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ORCIDJohn R. Anderson
John Robert Anderson
Person information
- affiliation: Carnegie Mellon University, Department of Psychology, Pittsburgh, PA, USA
- award (2011): Benjamin Franklin Medal
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2020 – today
- 2024
[j66]John R. Anderson
, Shawn A. Betts, Daniel Bothell, Cvetomir Dimov, Jon M. Fincham:
Tracking the Cognitive Band in an Open-Ended Task. Cogn. Sci. 48(5) (2024)- [j65]Cvetomir Dimov, John R. Anderson, Shawn A. Betts:
Tight resource-rational analysis. Cogn. Syst. Res. 86: 101239 (2024) - [i16]Ignacio Lopez-Gomez, Zhong Yi Wan, Leonardo Zepeda-Núñez, Tapio Schneider, John R. Anderson, Fei Sha:
Dynamical-generative downscaling of climate model ensembles. CoRR abs/2410.01776 (2024) - 2023
- [j64]Cvetomir Dimov, John R. Anderson, Shawn A. Betts, Daniel Bothell:
An Integrated Model of Collaborative Skill Acquisition: Anticipation, Control Tuning, and Role Adoption. Cogn. Sci. 47(7) (2023) - [i15]Sheide Chammas, Qing Wang, Tapio Schneider, Matthias Ihme, Yi-Fan Chen, John R. Anderson:
Accelerating large-eddy simulations of clouds with Tensor Processing Units. CoRR abs/2301.04698 (2023) - [i14]Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Núñez, James Lottes, Qing Wang, Yi-Fan Chen, John Robert Anderson, Fei Sha:
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations. CoRR abs/2306.01174 (2023) - 2022
- [j63]Qing Wang, Matthias Ihme, Yi-Fan Chen, John R. Anderson:
A TensorFlow simulation framework for scientific computing of fluid flows on tensor processing units. Comput. Phys. Commun. 274: 108292 (2022) - 2021
- [j62]Tianjian Lu, Yi-Fan Chen, Blake A. Hechtman, Tao Wang, John R. Anderson:
Large-Scale Discrete Fourier Transform on TPUs. IEEE Access 9: 93422-93432 (2021) - [i13]Qing Wang, Matthias Ihme, Yi-Fan Chen, John R. Anderson:
A TensorFlow Simulation Framework for Scientific Computing of Fluid Flows on Tensor Processing Units. CoRR abs/2108.11076 (2021) - 2020
- [j61]John R. Anderson, Shawn A. Betts, Jon M. Fincham, Ryan M. Hope, Mathew W. Walsh:
Reconstructing fine-grained cognition from brain activity. NeuroImage 221: 116999 (2020) - [c55]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:
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CIKM 2020: 2821-2828 - [c54]Qingqing Huang, Aren Jansen, Li Zhang, Daniel P. W. Ellis, Rif A. Saurous, John R. Anderson:
Large-Scale Weakly-Supervised Content Embeddings for Music Recommendation and Tagging. ICASSP 2020: 8364-8368 - [c53]Francois Belletti, Davis King, Kun Yang, Roland Nelet, Yusef Shafi, Yi-Fan Shen, John R. Anderson:
Tensor Processing Units for Financial Monte Carlo. PP 2020: 12-23 - [c52]Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson:
Neural Collaborative Filtering vs. Matrix Factorization Revisited. RecSys 2020: 240-248 - [i12]Francois Belletti, Davis King, James Lottes, Yi-Fan Chen, John R. Anderson:
Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow. CoRR abs/2002.02481 (2020) - [i11]Tianjian Lu, Yi-Fan Chen, Blake A. Hechtman, Tao Wang, John R. Anderson:
Large-Scale Discrete Fourier Transform on TPUs. CoRR abs/2002.03260 (2020) - [i10]John R. Anderson, Qingqing Huang, Walid Krichene, Steffen Rendle, Li Zhang:
