Category: Papers

The psychophysics of homeplate umpire calls

Flannagan, K., Mills, B. M., & Goldstone, R. L. (2024). The psychophysics of homeplate umpire calls. Scientific Reports, 14, 2735.
The Spread of Beliefs in Partially Modularized Communities

Goldstone, R. L., Dubova, M., Aiyappa, R., & Edinger, A. (2023). The spread of beliefs in partially modularized communities. Perspectives on Psychological Science, 0(0). https://doi.org/10.1177/17456916231198238
Perception and simulation during concept learning

Weitnauer, E., Goldstone, R. L., & Ritter, H. (2023). Perception and simulation during concept learning. Psychological Review, https://doi.org/10.1037/rev0000433
Carving joints into nature: reengineering scientific concepts in light of concept-laden evidence

Dubova, M., & Goldstone, R. L. (2023). Carving joints into nature: reengineering scientific concepts in light of concept-laden evidence. Trends in Cognitive Sciences, 27: 7, 656-670. A new wave of proposals suggests that scientists must reassess scientific concepts in light of accumulated evidence. However, reengineering scientific concepts in light of data is challenging because scientific […]
Peer Discussions Improve Student Learning

Tullis, J. G. & Goldstone, R. L. (2023). Peer Discussions Improve Student Learning. In C. E. Overson, C. M. Hakala, L. L. Kordonowy, & V. A. Benassi (Eds.), In their own words: What scholars and teachers want you to know about why and how to apply the science of learning in your academic setting (pp. […]
Promoting spontaneous analogical transfer by idealizing target representations

Trench, M., Tavernini, L. M., & Goldstone, R. L. (2023). Promoting spontaneous analogical transfer by idealizing target representations. Memory & Cognition, https://doi.org/10.3758/s13421-023-01411-9.
Beyond collective intelligence: Collective adaptation

Galesic, M., Barkoczi, D., Berdahl, A., Biro, D., Giannoccaro, I., Goldstone, R., Gonzalez, C., Kandler, A., Kao, A., Kendal, R., Kline, M., Lee, E., Massari, G. F., Mesoudi, A., Olsson, H., Pescetelli, N., Sloman, S., Smaldino, P. E., & Stein, D. L. (2023). Beyond collective intelligence: Collective adaptation. Journal of the Royal Society Interface, 20, […]
The Emergence of Specialized Roles Within Groups

Goldstone, R. L., Andrade-Lotero, E., Hawkins, R. D., & Roberts, M. E. (2023). The emergence of specialized roles Within groups. Topics in Cognitive Science, DOI: 10.1111/tops.12644.
Cognitive Science of Augmented Intelligence

Dubova, M., Galesic, M., & Goldstone, R. L. (2022). Cognitive Science of Augmented Intelligence. Cognitive Science, 46, 1-6, e13229.
Going Beyond Formalisms: A Grounded and Embodied Learning Approach to the Design of Pedagogical Statistics Simulations

Gok, S., & Goldstone, R. L., (2022). Going Beyond Formalisms: A Grounded and Embodied Learning Approach to the Design of Pedagogical Statistics Simulations. Journal of Applied Instructional Design, 11:4, 1-16. https://dx.doi.org/10.51869/114/sgrg.
The division of linguistic labor for offloading conceptual understanding

Andrade-Lotero, E. J., Ortiz-Duque, J. M., Velasco-Garcia, J. A., & Goldstone, R. L. (2022). The division of linguistic labor for offloading conceptual understanding. Philosophical Transactions of the Royal Society B. 378: 20210360.
Plan composition using higher-order functions

Rivera, E., Krishnamurthi, S., & Goldstone, R. L. (2022). Plan composition using higher-order functions. In Proceedings of the 2022 ACM Conference on International Computing Education Research V.1 (ICER 2022), August 7–11, 2022, Lugano, Switzerland. ACM, New York, NY, USA, 21 pages. https://doi.org/10.1145/3501385.3543965
Partial copying and the role of diversity in social learning performance

Campbell, C., Izquierdo, E. & Goldstone, R. L. (2022). Partial copying and the role of diversity in social learning performance. Collective Intelligence, 1:1, 1-15. 10.1177/26339137221081849
A computational model of context-dependent encodings during category learning

Carvalho, P. F., & Goldstone, R. L. (2022). A computational model of context-dependent encodings during category learning, Cognitive Science, 46, e13128.
Getting situated: Comparative Analysis of Language models with experimental categorization tasks

Edinger, A., & Goldstone, R. L. (2022). Getting situated: Comparative Analysis of Language models with experimental categorization tasks. Proceedings of the 44th Annual Conference of the Cognitive Science Society. (pp. 230-236). Toronto, Canada. Cognitive Science Society.
The Counterintuitive Interpretations Learned from Putatively Intuitive Simulations

Gok, S. & Goldstone, R. L. (2022). The counterintuitive interpretations learned from putatively intuitive simulations. Proceedings of the 44th Annual Conference of the Cognitive Science Society. (pp. 2230-2235). Toronto, Canada. Cognitive Science Society.
Exposing learners to variability during training has been demonstrated to improve performance

