Computational Models of Scientific Discovery and Theory Formation

1990

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, neutral): “(Andriessen, 2002; Bjork et al., 2013; Doumas and Hummel, 2005; Falkenhainer, 1990; Facione and Gittens, 2015; Lombrozo, 2016; Rehder, 2003; Selfridge, Daniell, and Simmons, 1985; Williams, Lombrozo, and Rehder, 2012; Williams and Lombrozo, 2013; Feltovich, Coulson, and Spiro, 2001).”
• Occam's Two Razors: The Sharp and the Blunt (1998, background): “This has led some researchers to believe that a trade-off between error and complexity is "a direct consequence of Bayes' theorem, requiring no additional assumptions" (Cheeseman 1990).”
• Integrating computational thinking with K-12 science education using agent-based computation: A theoretical framework (2013, background): “Novice science learners engaging in these aspects of inquiry often struggle without extensive scaffolding (e.g., Klahr et al. 1990; Schauble et al. 1991; Sandoval and Millwood 2005).”
• Creative Development as Acquired Expertise: Theoretical Issues and an Empirical Test☆ (2000, background): “In fact, some discussions of the creative process have underlined the importance of cross-talk between separate projects, including projects that may have no apparent connection with each other (Gruber, 1974; Hargens, 1978; RootBernstein, Bernstein, & Garnier, 1993; Simon, 1974; Tweney, 1990).”
• Analogy just looks like high level perception: why a domain-general approach to analogical mapping is right (1998, background): “Phineas (Falkenhainer, 1987, 1988, 1990a) learns physical theories by analogy with previously understood examples.”
• Creativity and Discovery as Blind Variation: Campbell's (1960) BVSR Model after the Half-Century Mark (2011, background): “A second example comes from the computer programs that purport to make scientific discoveries (e.g., Langley, Simon, Bradshaw, & Zythow, 1987; Shrager & Langley, 1990).”
• FEATURED ARTICLE: The Creative Process in Picasso's Guernica Sketches: Monotonic Improvements versus Nonmonotonic Variants (2007, unknown): “Even more impressive, perhaps, is the advent of computer programs that, by implementing these problem-solving strategies, purport to make scientific discoveries and create artistic compositions (Boden, 1991; Langley, Simon, Bradshaw, & Zythow, 1987; Shrager & Langley, 1990).”
• The Promise and Potential of Big Data: A Case for Discovery Informatics (2014, unknown): “…in artificial intelligence (de Jong & Rip, 1997; Dzeroski & Todorovski, 2007; Glymour, 2004; Langley, Simon, Bradshaw, & Zytkow, 1987; Pearl, 2003; Shrager & Langley, 1990; Valdez-Perez, 1999), information science (Smalheiser, 2012; Swanson & Smalheiser, 1997), and cognitive science (Klahr,…”
• The Oxford handbook of thinking and reasoning (2012, background): “Computational models make it possible to propose detailed models of the cognitive subcomponents of scientific thinking that specify exactly how scientific theories are generated, tested, and amended (see Darden, 1997, and Shrager & Langley, 1990, for accounts of this branch of research).”
• Scientific Thinking and Reasoning (2012, background): “Computational models make it possible to propose detailed models of the cognitive subcomponents of scientific thinking that specify exactly how scientific theories are generated, tested, and amended (see Darden 1997; Shrager & Langley, 1990, for accounts of this branch of research).”
• From Data Mining to Knowledge Discovery in Databases (1996, unknown): “Cheeseman (1990) outlines a similar structure.”