Cognitive Architectures and Learning

Phoster

Research and Development

Cognitive Architectures and Learning

Cognitive Architectures

The Architecture of Cognition by John R. Anderson, The Study of Cognitive Architecture by Zenon Pylyshyn, The Role of Cognitive Architecture in Theories of Cognition by Zenon Pylyshyn, Biologically Based Computational Models of High-level Cognition by Randall C. O’Reilly, A Survey of Bio‐inspired and Other Alternative Architectures by Dan Hammerstrom, Extending the Computational Abilities of the Procedural Learning Mechanism in ACT-R by Wai-Tat Fu and John R. Anderson, Extending Cognitive Architectures with Semantic Resources by Alessandro Oltramari and Christian Lebiere, Large Declarative Memories in ACT-R by Scott Douglass, Jerry Ball and Stuart Rodgers, Extending Cognitive Architecture with Episodic Memory by Andrew M. Nuxoll and John E. Laird, The Design of Procedural, Semantic, and Episodic Memory Systems for a Cognitive Robot by Will Dodd, Extending Cognitive Architectures with Spatial and Visual Imagery Mechanisms by Scott D. Lathrop, Multimodal Representations as Basis for Cognitive Architecture by Balakrishnan Chandrasekaran, Design and Use of a Bimodal Cognitive Architecture for Diagrammatic Reasoning and Cognitive Modeling by Unmesh Kurup, Spatial Problem Solving for Diagrammatic Reasoning by Bonny Banerjee, Integrating Constraint Satisfaction and Spatial Reasoning by Unmesh Kurup and Nicholas L. Cassimatis, Augmenting Cognitive Architectures to Support Diagrammatic Imagination by Balakrishnan Chandrasekaran, Bonny Banerjee, Unmesh Kurup and Omkar Lele, Extending Cognitive Architectures with Mental Imagery by Scott D. Lathrop and John E. Laird, Exploring the Functional Advantages of Spatial and Visual Cognition from an Architectural Perspective by Scott D. Lathrop, Samuel B. Wintermute and John E. Laird, Imagery in Cognitive Architecture: Representation and Control at Multiple Levels of Abstraction by Samuel B. Wintermute, Abstraction, Imagery, and Control in Cognitive Architecture by Samuel B. Wintermute, A Cognitive Architecture that Combines Internal Simulation with a Global Workspace by Murray Shanahan, From Episodic Memory to Narrative in a Cognitive Architecture by Tory Anderson, Towards Narrative-based Knowledge Representation in Cognitive Systems by Nicolas Szilas, An Architecture of Narrative Memory by Carlos León, Toward a Situation Model in a Cognitive Architecture by Stuart M. Rodgers, Christopher W. Myers, Jerry Ball and Mary D. Freiman and Modeling Meta-cognition in a Cognitive Architecture by Ron Sun, Xi Zhang and Robert Mathews.