Gorman,T. E., & Goldstone, R. L. (2022). An instance-based model account of the benefits of varied practice in visuomotor skill. Cognitive Psychology, 137. E101491.
The well measured life: Performance, well-being, motivation, and identity in an age of abundant data

Goldstone, R. L. (2022). The well measured life: Performance, well-being, motivation, and identity in an age of abundant data. Current Directions in Psychological Science, 31(1), 1-9. https://doi.org/10.1177/09637214211053834
Categorical perception meets El Greco: categories unequally influence color perception of simultaneously present objects

Dubova, M., & Goldstone, R. L. (2022). Categorical perception meets El Greco: categories unequally influence color perception of simultaneously present objects. Cognition, 223, 1-14. 105025.
Tonal Emergence: An agent-based model of tonal coordination

Setzler, M., & Goldstone, R. L. (2022). Tonal Emergence: An Agent-Based Model of Tonal Coordination. Cognition, 221, 1-19. 104968.
A Social Interpolation model of group problem-solving

Sloman, S. J., Goldstone, R. L., & Gonzalez, C. (2021). A Social Interpolation model of group problem-solving. Cognitive Science, 45, 1-30. E13066
Self-organized division of cognitive labor

Andrade-Lotero, E., & Goldstone, R. L. (2021). Self-organized division of cognitive labor. PLoS ONE, 16(7): e0254532.
Reconstructing Maps from Text

Avery, J. E., Goldstone, R. L, & Jones, M. N. (2021). Reconstructing Maps from Text. Cognitive Systems Research. doi: https://doi.org/10.1016/j.cogsys.2021.07.007
The Influences of Category Learning on Perceptual Reconstructions

Dubova, M., & Goldstone, R. L. (2021). The Influences of Category Learning on Perceptual Reconstructions. Cognitive Science, 45, e12981, 1-24.
ManyClasses 1: Assessing the generalizable effect of immediate versus delayed feedback across many college classes

Fyfe, E., de Leeuw, J. R., Carvalho, P. F., Goldstone, R., Sherman, J., … Motz, B. (2021). ManyClasses 1: Assessing the generalizable effect of immediate versus delayed feedback across many college classes. Advances in Methods and Practices in Psychological Science, 4, 1-24. https://doi.org/10.31234/osf.io/4mvyh
Categories affect color perception of only some simultaneously present objects

Dubova, M., & Goldstone, R. L. (2021). Categories affect color perception of only some simultaneously present objects. Proceedings of the 43rd Annual Conference of the Cognitive Science Society. (pp. 2041-2048). Vienna, Austria. Cognitive Science Society.
The most efficient sequence of study depends on the type of test

Carvalho, P. F., & Goldstone, R. L. (2021). The most efficient sequence of study depends on the type of test. Applied Cognitive Psychology, 35, 82-97.
Reinforcement communication learning in different social network structures

Dubova, M., Moskvichev, A., & Goldstone, R. L. (2020). Reinforcement Communication Learning in Different Social Network Structures. International Conference on Machine Learning, 1st Language and Reinforcement Learning Workshop.
A three-site reproduction of the Joint Simon Effect with the NAO robot

Strait, M., Lier, F., Bernotat, J., Wachsmuth, S., Eyssel, F., Goldstone, R. L., & Sabanovic, S. (2020). A three-site reproduction of the Joint Simon Effect with the NAO robot. 15th Annual International Conference on Human Robot Interaction. Cambridge, England. Association for Computing Machinery (ACM) & Institute of Electrical and Electronics Engineers (IEEE). (pp. 103-111). New York: ACM.
Coordination and consonance between interacting, improvising musicians

Setzler, M., & Goldstone, R. L. (2020). Coordination and consonance between interacting, improvising musicians. Open Mind: Discoveries in Cognitive Science, 4, 88—101. https://doi.org/10.1162/opmi_a_00036.
Quantifying Emergent, Dynamic Tonal Coordination in Collaborative Musical Improvisation

Setzler, M., & Goldstone, R. L. (2020). Quantifying Emergent, Dynamic Tonal Coordination in Collaborative Musical Improvisation. Proceedings of the 42nd Annual Conference of the Cognitive Science Society. (pp. 461-466). Toronto, CA. Cognitive Science Society.
How much to copy from others?

Campbell, C., Izquierdo, E. & Goldstone, R. L. (2020). How much to copy from others? The role of partial copying in social learning. Proceedings of the 42nd Annual Conference of the Cognitive Science Society. (pp. 916-922). Toronto, Canada: Cognitive Science Society.
Reconstructing Maps from Text

Avery, J. E., Goldstone, R. L., & Jones, M. N. (2020). Reconstructing Maps from Text. Proceedings of the 42nd Annual Conference of the Cognitive Science Society. (pp. 557-563). Toronto, CA. Cognitive Science Society. Previous research has demonstrated that Distributional Semantic Models (DSMs) are capable of reconstructing maps from news corpora (Louwerse & Zwaan, 2009) and novels (Louwerse & […]
How do people code information in working memory when items share features?

