Journal: topiCS

Volume 12, Issue 3

788 -- 789Wayne D. Gray. Introduction to Volume 12, Issue 3 of topiCS
790 -- 803Rafael Núñez, Michael Allen, Richard Gao, Carson Miller Rigoli, Josephine Relaford-Doyle, Arturs Semenuks. For the Sciences They Are A-Changin': A Response to Commentaries on Núñez et al.'s (2019) "What Happened to Cognitive Science?"
804 -- 814Carel ten Cate, Judit Gervain, Clara C. Levelt, Christopher I. Petkov, Willem Zuidema. Editors' Review and Introduction: Learning Grammatical Structures: Developmental, Cross-Species, and Computational Approaches
815 -- 827Judit Gervain, Irene De la Cruz-Pavía, LouAnn Gerken. Behavioral and Imaging Studies of Infant Artificial Grammar Learning
828 -- 842Christopher I. Petkov, Carel ten Cate. Structured Sequence Learning: Animal Abilities, Cognitive Operations, and Language Evolution
843 -- 858Benjamin Wilson, Michelle Spierings, Andrea Ravignani, Jutta L. Mueller, Toben H. Mintz, Frank Wijnen, Anne van der Kant, Kenny Smith, Arnaud Rey. Non-adjacent Dependency Learning in Humans and Other Animals
859 -- 874Jutta L. Mueller, Carel ten Cate, Juan M. Toro. A Comparative Perspective on the Role of Acoustic Cues in Detecting Language Structure
875 -- 893Antony S. Trotter, Padraic Monaghan, Gabriël J. L. Beckers, Morten H. Christiansen. Exploring Variation Between Artificial Grammar Learning Experiments: Outlining a Meta-Analysis Approach
894 -- 909Dina Lipkind, Andreea Geambasu, Clara C. Levelt. The Development of Structured Vocalizations in Songbirds and Humans: A Comparative Analysis
910 -- 924Julia Uddén, Mauricio de Jesus Dias Martins, Willem Zuidema, W. Tecumseh Fitch. Hierarchical Structure in Sequence Processing: How to Measure It and Determine Its Neural Implementation
925 -- 941Willem H. Zuidema, Robert M. French, Raquel G. Alhama, Kevin Ellis, Timothy J. O'Donnell, Tim Sainburg, Timothy Gentner. Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning
942 -- 956Willem J. M. Levelt. On Empirical Methodology, Constraints, and Hierarchy in Artificial Grammar Learning
957 -- 959Terrence C. Stewart. Editor's Introduction: Best of Papers From the 17th International Conference on Cognitive Modeling
960 -- 974Nicolas Riesterer, Daniel Brand, Marco Ragni. Predictive Modeling of Individual Human Cognition: Upper Bounds and a New Perspective on Performance
975 -- 991Roussel Rahman, Wayne D. Gray. SpotLight on Dynamics of Individual Learning
992 -- 1011Edward A. Cranford, Cleotilde Gonzalez, Palvi Aggarwal, Sarah Cooney, Milind Tambe, Christian Lebiere. Toward Personalized Deceptive Signaling for Cyber Defense Using Cognitive Models
1012 -- 1029Oliver W. Klaproth, Marc Halbrügge, Laurens R. Krol, Christoph Vernaleken, Thorsten O. Zander, Nele Rußwinkel. A Neuroadaptive Cognitive Model for Dealing With Uncertainty in Tracing Pilots' Cognitive State
1030 -- 1045Corné Hoekstra, Sander Martens, Niels A. Taatgen. A Skill-Based Approach to Modeling the Attentional Blink