A model of optimal exploration and decision making in novel interfaces. - Bob Rehder; Clayton H. Lewis; Robert B. Terwilliger; Peter G. Polson; John Rieman (CHI 95 Conference Companion, 1995)

Cognitive Activities and Levels of Abstraction in Procedural and Object-Oriented Design. - Nancy Pennington; Adrienne Y. Lee; Bob Rehder (Hum. Comput. Interact., 1995)

Automatic 3-Language Cross-Language Information Retrieval with Latent Semantic Indexing. - Bob Rehder; Michael L. Littman; Susan T. Dumais; Thomas K. Landauer (TREC, 1997)

Scoring the Completeness of Software Designs. - Bob Rehder; Nancy Pennington; Adrienne Y. Lee (J. Syst. Softw., 1997)

Causal Categorization with Bayes Nets. - Bob Rehder (NIPS, 2001)

Categorization as causal reasoning. - Bob Rehder (Cogn. Sci., 2003)

Causal-Based Property Generalization. - Bob Rehder (Cogn. Sci., 2009)

Reasoning with Conjunctive Causes. - Bob Rehder (CogSci, 2011)

A Generative Model of Causal Cycles. - Bob Rehder; Jay B. Martin (CogSci, 2011)

Explaining drives the discovery of real and illusory patterns. - Joseph Jay Williams; Tania Lombrozo; Bob Rehder (CogSci, 2011)

The Development of Causal Categorization. - Brett K. Hayes; Bob Rehder (Cogn. Sci., 2012)

How does this thing work? Evaluating computational models of intervention-based causal learning. - Anna Coenen; Bob Rehder; Todd M. Gureckis (CogSci, 2013)

Reasoning with Inconsistent Causal Beliefs. - John V. McDonnell; Pedro Tsividis; Bob Rehder (CogSci, 2013)

Cognitive shortcuts in causal inference. - Philip M. Fernbach; Bob Rehder (Argument Comput., 2013)

Decisions to intervene on causal systems are adaptively selected. - Anna Coenen; Bob Rehder; Todd M. Gureckis (CogSci, 2014)

Beyond Markov: Accounting for Independence Violations in Causal Reasoning. - Bob Rehder (CogSci, 2016)

Evaluating Causal Hypotheses: The Curious Case of Correlated Cues. - Bob Rehder; Zachary Davis 001 (CogSci, 2016)

Modular versus Integrated Causal Learning. - Bob Rehder; Kelly M. Goedert; Ciara L. Willett; Raymond Blattner (CogSci, 2016)

The Causal Sampler: A Sampling Approach to Causal Representation, Reasoning, and Learning. - Zachary Davis 001; Bob Rehder (CogSci, 2017)

Causal Structure Learning with Continuous Variables in Continuous Time. - Zachary Davis 001; Neil Bramley; Bob Rehder (CogSci, 2018)

A Causal Model Approach to Dynamic Control. - Zachary Davis 001; Neil Bramley; Bob Rehder; Todd M. Gureckis (CogSci, 2018)

Dynamic Control Under Changing Goals. - Zachary Davis 001; Neil Bramley; Bob Rehder; Todd M. Gureckis (CogSci, 2020)

A Process Model of Causal Reasoning. - Zachary Davis 001; Bob Rehder (Cogn. Sci., 2020)

Variability in causal judgments. - Ivar R. Kolvoort; Zachary J. Davis 001; Leendert van Maanen; Bob Rehder (CogSci, 2021)

Testing a Process Model of Causal Reasoning With Inhibitory Causal Links. - Bob Rehder; Zachary J. Davis 001 (CogSci, 2021)

The Paradox of Time in Dynamic Causal Systems. - Bob Rehder; Zachary J. Davis 001; Neil Bramley (Entropy, 2022)

Do Large Language Models Reason Causally Like Us? Even Better? - Hanna M. Dettki; Brenden M. Lake; Charley M. Wu; Bob Rehder (CoRR, 2025)