Superbloom: Bloom filter meets Transformer. CoRR abs/2002.04723 (2020) - [i9]Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson:
Neural Collaborative Filtering vs. Matrix Factorization Revisited. CoRR abs/2005.09683 (2020) - [i8]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:
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CoRR abs/2008.02930 (2020) - [i7]Fantine Huot, R. Lily Hu, Matthias Ihme, Qing Wang, John Burge, Tianjian Lu, Jason Hickey, Yi-Fan Chen, John R. Anderson:
Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data. CoRR abs/2010.07445 (2020)
2010 – 2019
- 2019
- [c51]Cvetomir Dimov, John R. Anderson, Shawn A. Betts, Daniel Bothell:
Skill Acquisition in a Dynamic Collaborative Task. CogSci 2019: 3263 - [c50]Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson:
Efficient Training on Very Large Corpora via Gramian Estimation. ICLR (Poster) 2019 - [c49]Kun Yang, Yi-Fan Chen, Georgios Roumpos, Chris Colby, John R. Anderson:
High performance Monte Carlo simulation of ising model on TPU clusters. SC 2019: 83:1-83:15 - [i6]Francois Belletti, Karthik Lakshmanan, Walid Krichene, Yi-Fan Chen, John R. Anderson:
Scalable Realistic Recommendation Datasets through Fractal Expansions. CoRR abs/1901.08910 (2019) - [i5]Kun Yang, Yi-Fan Chen, George Roumpos, Chris Colby, John R. Anderson:
High Performance Monte Carlo Simulation of Ising Model on TPU Clusters. CoRR abs/1903.11714 (2019) - [i4]Francois Belletti, Karthik Lakshmanan, Walid Krichene, Nicolas Mayoraz, Yi-Fan Chen, John R. Anderson, Taylor Robie, Tayo Oguntebi, Dan Shirron, Amit Bleiwess:
Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions. CoRR abs/1905.09874 (2019) - [i3]Francois Belletti, Davis King, Kun Yang, Roland Nelet, Yusef Shafi, Yi-Fan Chen, John R. Anderson:
Tensor Processing Units for Financial Monte Carlo. CoRR abs/1906.02818 (2019) - [i2]Fantine Huot, Yi-Fan Chen, Robert G. Clapp, Carlos Boneti, John R. Anderson:
High-resolution imaging on TPUs. CoRR abs/1912.08063 (2019) - 2018
- [j60]Qiong Zhang, Marieke K. van Vugt, Jelmer P. Borst, John R. Anderson:
Mapping working memory retrieval in space and in time: A combined electroencephalography and electrocorticography approach. NeuroImage 174: 472-484 (2018) - [i1]Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson:
Efficient Training on Very Large Corpora via Gramian Estimation. CoRR abs/1807.07187 (2018) - 2017
- [j59]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:
Interactive Task Learning. IEEE Intell. Syst. 32(4): 6-21 (2017) - [j58]Qiong Zhang, Matthew M. Walsh, John R. Anderson:
The Effects of Probe Similarity on Retrieval and Comparison Processes in Associative Recognition. J. Cogn. Neurosci. 29(2): 352-367 (2017) - [j57]Aryn Pyke, Jon M. Fincham, John R. Anderson:
When math operations have visuospatial meanings versus purely symbolic definitions: Which solving stages and brain regions are affected? NeuroImage 153: 319-335 (2017) - [c48]Caitlin Tenison, John R. Anderson:
The impact of practice frequency on learning and retention. CogSci 2017 - [c47]Qiong Zhang, Marieke K. van Vugt, Jelmer P. Borst, John R. Anderson:
