Predictions from uncertain categorizations.

By Gregory L. Murphy, Brian H. Ross. 1994

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Citations in the corpus

Cognitive Underpinnings of Institutional Persistence and Change: A Framing Perspective (2006, background): “Researchers studying category-based inferences (cf. Malt et al., 1995; Murphy & Ross, 1994; Ross & Murphy, 1996) suggest that decision makers face uncertainty of two types in the inference process.”
Coarse Thinking and Persuasion (2008, background): “The idea that the coarse thinker chooses the most likely category given the observed data and ignores alternative categories is motivated by experimental evidence (Murphy and Ross 1994; Malt, Ross, and Murphy 1995).”
“What Is It?” Categorization Flexibility and Consumers' Responses to Really New Products (2001, background): “This guided attention leads people to use feature information from a single category when making inductive inferences about a new object rather than using feature information from multiple categories (Murphy and Ross 1994; Yamauchi and Markman 2000).”
When Categorization Is Ambiguous: Factors That Facilitate the Use of a Multiple Category Inference Strategy (2005, background): “In Murphy and Ross’s study, respondents were shown representative samples of figures drawn by four different children. Each sample contained four figures varying in shape and shading. Respondents were shown a new figure and asked to predict the artist and shading and to give probability estimates fo”
Human Learning in Atari (2017, background): “…1985; Carey 1985; Gopnik, Meltzoff, and Bryant 1997), which they can use to explain (Lombrozo 2009; Williams and Lombrozo 2010), predict (Rips 1975; Murphy and Ross 1994), and imagine (Ward 1994; Jern and Copyright c 2017, Association for the Advancement of Artificial Intelligence…”
Category use and category learning. (2003, background): “An important possible difference with classification is that when people are making inferences about classified items, they limit the information being considered to the category given and do not take into account what the other categories are like (Murphy & Ross, 1994).”
SUSTAIN: a network model of category learning. (2004, background): “Recent work (Malt, Murphy, & Ross, 1995; Murphy & Ross, 1994) has suggested that SUSTAIN's focus on the most likely possibility may be in accord with human performance.”
Concepts and categories: Memory, meaning, and metaphysics (2012, background): “However, there is also some evidence undermining the rational model’s predictions concerning inference (e.g., Malt, Ross, & Murphy, 1995; Murphy & Ross, 1994; Palmeri, 1999; Ross & Murphy, 1996).”