Creating Scientific Concepts

By Nancy J. Nersessian. 2008

722 citations recorded by the source corpus.

Subfields: History and Philosophy of Science

View Paper: https://www.semanticscholar.org/paper/94eb9df454da49f0af5c2fcd6779f753a0b93cdd

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In History and Philosophy of Science

Citations in the corpus

International Entrepreneurship: Exploring the Logic and Utility of Individual Experience through Comparative Reasoning Approaches (2014, background): “…Coviello & Munro, 1997; Jones, 1999; Knight & Cavusgil, 2004; Madsen & Servais, 1997) in which the complexities of technologies and technological processes as well as prior training of scientists in analogical information processing (e.g. Nersessian, 2008) might predispose entrepreneurs to AR.”
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation (2017, methodology): “Taking partial inspiration from (Thagard, 2010) and (Nersessian, 2010), we interpret a mental model as a cognitive”
The Oxford handbook of thinking and reasoning (2012, background): “O' Malley, M. A. (2011). Exploration, iterativity and kludging in synthetic biology.”
Standards for the preparation and writing of Psychology review articles (2009, background): “When all is said and done, all is needed in order to improve problem solving is conceptual change (Nersessian, 2008) (B-4).”
Seeding Evolutionary Thinking by Engaging Children in Modeling Its Foundations. (2012, background): “Ultimately, the models “circulate” (Latour, 1999) and “interlock” (Nersessian, 2008), resulting in a representational system that enhances children’s theories of the natural world.”
Research Article Science Assessments for All: Integrating Science Simulations Into Balanced State Science Assessment Systems (2012, background): “Model-based reasoning is a signature practice of the sciences that supports how scientists create insights and extend understandings of nature (Clement, 1989; Nersessian, 2008).”
Moving Forward: Developing Theoretical Contributions in Management Studies (2014, background): “to the idea that the basic units for scientists in working with theories are most often not axiomatic systems or formal logic, but conceptual models and representations that they cognitively construct, manipulate, adapt, and evaluate (e.g., Darden, 1991; Hesse, 1966; Morgan and Morrison, 1999; Nerse”
Representing, Running, and Revising Mental Models: A Computational Model (2018, background): “Additional research has characterized the role of analogy and similarity for generating and evaluating explanations (e.g., Gentner & Markman, 1997; Hummel, Licato, & Bring-sjord, 2014), including in scientiﬁc domains (e.g., Gentner et al., 1997; Nersessian, 2010; Thagard & Litt, 2012).”
Expanding the Dimensions of Epistemic Cognition: Arguments From Philosophy and Psychology (2011, background): “For example, philosophers have examined practices of experimentation (Giere, 1988; Staley, 2004), practices for generating creative new ideas (Nersessian, 2008), and practices used by collaborative teams to coordinate their work effectively (Staley, 2004).”
Mental Models, Visual Reasoning and Interaction in Information Visualization: A Top-down Perspective (2010, background): “Although there has been few studies focusing on the role of mental models in the creation of new visualization designs, studies in domains other than InfoVis reveal interesting insights on how new innovations and discoveries are often not made as a result of logical inference or deduction, but via m”
Cognitive strategies of analogical reasoning in design: Differences between expert and novice designers (2013, background): “…(Hofstadter, 2001), such as problem solving (Gick & Holyoak, 1980, 1983; Novick, 1988; Ross & Kilbane, 1997), scientific discovery (Dunbar & Blanchette, 2001; Gentner et al., 1997; Nersessian, 2008), learning (Brown, 1989; Vosniadou, 1989), and creativity (Johnson-Laird, 1989; Ward, 1998).”