A Spatial-Temporal Analysis of a Visual Working Memory Task with EEG and ECoG. CogSci 2017 - [c46]Doris Xin, Nicolas Mayoraz, Hubert Pham, Karthik Lakshmanan, John R. Anderson:
Folding: Why Good Models Sometimes Make Spurious Recommendations. RecSys 2017: 201-209 - [c45]Alex Beutel, Ed Huai-hsin Chi, Zhiyuan Cheng, Hubert Pham, John R. Anderson:
Beyond Globally Optimal: Focused Learning for Improved Recommendations. WWW 2017: 203-212 - 2016
- [j56]Hee Seung Lee, Shawn A. Betts, John R. Anderson:
Learning Problem-Solving Rules as Search Through a Hypothesis Space. Cogn. Sci. 40(5): 1036-1079 (2016) - [j55]Jelmer P. Borst, Avniel Singh Ghuman, John R. Anderson:
Tracking cognitive processing stages with MEG: A spatio-temporal model of associative recognition in the brain. NeuroImage 141: 416-430 (2016) - [c44]Caitlin Tenison, John R. Anderson:
From computation to automization: How practice alters initial neural response to familiar arithmetic problems. CogSci 2016 - 2015
- [j54]Jelmer P. Borst, John R. Anderson:
The discovery of processing stages: Analyzing EEG data with hidden semi-Markov models. NeuroImage 108: 60-73 (2015) - [c43]Jung Aa Moon, John R. Anderson:
An ACT-R Model of the Choose-Short Effect in Time and Length. CogSci 2015 - [c42]Qiong Zhang, John R. Anderson, Robert E. Kass:
Consistency in Brain Activation Predicts Success in Transfer. CogSci 2015 - 2014
- [j53]John R. Anderson, Jon M. Fincham:
Discovering the Sequential Structure of Thought. Cogn. Sci. 38(2): 322-352 (2014) - [j52]John R. Anderson, Hee Seung Lee, Jon M. Fincham:
Discovering the structure of mathematical problem solving. NeuroImage 97: 163-177 (2014) - [c41]Caitlin Tenison, John R. Anderson:
Detecting Changes in Math Strategy Use During Learning. CogSci 2014 - 2013
- [j51]Christian Lebiere, Peter Pirolli, Robert Thomson, Jaehyon Paik, Matthew Rutledge-Taylor, James Staszewski, John R. Anderson:
A Functional Model of Sensemaking in a Neurocognitive Architecture. Comput. Intell. Neurosci. 2013: 921695:1-921695:29 (2013) - [j50]Matthew M. Walsh, John R. Anderson:
Electrophysiological Responses to Feedback during the Application of Abstract Rules. J. Cogn. Neurosci. 25(11): 1986-2002 (2013) - [j49]Jelmer P. Borst, Darryl W. Schneider, Matthew M. Walsh, John R. Anderson:
Stages of Processing in Associative Recognition: Evidence from Behavior, EEG, and Classification. J. Cogn. Neurosci. 25(12): 2151-2166 (2013) - [c40]Jelmer P. Borst, John R. Anderson:
Discovering Processing Stages by combining EEG with Hidden Markov Models. CogSci 2013 - [c39]Trudy Buwalda, Aryn Pyke, Shawn A. Betts, Niels Taatgen, John R. Anderson:
Acquiring Basic Skills in Changing Task Environments: Transfer of Working Memory Updating. CogSci 2013 - [c38]John R. Anderson:
Discovering the Structure of Mathematical Problem Solving. EDM 2013: 2 - 2012
- [j48]John R. Anderson, Jon M. Fincham, Darryl W. Schneider, Jian Yang:
Using brain imaging to track problem solving in a complex state space. NeuroImage 60(1): 633-643 (2012) - [c37]Jung Aa Moon, John R. Anderson:
Modeling Millisecond Time Interval Estimation in Space Fortress Game. CogSci 2012 - 2011
- [j47]John R. Anderson, Shawn A. Betts, Jennifer L. Ferris, Jon M. Fincham, Jian Yang:
