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Benjamin M. Rottman
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2020 – today
- 2021
- [j4]Ciara L. Willett, Benjamin M. Rottman:
The Accuracy of Causal Learning Over Long Timeframes: An Ecological Momentary Experiment Approach. Cogn. Sci. 45(7) (2021) - [j3]Zachary A. Caddick, Benjamin M. Rottman:
Motivated Reasoning in an Explore-Exploit Task. Cogn. Sci. 45(8) (2021) - [c20]Sara Jaramillo, Eric Kuo, Timothy Nokes-Malach, Benjamin M. Rottman:
Using Causality to Map Difficulties in a Qualitative Physics Problem. CogSci 2021 - [c19]Yiwen Zhang, Benjamin M. Rottman:
Causal Learning With Interrupted Time Series. CogSci 2021 - [c18]Yiwen Zhang, Benjamin M. Rottman:
Causal Learning With Delays Up to 21 Hours. CogSci 2021 - 2020
- [c17]Ciara L. Willett, Benjamin M. Rottman:
Causal Learning with Two Causes over Weeks. CogSci 2020 - [c16]Eric Kuo, Nolan Weinlader, Benjamin M. Rottman, Timothy J. Nokes-Malach:
Using Causal Networks to Examine Resource Productivity and Coordination in Learning Science. ICLS 2020
2010 – 2019
- 2019
- [c15]Zachary A. Caddick, Benjamin M. Rottman:
Politically Motivated Causal Evaluations of Economic Performance. CogSci 2019: 182-188 - [c14]Ciara L. Willett, Benjamin M. Rottman:
The Accuracy of Causal Learning over 24 Days. CogSci 2019: 3107-3113 - [c13]Zachary A. Caddick, Benjamin M. Rottman:
Motivated Reasoning in Causally Ambiguous Explore-Exploit Situations. CogSci 2019: 3423 - 2018
- [c12]Cory Derringer, Benjamin M. Rottman:
Comparing Mediation Inferences and Explaining Away Inferences on Three Variable Causal Structures. CogSci 2018 - [c11]Kevin Soo, Benjamin M. Rottman:
Causal Learning from Trending Time-Series. CogSci 2018 - 2016
- [c10]Cory Derringer, Benjamin M. Rottman:
Temporal Causal Strength Learning with Multiple Causes. CogSci 2016 - [c9]Kevin Soo, Benjamin M. Rottman:
Causal Learning With Continuous Variables Over Time. CogSci 2016 - 2015
- [c8]Cory Derringer, Benjamin M. Rottman:
Informative Transitions: A Heuristic for Conditionalized Causal Strength Learning. CogSci 2015 - [c7]Benjamin M. Rottman:
How Causal Mechanism and Autocorrelation Beliefs Inform Information Search. CogSci 2015 - [c6]Benjamin M. Rottman, Reid Hastie:
Do Markov Violations and Failures of Explaining Away Persist with Experience? CogSci 2015 - [c5]Kevin Soo, Benjamin M. Rottman:
Elemental Causal Learning from Transitions. CogSci 2015 - 2014
- [j2]Benjamin M. Rottman, Jonathan F. Kominsky, Frank C. Keil:
Children Use Temporal Cues to Learn Causal Directionality. Cogn. Sci. 38(3): 489-513 (2014) - [c4]Benjamin M. Rottman:
Information Search in an Autocorrelated Causal Learning Environment. CogSci 2014 - [c3]Kevin Soo, Benjamin M. Rottman:
Learning Causal Direction from Transitions with Continuous and Noisy Variables. CogSci 2014 - 2012
- [j1]Benjamin M. Rottman, Dedre Gentner, Micah B. Goldwater:
Causal Systems Categories: Differences in Novice and Expert Categorization of Causal Phenomena. Cogn. Sci. 36(5): 919-932 (2012) - 2011
- [c2]Benjamin M. Rottman, Frank Keil:
Which Parts of Scientific Explanations are Most Important? CogSci 2011 - [c1]Benjamin M. Rottman, Frank Keil:
Learning Causal Direction from Repeated Observations over Time. CogSci 2011
Coauthor Index
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