	`conf`	Locus of feedback control in computer-based tutoring: impact on learning rate, achievement and attitudes. CHI Albert T. Corbett, John R. Anderson
2001	—	`conf`	What can a mouse cursor tell us more?: correlation of eye/mouse movements on web browsing. CHI Extended Abstracts Mon-Chu Chen, John R. Anderson, Myeong-Ho Sohn
2000	A*	`conf`	Achieving Efficient and Cognitively Plausible Learning in Backgammon. ICML Scott Sanner, John R. Anderson, Christian Lebiere, Marsha C. Lovett
2000	B	`conf`	Broader Bandwidth in Student Modeling: What if ITS were "Eye"TS? Intelligent Tutoring Systems Kevin A. Gluck, John R. Anderson, Scott Douglass
2000	A*	`conf`	Intelligent gaze-added interfaces. CHI Dario D. Salvucci, John R. Anderson
1999	A*	`conf`	Eye Tracking the Visual Search of Click-Down Menus. CHI Michael D. Byrne, John R. Anderson, Scott Douglass, Michael Matessa
1999	J	`jnl`	The generality/specificity of expertise in scientific reasoning. Cogn. Sci. Christian D. Schunn, John R. Anderson
1999	—	`conf`	Third generation computer tutors: learn from or ignore human tutors? CHI Extended Abstracts Albert T. Corbett, John R. Anderson, Arthur C. Graesser, Kenneth R. Koedinger, Kurt VanLehn
1998	—	`conf`	ACT-R Electronic Bookshelf: An Adaptive System to Support LearningACT-R on the Web. WebNet Peter Brusilovsky, John R. Anderson
1998	B	`conf`	Deconstructing a Computer-Based Tutor: Striving for Better Learning Efficiency in Stat Lady. Intelligent Tutoring Systems Kevin A. Gluck, Valerie J. Shute, John R. Anderson, Marsha C. Lovett
1998	J	`jnl`	Illustrating Principled Design: The Early Evolution of a Cognitive Tutor for Algebra Symbolization. Interact. Learn. Environ. Kenneth R. Koedinger, John R. Anderson
1998	B	`conf`	Instructional Applications of ACT: Past, Present, and Future. Intelligent Tutoring Systems John R. Anderson
1997	J	`jnl`	ACT-R: A Theory of Higher Level Cognition and Its Relation to Visual Attention. Hum. Comput. Interact. John R. Anderson, Michael Matessa, Christian Lebiere
1997	—	`conf`	digital Smoke. SIGGRAPH Visual Proceedings John R. Anderson
1996	J	`jnl`	Transfer of Declarative Knowledge in Complex Information-Processing Domains. Hum. Comput. Interact. Léon Harvey, John R. Anderson
1995	J	`jnl`	Knowledge Tracing: Modelling the Acquisition of Procedural Knowledge. User Model. User Adapt. Interact. Albert T. Corbett, John R. Anderson
1993	J	`jnl`	Strategy Choice and Change in Programming. Int. J. Man Mach. Stud. Quanfeng Wu, John R. Anderson
1992	J	`jnl`	Explorations of an Incremental, Bayesian Algorithm for Categorization. Mach. Learn. John R. Anderson, Michael Matessa
1992	B	`conf`	Intelligent Tutoring and High School Mathematics. Intelligent Tutoring Systems John R. Anderson
1992	—	`conf`	Knowledge Transfer among Programming Languages. PPIG (2) Quanfeng Wu, John R. Anderson
1992	B	`conf`	Student Modeling and Mastery Learning in a Computer-Based Proramming Tutor. Intelligent Tutoring Systems Albert T. Corbett, John R. Anderson
1992	B	`conf`	The Advantages of Data Flow Diagrams for Beginning Programming. Intelligent Tutoring Systems K. S. R. Anjaneyulu, John R. Anderson
1990	—	`conf`	A Rational Analysis of Categorization. ML John R. Anderson, Michael Matessa
