Mental models
By R. Ross. 2004
2,436 citations recorded by the source corpus.
Subfields: Artificial Intelligence
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Mohit Bansal
- Luke S. Zettlemoyer
- Graham Neubig
- Hannaneh Hajishirzi
- Yejin Choi
- Yoav Goldberg
- Noah A. Smith
- Hinrich Schütze
Citations in the corpus
- Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, methodology): “With regard to theory, analogy is generally regarded in terms of the mapping of parts, concepts, and relations (cf. Falkenhainer, 1980; Falkenhainer, Forbus and Gentner, 1993; Gentner and Stevens, 1983).”
- Metrics for Explainable AI: Challenges and Prospects (2018, background): “There is a large body of research by experimental psychologists on mental models (e.g., Carroll, 1984; Gentner and Gentner, 1983; Greeno, 1977; Johnson-Laird, 1980, 1989; Kintsch, Miller & Poulson, 1974).”
- LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better (2018, background): “…candidates of human sentence processing, especially in terms of memory constraints and human difficulties with center embedding constructions (Johnson-Laird, 1983; Pulman, 1986; Abney and Johnson, 1991; Resnik, 1992, inter alia), along with neurophysiological evidence in human sentence…”
- An Evolutionarily Informed Education Science (2008, background): “…are the content-free mechanisms that, among other things, enable the integration of a current conscious-psychological state with memory representations of related past experiences, and the generation of mental models or simulations of potential future states (Alexander, 1989; Johnson-Laird, 1983).”
- Differential Competencies Contributing to Children's Comprehension of Narrative and Expository Texts (2008, background): “For both types of text, the situation model is constructed inferentially through interactions between the explicit text, world knowledge, and the reader’s comprehension goals (Graesser, Singer, & Trabasso, 1994; Johnson-Laird, 1983; Kintsch, 1998).”
- The Anterior Frontomedian Cortex and Evaluative Judgment: An fMRI Study (2002, background): “This metalevel process modulates the interaction among systems (Johnson-Laird, 1983; Kuhl, 1994), as opposed to within-subsystem conflicts, which may be resolved automatically.”
- Learning and Teaching Programming: A Review and Discussion (2003, background): “Writing a program involves maintaining many different kinds of ‘‘mental model’’ (see, e.g., Johnson-Laird, 1983), quite apart from a model/knowledge of the programming language itself.”
- Scientific Literacy: The Role of Goal-Directed Reading and Evaluation in Understanding Scientific Information (2014, background): “For example, a reader encountering the termmental modelmight interpret it differently if it were followed by a citation of Gentner and Stevens (1983) than if it were followed by a citation of JohnsonLaird (1983).”
- Empirical Tests of Optimal Cognitive Distance (2004, background): “According to this view, people perceive, interpret, understand, and evaluate the world according to mental categories (or cognitive frames, or models, cf. Johnson-Laird, 1983) that they have developed in interaction with their physical and social environment.”
- Firms as Realizations of Entrepreneurial Visions (2007, methodology): “As such it differs from the sometimes used concept of a ‘mental model’ (e.g. in Casson, 2000; Hill and Levenhagen, 1995) that has been introduced in cognitive science ( Johnson-Laird, 1983, Ch. 1) to characterize the process of reasoning in the human mind rather than its underlying cognitive frame.”
- Learning to make sense: what works in entrepreneurial education? (2011, background): “Johnson-Laird (1983) argues that human reasoning involves both the generation of mental models, which suggests that knowledge is gained simply by the human being present as the experience occurs.”
- The Role of Domain-Specific Knowledge in Generative Reasoning About Complicated Multileveled Phenomena (2007, background): “Mostly, this knowledge was in the form of propositions (declarative knowledge), and mental models (Gentner & Stevens, 1983) or imagery (Kosslyn, 1980; Pylyshyn, 1981).”
- Commentary: Towards an Integrated View of Learning from Text and Visual Displays (2002, background): “That is, they represent the object based on a structural or functional analogy (Johnson-Laird, 1983; Johnson-Laird and Byrne, 1991).”
- How Working Memory and the Cerebellum Collaborate to Produce Creativity and Innovation (2007, positive): “Ito (1997) provided an example of the respective operation of predictor and controller models that is highly pertinent to the learning of models of working memory activity by the cerebellum: According to the psychological concept of a mental model (Johnson-Laird, 1983) [see Footnote 3], thought may ”
- Rethinking Reading Comprehension Instruction: A Comparison of Instruction for Strategies and Content Approaches (2009, background): “Studies have examined background knowledge both in terms of how it functions (Anderson & Pearson, 1984; Johnson-Laird, 1983; Van Dijk & Kintsch, 1983) and”