Using Brain Imaging to Interpret Student Problem Solving. IEEE Intell. Syst. 26(5): 22-29 (2011) - [j46]John R. Anderson, Daniel Bothell, Jon M. Fincham, Abraham R. Anderson, Ben Poole, Yulin 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. 23(12): 3983-3997 (2011) - [c36]Matthew Rutledge-Taylor, Christian Lebiere, Yury Vinokurov, James Staszewski, John R. Anderson:
Bridging the gap: A neurally plausible functional model of sensemaking. BICA 2011: 331-340 - [c35]Hee Seung Lee, Abraham R. Anderson, Shawn A. Betts, John R. Anderson:
When does provision of instruction promote learning? CogSci 2011 - [c34]Jung Aa Moon, Daniel Bothell, John R. Anderson:
Using a Cognitive Model to Provide Instruction for a Dynamic Task. CogSci 2011 - 2010
- [j45]Niels Taatgen, John R. Anderson:
The Past, Present, and Future of Cognitive Architectures. Top. Cogn. Sci. 2(4): 693-704 (2010) - [c33]Andrea Stocco, Christian Lebiere, Randall C. O'Reilly, John R. Anderson:
The Role of the Basal Ganglia - Anterior Prefrontal Circuit as a Biological Instruction Interpreter. BICA 2010: 153-162 - [c32]Jon M. Fincham, John R. Anderson, Shawn A. Betts, Jennifer L. Ferris:
Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System. EDM 2010: 51-60
2000 – 2009
- 2009
- [c31]Andrea Stocco, Christian Lebiere, John Robert Anderson:
Dopamine, Learning, and Production Rules: The Basal Ganglia and the Flexible Control of Information Transfer in the Brain. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2009 - 2008
- [j44]John R. Anderson, Cameron S. Carter, Jon M. Fincham, Yulin Qin, Susan M. Ravizza, Miriam Rosenberg-Lee:
Using fMRI to Test Models of Complex Cognition. Cogn. Sci. 32(8): 1323-1348 (2008) - [j43]David J. Jilk, Christian Lebiere, Randall C. O'Reilly, John R. Anderson:
SAL: an explicitly pluralistic cognitive architecture. J. Exp. Theor. Artif. Intell. 20(3): 197-218 (2008) - [j42]David J. Jilk, Christian Lebiere, Randall C. O'Reilly, John R. Anderson:
Beyond red states and blue states in cognitive science. J. Exp. Theor. Artif. Intell. 20(3): 265-268 (2008) - [j41]Andrea Stocco, John R. Anderson:
Endogenous Control and Task Representation: An fMRI Study in Algebraic Problem-solving. J. Cogn. Neurosci. 20(7): 1300-1314 (2008) - [j40]John R. Anderson, Yulin Qin:
Using Brain Imaging to Extract the Structure of Complex Events at the Rational Time Band. J. Cogn. Neurosci. 20(9): 1624-1636 (2008) - [c30]Christian Lebiere, Randall C. O'Reilly, David J. Jilk, Niels Taatgen, John R. Anderson:
The SAL Integrated Cognitive Architecture. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2008: 98-104 - 2007
- [j39]Jared F. Danker, John 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 35(3): 1365-1377 (2007) - [p1]John R. Anderson:
Using Brain Imaging to Guide the Development of a Cognitive Architecture. Integrated Models of Cognitive Systems 2007: 49-62 - 2006
- [j38]Wai-Tat Fu, Daniel Bothell, Scott Douglass, Craig Haimson, Myeong-Ho Sohn, John R. Anderson:
Toward a real-time model-based training system. Interact. Comput. 18(6): 1215-1241 (2006) - [c29]Yulin Qin, Daniel Bothell, John R. Anderson:
ACT-R Meets fMRI. WImBI 2006: 205-222 - 2005
- [j37]John R. Anderson:
Human Symbol Manipulation Within an Integrated Cognitive Architecture. Cogn. Sci. 29(3): 313-341 (2005) - [j36]Philip I. Pavlik Jr., John R. Anderson:
