Metarecognition in Time-Stressed Decision Making: Recognizing, Critiquing, and Correcting

By M. Cohen, J. Freeman, S. Wolf. 1996

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Citations in the corpus

The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification (2014, background): “People organize and interpret information through exemplar-based reasoning, particularly when they are solving problems ([26, 7, 9, 21]).”
Theoretical Underpinnings of Situation Awareness, A Critical Review (2000, background): “Cohen, Freeman and Wolf (1996) present a good discussion of the role of certain meta-cognitive skills in augmenting pattern matching and in forming the basis for developing situation assessment in cases where pattern-matching fails.”
Examples are not enough, learn to criticize! Criticism for Interpretability (2016, background): “Studies of human reasoning have shown that the use of examples (prototypes) is fundamental to the development of effective strategies for tactical decision-making (Newell and Simon, 1972; Cohen et al., 1996).”
iBCM: Interactive Bayesian Case Model Empowering Humans via Intuitive Interaction (2015, background): “The use of examples as a medium for interaction is well-grounded in several cognitive science studies that demonstrated that exemplarbased reasoning, involving various forms of matching and prototyping, is fundamental to our most effective strategies for tactical decision-making ([26, 11, 21]).”
Interactive and interpretable machine learning models for human machine collaboration (2015, background): “The use of examples as a medium for interaction is well-grounded in several cognitive science studies that demonstrated that exemplar-based reasoning, involving various forms of matching and prototyping, is fundamental to humans’ most effective strategies for tactical decision-making ([101, 35, 83])”
Interpreting Black Box Predictions using Fisher Kernels (2018, background): “It has long been established that using examples to enable interpretability is one of the most effective approaches for human learning and understanding [21, 4, 15].”