Plancher, G., & Goldstone, R. L. (2020). How do people code information in working memory when items share features? Experimental Psychology, 1-9. https://doi.org/10.1027/1618-3169/a000480.
Why does peer instruction benefit student learning?

Tullis, J. G., & Goldstone, R. L. (2020). Why does peer instruction benefit student learning? Cognitive Research: Principles and Implications, 5:15, 1-12. https://doi.org/10.1186/s41235-020-00218-5
Simple Threshold Rules Solve Explore/Exploit Trade-offs in a Resource Accumulation Search Task

Sang, K., Todd, P. M., Goldstone, R. L., & Hills, T. T. (2020). Simple threshold rules solve explore/exploit tradeoffs in a resource accumulation search task. Cognitive Science, 44, e12817.
Bias to (and away from) the Extreme: Comparing Two Models of Categorical Perception Effects

Best, R. M., & Goldstone, R. L. (2019). Bias to (and away from) the Extreme: Comparing Two Models of Categorical Perception Effects. Journal of Experimental Psychology: Learning, Memory, and Cognition, 7, 1166-1176.
Becoming cognitive science

Goldstone, R. L. (2019). Becoming cognitive science. Topics in Cognitive Science, 1-12.
Building Inner Tools

Goldstone, R. L. (2019). Building inner tools. In M. Colombo, E. Irvine, M. Stapleton (Eds.)Andy Clark and his Critics. Oxford, England: Oxford University Press (pp. 113-127).
Beyond the lab: Using big data to discover principles of cognition

Lupyan, G., & Goldstone, R. L. (2019). Introduction to special issue. Beyond the lab: Using big data to discover principles of cognition. Behavior Research Methods, 51, 1473-1476.
The Evolutionary Dynamics of Cooperation in Collective Search

Tump, A. N., Wu, C. M., Bouhlel, I., & Goldstone, R. L. (2019).The Evolutionary Dynamics of Cooperation in Collective Search. Proceedings of the 41st Annual Conference of the Cognitive Science Society. (pp. 883-889). Montreal, Canada: Cognitive Science Society.
Patterns of coordination in simultaneously and sequentially improvising jazz musicians

Setzler, M., & Goldstone, R. L. (2019). Patterns of coordination in simultaneously and sequentially improvising jazz musicians. Proceedings of the 41st Annual Conference of the Cognitive Science Society. (pp. 1035-1040). Montreal, Canada: Cognitive Science Society.
Complex exploration dynamics from simple heuristics in a collective learning environment

Sloman, S. J., Goldstone, R. L., & Gonzalez, C. (2019). Complex exploration dynamics from simple heuristics in a collective learning environment. Proceedings of the 41st Annual Conference of the Cognitive Science Society. (pp. 2818-2824). Montreal, Canada: Cognitive Science Society.
Self-Organized Division of Cognitive Labor

Andrade-Lotero, E., & Goldstone, R. L. (2019). Self-Organized Division of Cognitive Labor. Proceedings of the 41st Annual Conference of the Cognitive Science Society. (pp. 91-97). Montreal, Canada: Cognitive Science Society.
A Computational Model of Scientific Discovery in a Very Simple World, Aiming at Psychological Realism

Lara-Dammer, F., Hofstadter, D. R., & Goldstone, R. L. (2019). A Computational Model of Scientific Discovery in a Very Simple World, Aiming at Psychological Realism. Journal of Experimental & Theoretical Artificial Intelligence, 1-22. 10.1080/0952813X.2019.1592234
When does interleaving practice improve learning?

Carvalho, P. F., & Goldstone, R. L. (2019). When does interleaving practice improve learning? In J. Dunlosky & K. A. Rawson (Eds.) The Cambridge Handbook of Cognition and Education. Cambridge, England: Cambridge University Press. (pp. 411-436).
The emergence of social norms and conventions

Hawkins, R. X. D., Goodman, N. D., & Goldstone, R. L. (2019). The emergence of social norms and conventions. Trends in Cognitive Science.
Cognitive mechanisms for human flocking dynamics

Frey, S., & Goldstone, R. L. (2018). Cognitive mechanisms for human flocking dynamics. Journal of Computational Social Science.
Embedding experiments: staking causal inference in authentic educational contexts

Motz, B. A., Carvalho, P. F., de Leeuw, J. R., & Goldstone, R. L. (2018). Embedding experiments: staking causal inference in authentic educational contexts. Journal of Learning Analytics,5, 47-59. doi: 10.18608/jla.2018.52.4
Models of human scientific discovery

Goldstone, R. L., Gopnik, A., Thagard, P., & Ullman, T. D. (2018). Models of human scientific discovery. Proceedings of the 40th Annual Conference of the Cognitive Science Society. (pp. 29-30). Madison, Wisconsin: Cognitive Science Society.