Practice and Forgetting Effects on Vocabulary Memory: An Activation-Based Model of the Spacing Effect. Cogn. Sci. 29(4): 559-586 (2005) - [j35]Myeong-Ho Sohn, Scott Douglass, Mon-Chu Chen, John R. Anderson:
Characteristics of Fluent Skills in a Complex, Dynamic Problem-Solving Task. Hum. Factors 47(4): 742-752 (2005) - [j34]John R. Anderson, Mark V. Albert, Jon M. Fincham:
Tracing Problem Solving in Real Time: fMRI Analysis of the Subject-paced Tower of Hanoi. J. Cogn. Neurosci. 17(8): 1261-1274 (2005) - [j33]Myeong-Ho Sohn, Adam Goode, V. Andrew Stenger, Kwan-Jin Jung, Cameron S. Carter, John R. Anderson:
An information-processing model of three cortical regions: evidence in episodic memory retrieval. NeuroImage 25(1): 21-33 (2005) - 2004
- [j32]Raluca Budiu, John R. Anderson:
Interpretation-based processing: a unified theory of semantic sentence comprehension. Cogn. Sci. 28(1): 1-44 (2004) - [j31]Craig Haimson, Daniel Bothell, Scott A. Douglass, John R. Anderson:
Partitioning Visual Displays Aids Task-Directed Visual Search. Hum. Factors 46(3): 551-566 (2004) - [j30]Glenn Gunzelmann, John R. Anderson, Scott Douglass:
Orientation Tasks with Multiple Views of Space: Strategies and Performance. Spatial Cogn. Comput. 4(3): 207-253 (2004) - [c28]Wai-Tat Fu, Daniel Bothell, Scott Douglass, Craig Haimson, Myeong-Ho Sohn, John R. Anderson:
Learning Real-time Over-the-shoulder Instructions in a Dynamic Task. ICCM 2004: 100-105 - [c27]Niels Taatgen, Hedderik van Rijn, John R. Anderson:
Time Perception: Beyond Simple Interval Estimation. ICCM 2004: 296-301 - [c26]Philip I. Pavlik Jr., John R. Anderson:
An ACT-R Model of Memory Applied to Finding the Optimal Schedule of Practice. ICCM 2004: 376-377 - 2003
- [j29]Glenn Gunzelmann, John R. Anderson:
Problem solving: Increased planning with practice. Cogn. Syst. Res. 4(1): 57-76 (2003) - 2002
- [j28]John R. Anderson:
Spanning seven orders of magnitude: a challenge for cognitive modeling. Cogn. Sci. 26(1): 85-112 (2002) - 2001
- [j27]Dario D. Salvucci, John R. Anderson:
Integrating analogical mapping and general problem solving: the path-mapping theory. Cogn. Sci. 25(1): 67-110 (2001) - [j26]Dario D. Salvucci, John R. Anderson:
Automated Eye-Movement Protocol Analysis. Hum. Comput. Interact. 16(1): 39-86 (2001) - [c25]Albert T. Corbett, John R. Anderson:
Locus of feedback control in computer-based tutoring: impact on learning rate, achievement and attitudes. CHI 2001: 245-252 - [c24]Mon-Chu Chen, John R. Anderson, Myeong-Ho Sohn:
What can a mouse cursor tell us more?: correlation of eye/mouse movements on web browsing. CHI Extended Abstracts 2001: 281-282 - 2000
- [c23]Dario D. Salvucci, John R. Anderson:
Intelligent gaze-added interfaces. CHI 2000: 273-280 - [c22]Scott Sanner, John R. Anderson, Christian Lebiere, Marsha C. Lovett:
Achieving Efficient and Cognitively Plausible Learning in Backgammon. ICML 2000: 823-830 - [c21]Kevin A. Gluck, John R. Anderson, Scott Douglass:
Broader Bandwidth in Student Modeling: What if ITS were "Eye"TS? Intelligent Tutoring Systems 2000: 504-513
1990 – 1999
- 1999
- [j25]Christian D. Schunn, John R. Anderson:
