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Bob Rehder
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2020 – today
- 2022
- [j8]Bob Rehder, Zachary J. Davis, Neil Bramley:
The Paradox of Time in Dynamic Causal Systems. Entropy 24(7): 863 (2022) - 2021
- [c19]Ivar R. Kolvoort, Zachary J. Davis, Leendert van Maanen, Bob Rehder:
Variability in causal judgments. CogSci 2021 - [c18]Bob Rehder, Zachary J. Davis:
Testing a Process Model of Causal Reasoning With Inhibitory Causal Links. CogSci 2021 - 2020
- [j7]Zachary Davis, Bob Rehder:
A Process Model of Causal Reasoning. Cogn. Sci. 44(5) (2020) - [c17]Zachary Davis, Neil Bramley, Bob Rehder:
The Paradox of Time in Dynamic Causal Systems. CogSci 2020 - [c16]Zachary Davis, Neil Bramley, Bob Rehder, Todd M. Gureckis:
Dynamic Control Under Changing Goals. CogSci 2020
2010 – 2019
- 2018
- [c15]Zachary Davis, Neil Bramley, Bob Rehder:
Causal Structure Learning with Continuous Variables in Continuous Time. CogSci 2018 - [c14]Zachary Davis, Neil Bramley, Bob Rehder, Todd M. Gureckis:
A Causal Model Approach to Dynamic Control. CogSci 2018 - 2017
- [c13]Zachary Davis, Bob Rehder:
The Causal Sampler: A Sampling Approach to Causal Representation, Reasoning, and Learning. CogSci 2017 - 2016
- [c12]Bob Rehder:
Beyond Markov: Accounting for Independence Violations in Causal Reasoning. CogSci 2016 - [c11]Bob Rehder, Zachary Davis:
Evaluating Causal Hypotheses: The Curious Case of Correlated Cues. CogSci 2016 - [c10]Bob Rehder, Kelly M. Goedert, Ciara L. Willett, Raymond Blattner:
Modular versus Integrated Causal Learning. CogSci 2016 - 2014
- [c9]Anna Coenen, Bob Rehder, Todd M. Gureckis:
Decisions to intervene on causal systems are adaptively selected. CogSci 2014 - 2013
- [j6]Philip M. Fernbach, Bob Rehder:
Cognitive shortcuts in causal inference. Argument Comput. 4(1): 64-88 (2013) - [c8]Anna Coenen, Bob Rehder, Todd M. Gureckis:
How does this thing work? Evaluating computational models of intervention-based causal learning. CogSci 2013 - [c7]John V. McDonnell, Pedro Tsividis, Bob Rehder:
Reasoning with Inconsistent Causal Beliefs. CogSci 2013 - 2012
- [j5]Brett K. Hayes, Bob Rehder:
The Development of Causal Categorization. Cogn. Sci. 36(6): 1102-1128 (2012) - 2011
- [c6]Bob Rehder:
Reasoning with Conjunctive Causes. CogSci 2011 - [c5]Bob Rehder, Jay B. Martin:
A Generative Model of Causal Cycles. CogSci 2011 - [c4]Joseph Jay Williams, Tania Lombrozo, Bob Rehder:
Explaining drives the discovery of real and illusory patterns. CogSci 2011
2000 – 2009
- 2009
- [j4]Bob Rehder:
Causal-Based Property Generalization. Cogn. Sci. 33(3): 301-344 (2009) - 2003
- [j3]Bob Rehder:
Categorization as causal reasoning. Cogn. Sci. 27(5): 709-748 (2003) - 2001
- [c3]Bob Rehder:
Causal Categorization with Bayes Nets. NIPS 2001: 99-105
1990 – 1999
- 1997
- [j2]Bob Rehder, Nancy Pennington, Adrienne Y. Lee:
Scoring the Completeness of Software Designs. J. Syst. Softw. 36(1): 33-68 (1997) - [c2]Bob Rehder, Michael L. Littman, Susan T. Dumais, Thomas K. Landauer:
Automatic 3-Language Cross-Language Information Retrieval with Latent Semantic Indexing. TREC 1997: 233-239 - 1995
- [j1]Nancy Pennington, Adrienne Y. Lee, Bob Rehder:
Cognitive Activities and Levels of Abstraction in Procedural and Object-Oriented Design. Hum. Comput. Interact. 10(2-3): 171-226 (1995) - [c1]Bob Rehder, Clayton H. Lewis, Robert B. Terwilliger, Peter G. Polson, John Rieman:
A model of optimal exploration and decision making in novel interfaces. CHI 95 Conference Companion 1995: 230-231
Coauthor Index
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