Tag: computational model

Perception and simulation during concept learning

Weitnauer, E., Goldstone, R. L., & Ritter, H. (in press). Perception and simulation during concept learning. Psychological Review.
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.
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.
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.
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.
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.
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.
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.
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 & […]
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.
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.
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
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.
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.
Sharing is not erring: Pseudo-reciprocity in collective search

Bouhlel, I., Wu, C. M., Hanaki, N., & Goldstone, R. L. (2018). Sharing is not erring: Pseudo-reciprocity in collective search. Proceedings of the 40th Annual Conference of the Cognitive Science Society. (pp. 156-161). Madison, Wisconsin: Cognitive Science Society.
The Great Melting Pot: generating diversity by combining solutions across a global population

Izquierdo, E. J., Campbell, C. M., & Goldstone, R. L. (2018). The Great Melting Pot: generating diversity by combining solutions across a global population. Annual Meeting of Collective Intelligence. Zurich, Switzerland.
Categorization and Concepts

Goldstone, R. L., Kersten, A., & Carvalho, P. F. (2017). Categorization and Concepts. In J. Wixted (Ed.) Stevens’ Handbook of Experimental Psychology and Cognitive neuroscience, Fourth Edition, Volume Three: Language & Thought. New Jersey: Wiley. (pp. 275-317).
A computer model of context dependent perception in a very simple world

Lara-Dammer, F., Hofstadter, D. R., & Goldstone, R. L. (2017). A computer model of context dependent perception in a very simple world. Journal of Experimental & Theoretical Artificial Intelligence, 29:6, 1247-1282. DOI: 10.1080/0952813X.2017.1328463
The Multiple Interactive Levels of Cognition (MILCS) perspective on group cognition

Goldstone, R. L., & Theiner, G. (2017). The Multiple Interactive Levels of Cognition (MILCS) perspective on group cognition. Philosophical Psychology, 1-35. DOI: 10.1080/09515089.2017.1295635
Discovering Psychological Principles by Mining Naturally Occurring Data Sets

Goldstone, R. L., & Lupyan, G. (2016). Harvesting naturally occurring data to reveal principles of cognition. Topics in Cognitive Science, 8, 548-568.
Index of Supplemental Videos for “An Integrated Computational Model of Perception and Scientific Discovery in a Very Simple World, Aiming at Psychological Realism”

Below is an index of supplemental videos for the manuscript: Lara-Dammer, F., Hofstadter, D. R., & Goldstone, R. L. (under review).An Integrated Computational Model of Perception and Scientific Discovery in a Very Simple World, Aiming at Psychological Realism Overview V1 Plausible Approach V1 Plausible Approach V2 Object Identification V1 Object Identification V2 Object Identification V3 […]
Effects of variation and prior knowledge on abstract concept learning

Braithwaite, D. W., & Goldstone, R. L., (2015). Effects of variation and prior knowledge on abstract concept learning. Cognition and Instruction, 33, 226-256.
Integration of social information by human groups

Granovskiy, B., Gold, J. M., Sumpter, D., & Goldstone, R. L. (2015). Integration of social information by human groups. Topics in Cognitive Science, 7, 469-493.
Memory constraints affect statistical learning; statistical learning affects memory constraints

de Leeuw, J. R., & Goldstone, R. L. (2015). Memory constraints affect statistical learning; statistical learning affects memory constraints. Proceedings of the Thirty-Seventh Annual Conference of the Cognitive Science Society. (pp. 530-535). Pasadena, CA: Cognitive Science Society.