The generality/specificity of expertise in scientific reasoning. Cogn. Sci. 23(3): 337-370 (1999) - [c20]Albert T. Corbett, John R. Anderson, Arthur C. Graesser, Kenneth R. Koedinger, Kurt VanLehn:
Third generation computer tutors: learn from or ignore human tutors? CHI Extended Abstracts 1999: 85-86 - [c19]Michael D. Byrne, John R. Anderson, Scott Douglass, Michael Matessa:
Eye Tracking the Visual Search of Click-Down Menus. CHI 1999: 402-409 - 1998
- [j24]Kenneth R. Koedinger, John R. Anderson:
Illustrating Principled Design: The Early Evolution of a Cognitive Tutor for Algebra Symbolization. Interact. Learn. Environ. 5(1): 161-179 (1998) - [c18]John R. Anderson:
Instructional Applications of ACT: Past, Present, and Future. Intelligent Tutoring Systems 1998: 1 - [c17]Kevin A. Gluck, Valerie J. Shute, John R. Anderson, Marsha C. Lovett:
Deconstructing a Computer-Based Tutor: Striving for Better Learning Efficiency in Stat Lady. Intelligent Tutoring Systems 1998: 66-75 - [c16]Peter Brusilovsky, John R. Anderson:
ACT-R Electronic Bookshelf: An Adaptive System to Support LearningACT-R on the Web. WebNet 1998 - 1997
- [j23]John R. Anderson, Michael Matessa, Christian Lebiere:
ACT-R: A Theory of Higher Level Cognition and Its Relation to Visual Attention. Hum. Comput. Interact. 12(4): 439-462 (1997) - [c15]John R. Anderson:
digital Smoke. SIGGRAPH Visual Proceedings 1997: 249 - 1996
- [j22]Léon Harvey, John R. Anderson:
Transfer of Declarative Knowledge in Complex Information-Processing Domains. Hum. Comput. Interact. 11(1): 69-96 (1996) - 1995
- [j21]Albert T. Corbett, John R. Anderson:
Knowledge Tracing: Modelling the Acquisition of Procedural Knowledge. User Model. User Adapt. Interact. 4(4): 253-278 (1995) - 1993
- [j20]Quanfeng Wu, John R. Anderson:
Strategy Choice and Change in Programming. Int. J. Man Mach. Stud. 39(4): 579-598 (1993) - 1992
- [j19]John R. Anderson, Michael Matessa:
Explorations of an Incremental, Bayesian Algorithm for Categorization. Mach. Learn. 9: 275-308 (1992) - [c14]John R. Anderson:
Intelligent Tutoring and High School Mathematics. Intelligent Tutoring Systems 1992: 1-10 - [c13]Albert T. Corbett, John R. Anderson:
Student Modeling and Mastery Learning in a Computer-Based Proramming Tutor. Intelligent Tutoring Systems 1992: 413-420 - [c12]K. S. R. Anjaneyulu, John R. Anderson:
The Advantages of Data Flow Diagrams for Beginning Programming. Intelligent Tutoring Systems 1992: 585-592 - [c11]Quanfeng Wu, John R. Anderson:
Knowledge Transfer among Programming Languages. PPIG (2) 1992: 6 - 1990
- [j18]John R. Anderson, C. Franklin Boyle, Albert T. Corbett, Matthew W. Lewis:
Cognitive Modeling and Intelligent Tutoring. Artif. Intell. 42(1): 7-49 (1990) - [j17]Kenneth R. Koedinger, John R. Anderson:
Abstract Planning and Perceptual Chunks: Elements of Expertise in Geometry. Cogn. Sci. 14(4): 511-550 (1990) - [c10]John R. Anderson, Michael Matessa:
A Rational Analysis of Categorization. ML 1990: 76-84
1980 – 1989
- 1989
- [j16]John R. Anderson:
A Theory of the Origins of Human Knowledge. Artif. Intell. 40(1-3): 313-351 (1989) - [j15]John R. Anderson, Frederick G. Conrad, Albert T. Corbett:
Skill Acquisition and the LISP Tutor. Cogn. Sci. 13(4): 467-505 (1989) - [j14]Irvin R. Katz, John R. Anderson:
