| 1 | -- | 2 | Wayne D. Gray. topiCS |
| 3 | -- | 12 | Sean A. Fulop, Nick Chater. Editors' Introduction: Why Formal Learning Theory Matters for Cognitive Science |
| 13 | -- | 34 | Jacob Feldman. Tuning Your Priors to the World |
| 35 | -- | 55 | Anne S. Hsu, Nick Chater, Paul M. B. Vitányi. Language Learning From Positive Evidence, Reconsidered: A Simplicity-Based Approach |
| 56 | -- | 88 | Lorenzo Carlucci, John Case. On the Necessity of U-Shaped Learning |
| 89 | -- | 110 | Alexander Clark, Shalom Lappin. Complexity in Language Acquisition |
| 111 | -- | 131 | Jeffrey Heinz, William J. Idsardi. What Complexity Differences Reveal About Domains in Language |
| 132 | -- | 172 | Bryan R. Gibson, Timothy T. Rogers, Xiaojin Zhu. Human Semi-Supervised Learning |
| 173 | -- | 184 | Noah D. Goodman, Andreas Stuhlmüller. Knowledge and Implicature: Modeling Language Understanding as Social Cognition |
| 185 | -- | 199 | Kevin A. Smith, Edward Vul. Sources of Uncertainty in Intuitive Physics |
| 200 | -- | 213 | George Kachergis, Chen Yu, Richard M. Shiffrin. Actively Learning Object Names Across Ambiguous Situations |
| 214 | -- | 221 | Mark A. Pitt, Yun Tang. What Should Be the Data Sharing Policy of Cognitive Science? |