1990	J	`jnl`	Abstract Planning and Perceptual Chunks: Elements of Expertise in Geometry. Cogn. Sci. Kenneth R. Koedinger, John R. Anderson
1990	J	`jnl`	Cognitive Modeling and Intelligent Tutoring. Artif. Intell. John R. Anderson, C. Franklin Boyle, Albert T. Corbett, Matthew W. Lewis
1989	J	`jnl`	A Theory of the Origins of Human Knowledge. Artif. Intell. John R. Anderson
1989	J	`jnl`	Debugging: An Analysis of Bug-Location Strategies (Abstract Only). ACM SIGCHI Bull. Irvin R. Katz, John R. Anderson
1989	J	`jnl`	Skill Acquisition and the LISP Tutor. Cogn. Sci. John R. Anderson, Frederick G. Conrad, Albert T. Corbett
1988	J	`jnl`	A Keystroke Analysis of Learning and Transfer in Text Editing. ACM SIGCHI Bull. Mark K. Singley, John R. Anderson
1987	J	`jnl`	A Keystroke Analysis of Learning and Transfer in Text Editing. Hum. Comput. Interact. Mark K. Singley, John R. Anderson
1987	J	`jnl`	Debugging: An Analysis of Bug-Location Strategies. Hum. Comput. Interact. Irvin R. Katz, John R. Anderson
1987	J	`jnl`	Learning Flow of Control: Recursive and lterative Procedures. ACM SIGCHI Bull. Claudius M. Kessler, John R. Anderson
1986	J	`jnl`	Learning Flow of Control: Recursive and Iterative Procedures. Hum. Comput. Interact. Claudius M. Kessler, John R. Anderson
1986	J	`jnl`	The Automated Tutoring of Introductory Computer Programming. Commun. ACM John R. Anderson, Edward Skwarecki
1985	A*	`conf`	Dynamic Student Modelling in an Intelligent Tutor for LISP Programming. IJCAI Brian J. Reiser, John R. Anderson, Robert G. Farrell
1985	J	`jnl`	Novice LISP Errors: Undetected Losses of Information from Working Memory. Hum. Comput. Interact. John R. Anderson, Robin Jeffries
1985	A*	`conf`	The Geometry Tutor. IJCAI John R. Anderson, C. Franklin Boyle, Gregg Yost
1985	J	`jnl`	The Transfer of Text-Editing Skill. Int. J. Man Mach. Stud. Mark K. Singley, John R. Anderson
1984	A*	`conf`	An Interactive Computer-Based Tutor for LISP. AAAI Robert G. Farrell, John R. Anderson, Brian J. Reiser
1984	J	`jnl`	Cognitive Psychology. Artif. Intell. John R. Anderson
1984	J	`jnl`	Learning to Program in LISP. Cogn. Sci. John R. Anderson, Robert G. Farrell, Ron Sauers
1984	—	`book`	Machine learning - an artificial intelligence approach. Ryszard S. Michalski, John R. Anderson
1983	A*	`conf`	Learning to Program. IJCAI John R. Anderson
1981	A*	`conf`	A Theory of Language Acquisition Based on General Learning Principles. IJCAI John R. Anderson
1981	A*	`conf`	Tuning of Search of the Problem Space for Geometry Proofs. IJCAI John R. Anderson
1979	A*	`conf`	A Learning System and Its Psychological Implications. IJCAI John R. Anderson, Paul J. Kline
1979	A*	`conf`	Use of Thematic Information to Speed Search of Semantic Nets. IJCAI Lynne M. Reder, John R. Anderson
1978	—	`conf`	The Processing of Referring Expressions within a Semantic Network. TINLAP John R. Anderson
1977	J	`jnl`	Design of a production system for cognitive modeling. SIGART Newsl. John R. Anderson, Paul J. Kline
1977	J	`jnl`	Induction of Augmented Transition Networks. Cogn. Sci. John R. Anderson
1956	J	`jnl`	A New Type of Ferroelectric Shift Register. IRE Trans. Electron. Comput. John R. Anderson