Research and Development

Modeling the Contexts of Actions

Cognitive Narratology

Cognitive Narratology by David Herman, Psychonarratology: Foundations for the Empirical Study of Literary Response by Marisa Bortolussi and Peter Dixon, What Can Narratives Tell Us About the Neural Bases of Human Memory? by Hongmi Lee, Buddhika Bellana and Janice Chen and Working Memory and Situation Model Updating by Gabriel A. Radvansky and David E. Copeland.

Predictive Inferencing

The Role of Predictive Inferences in Situation Model Construction by Rebecca Fincher‐Kiefer, Strategic Production of Predictive Inferences during Comprehension by David Allbritton, Situation-based Context and the Availability of Predictive Inferences by Anne E. Cook, John E. Limber and Edward J. O'Brien, Context and the Activation of Predictive Inferences by Sabine Guéraud, Isabelle Tapiero and Edward J. O'Brien and Contextual Specificity in the Activation of Predictive Inferences by Karla A. Lassonde and Edward J. O'Brien.

Causal Reasoning

The Oxford Handbook of Causal Reasoning edited by Michael Waldmann, Mental Models and Causation by Philip N. Johnson-Laird and Sangeet S. Khemlani and Causal Reasoning with Mental Models by Sangeet S. Khemlani, Aron K. Barbey and Philip N. Johnson-Laird.

Context and Concepts

Context-independent and Context-dependent Information in Concepts by Lawrence W. Barsalou and The Effect of Context on the Structure of Categories by Emilie M. Roth and Edward J. Shoben.

Context and Causal Models

Context and Causal Mechanisms in Political Analysis by Tulia G. Falleti and Julia F. Lynch, Causal Mechanisms in the Social Sciences by Peter Hedström and Petri Ylikoski, Mechanisms in the Analysis of Social Macro-phenomena by Renate Mayntz, The Role of Causal Models in Evidence-informed Policy Making and Practice by Stephen Gorard, In Search of Synergy: Strategies for Combining Interventions at Multiple Levels by Bryan J. Weiner, Megan A. Lewis, Steven B. Clauser and Karyn B. Stitzenberg, Interventions and Causal Inference by Frederick Eberhardt and Richard Scheines, Elements of Causal Inference: Foundations and Learning Algorithms by Jonas Peters, Dominik Janzing and Bernhard Schölkopf and Toward Causal Representation Learning by Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal and Yoshua Bengio.


Experimental and Quasi-experimental Designs for Generalized Causal Inference by Thomas D. Cook, Donald T. Campbell and William Shadish.