Simulated Learners

Cognitive Architecture and Instructional Design by John Sweller, Jeroen J. G. Van Merrienboer and Fred G. W. C. Paas, Using a Simulated Student for Instructional Design by Joseph S. Mertz, Applications of Simulated Students: An Exploration by Kurt Vanlehn, Stellan Ohlsson and Rod Nason, Mental Workload Modeling in an Integrated Cognitive Architecture by Shi Cao and Yili Liu, Simulated Students, Mastery Learning, and Improved Learning Curves for Real-world Cognitive Tutors by Stephen E. Fancsali, Tristan Nixon, Annalies Vuong and Steven Ritter, Virtual Tutee System: A Potential Tool for Enhancing Academic Reading Engagement by SeungWon Park and ChanMin Kim, Boosting Learning-by-teaching in Virtual Tutoring by SeungWon Park and ChanMin Kim, Pedagogical Agents by George Veletsianos and Gregory S. Russell, Interoperating Learning Mechanisms in a Cognitive Architecture by Choi Dongkyu and Stellan Ohlsson, Effects of Multiple Learning Mechanisms in a Cognitive Architecture by Choi Dongkyu and Stellan Ohlsson, An Associative Memory Model for Unsupervised Sequence Processing by Stefan V. Pantazi and Jochen R. Moehr, An Integrated Model of Associative and Reinforcement Learning by Vladislav D. Veksler, Christopher W. Myers and Kevin A. Gluck, A Procedural Learning Mechanism for Novel Skill Acquisition by Sidney K. D’Mello, Uma Ramamurthy, Aregahegn Negatu and Stan Franklin, Hierarchical Skills and Cognitive Architectures by Pat Langley, Kirstin Cummings and Daniel Shapiro, Automatic Scaffolding for Procedural Learning by Erik Andersen, Integrated Learning for Interactive Synthetic Characters by Bruce Blumberg, Marc Downie, Yuri Ivanov, Matt Berlin, Michael Patrick Johnson and Bill Tomlinson, A Computational Model for Situated Task Learning with Interactive Instruction by Shiwali Mohan, James Kirk and John Laird, Learning New Tasks with Situated Interactive Instruction by Shiwali Mohan and John E. Laird, Teaching Robots New Actions through Natural Language Instructions by Lanbo She, Yu Cheng, Joyce Y. Chai, Yunyi Jia, Shaohua Yang and Ning Xi, Teachable Robots: Understanding Human Teaching Behavior to Build More Effective Robot Learners by Andrea L. Thomaz and Cynthia Breazeal, Motivation Driven Learning for Interactive Synthetic Characters by Song-Yee Yoon, Bruce M Blumberg and Gerald E Schneider and Cerebral Cortex Inspired Cognitive Architecture for Robots by A. M. Mishra.

User Modeling

User and Discourse Models for Multimodal Communication by Wolfgang Wahlster, User Models in Dialog Systems by Wolfgang Wahlster and Alfred Kobsa, The Role of Cognitive Modeling in Achieving Communicative Intentions by Marilyn A. Walker and Owen Rambow, Predicting User Mental States in Spoken Dialogue Systems by Zoraida Callejas, David Griol and Ramón López-Cózar, Utterance Interpretation and Cognitive Models edited by Philippe de Brabanter and Mikhail Kissine, Cognitive Modeling: A Linguistic Perspective by Ibáñez de Mendoza, Francisco J. Ruiz and Alicia G. Masegosa, Cognitive Modeling and Intelligent Tutoring by John R. Anderson, C. Franklin Boyle, Albert T. Corbett and Matthew W. Lewis, Student Modeling in Intelligent Tutoring Systems by Yue Gong, Mental Modeling in Conceptual Change by Nancy J. Nersessian, Knowledge Tracing: Modeling the Acquisition of Procedural Knowledge by Albert T. Corbett and John R. Anderson, Model-based Reasoning about Learner Behaviour by Kees De Koning, Bert Bredeweg, Joost Breuker and Bob Wielinga, The Power of Simulation: Imagining One’s Own and Other’s Behavior by Jean Decety and Julie Grèzes, Solving Ambiguities with Perspective Taking by Raquel Ros, Emrah Akin Sisbot, Rachid Alami, Jasmin Steinwender, Katharina Hamann and Felix Warneken, Using Perspective Taking to Learn from Ambiguous Demonstrations by Cynthia Breazeal, Matt Berlin, Andrew Brooks, Jesse Gray and Andrea L Thomaz, Perspective Taking: An Organizing Principle for Learning in Human-robot Interaction by Matt Berlin, Jesse Gray, Andrea L. Thomaz and Cynthia Breazeal, Investigating Action Understanding: Inferential Processes versus Action Simulation by Marcel Brass, Ruth M. Schmitt, Stephanie Spengler and György Gergely, Modeling Human Behavior with Integrated Cognitive Architectures edited by A. Gluck and R. Pew, Cognitive Modeling in Human-computer Interaction by Bonnie E. John, User Modeling in Human–computer Interaction by Gerhard Fischer, Applying Machine Learning to Cognitive Modeling for Cognitive Tutors by Noboru Matsuda, William W. Cohen, Jonathan Sewall and Kenneth R. Koedinger and Machine Learning for User Modeling by Geoffrey I. Webb, Michael J. Pazzani and Daniel Billsus.