Debugging: An Analysis of Bug-Location Strategies (Abstract Only). ACM SIGCHI Bull. 21(1): 123 (1989) - 1988
- [j13]Mark K. Singley, John R. Anderson:
A Keystroke Analysis of Learning and Transfer in Text Editing. ACM SIGCHI Bull. 20(1): 81 (1988) - 1987
- [j12]Mark K. Singley, John R. Anderson:
A Keystroke Analysis of Learning and Transfer in Text Editing. Hum. Comput. Interact. 3(3): 223-274 (1987) - [j11]Irvin R. Katz, John R. Anderson:
Debugging: An Analysis of Bug-Location Strategies. Hum. Comput. Interact. 3(4): 351-399 (1987) - [j10]Claudius M. Kessler, John R. Anderson:
Learning Flow of Control: Recursive and lterative Procedures. ACM SIGCHI Bull. 19(1): 73-74 (1987) - 1986
- [j9]John R. Anderson, Edward Skwarecki:
The Automated Tutoring of Introductory Computer Programming. Commun. ACM 29(9): 842-849 (1986) - [j8]Claudius M. Kessler, John R. Anderson:
Learning Flow of Control: Recursive and Iterative Procedures. Hum. Comput. Interact. 2(2): 135-166 (1986) - 1985
- [j7]John R. Anderson, Robin Jeffries:
Novice LISP Errors: Undetected Losses of Information from Working Memory. Hum. Comput. Interact. 1(2): 107-131 (1985) - [j6]Mark K. Singley, John R. Anderson:
The Transfer of Text-Editing Skill. Int. J. Man Mach. Stud. 22(4): 403-423 (1985) - [c9]John R. Anderson, C. Franklin Boyle, Gregg Yost:
The Geometry Tutor. IJCAI 1985: 1-7 - [c8]Brian J. Reiser, John R. Anderson, Robert G. Farrell:
Dynamic Student Modelling in an Intelligent Tutor for LISP Programming. IJCAI 1985: 8-14 - 1984
- [b1]Ryszard S. Michalski, John R. Anderson:
Machine learning - an artificial intelligence approach. Symbolic computation, Springer 1984, ISBN 0387132988, pp. I-XI, 1-572 - [j5]John R. Anderson:
Cognitive Psychology. Artif. Intell. 23(1): 1-11 (1984) - [j4]John R. Anderson, Robert G. Farrell, Ron Sauers:
Learning to Program in LISP. Cogn. Sci. 8(2): 87-129 (1984) - [c7]Robert G. Farrell, John R. Anderson, Brian J. Reiser:
An Interactive Computer-Based Tutor for LISP. AAAI 1984: 106-109 - 1983
- [c6]John R. Anderson:
Learning to Program. IJCAI 1983: 57-62 - 1981
- [c5]John R. Anderson:
A Theory of Language Acquisition Based on General Learning Principles. IJCAI 1981: 97-103 - [c4]John R. Anderson:
Tuning of Search of the Problem Space for Geometry Proofs. IJCAI 1981: 165-170
1970 – 1979
- 1979
- [c3]John R. Anderson, Paul J. Kline:
A Learning System and Its Psychological Implications. IJCAI 1979: 16-21 - [c2]Lynne M. Reder, John R. Anderson:
Use of Thematic Information to Speed Search of Semantic Nets. IJCAI 1979: 708-710 - 1978
- [c1]John R. Anderson:
The Processing of Referring Expressions within a Semantic Network. TINLAP 1978: 51-56 - 1977
- [j3]John R. Anderson:
Induction of Augmented Transition Networks. Cogn. Sci. 1(2): 125-157 (1977) - [j2]John R. Anderson, Paul J. Kline:
Design of a production system for cognitive modeling. SIGART Newsl. 63: 60-65 (1977)
1950 – 1959
- 1956
- [j1]John R. Anderson:
A New Type of Ferroelectric Shift Register. IRE Trans. Electron. Comput. 5(4): 184-191 (1956)
Coauthor Index
Yifan Chen
aka: Yi-Fan Chen
aka: Yi-Fan Chen
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-12-01 01:15 CET by the dblp team
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