Biologically Inspired Cognitive Architectures
| Assessing and Characterizing the Cognitive Power of Machine Consciousness Implementations | |
| Raul Arrabales, Agapito Ledezma, Araceli Sanchis |
| Biologically Inspired Computing in CMOL CrossNets | |
| Konstantin K. Likharev |
| Funding Opportunities for Cognitive and Computer Scientists through the Institute of Education Sciences | |
| Carol L. O'Donnell, Jonathan Levy |
| Dopamine, Learning, and Production Rules: The Basal Ganglia and the Flexible Control of Information Transfer in the Brain | |
| Andrea Stocco, Christian Lebiere, John Robert Anderson |
Cognitive and Metacognitive Educational Systems
| Improving (Meta)Cognitive Tutoring by Detecting and Responding to Uncertainty | |
| Diane Litman, Kate Forbes-Riley |
| Narrative-Centered Learning Environments: A Self-Regulated Learning Perspective | |
| Lucy R. Shores, Jennifer L. Robison, Jonathan P. Rowe, Kristin L. Hoffman, James C. Lester |
| Analyzing Prosodic Features and Student Uncertainty using Visualization | |
| Wenting Xiong, Diane J. Litman, G. Elisabeta Marai |
Complex Adaptive Systems and the Threshold Effect
| Linking Network Structure and Diffusion through Stochastic Dominance | |
| P. J. Lamberson |
Manifold Learning and Its Applications
| Multiscale Estimation of Intrinsic Dimensionality of Data Sets | |
| Anna V. Little, Yoon-Mo Jung, Mauro Maggioni |
Multi-Representational Architectures for Human-Level Intelligence
| Scalable Representation Structures for Visuo-Spatial Reasoning — Dynamic Explorations into Knowledge Types | |
| Sven Bertel, Jan Frederik Sima, Maren Lindner |
The Uses of Computational Argumentation
| Computational Argument as a Diagnostic Tool: The role of reliability. | |
| Collin F. Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven |