Explanations Versus Applications

50 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Explanation in Artificial Intelligence: Insights from the Social Sciences (2017, background): “Preston and Epley [150] show that the value that people assign to their own beliefs – both in terms of probability and personal relevance – correspond with the explanatory power of those beliefs.”
The Instrumental Value of Explanations (2011, background): “…there is evidence that people prefer explanations that account for a larger number of observations (Thagard 1989; Read and Marcus-Newhall 1993; Preston and Epley 2005), that appeal to functions and goals (Kelemen 1999; Lombrozo et al. 2007), and that fit more coherently into a narrative…”
Toward an evolutionary social neuroscience of religion (2011, background): “We are especially attracted to answers that organize a diverse set of stimuli because they provide meaning (ie, a sense of coherence among one's beliefs, goals, and perceptions of the environment), and attendant feelings of order, control, and explanation (Preston & Epley, 2005 ).”
Science and God: An automatic opposition between ultimate explanations (2009, background): “Experiment 2: Divine origins A similar automatic opposition between religious and scientific beliefs should be observed by altering the perceived value of religious explanations (Preston & Epley, 2005).”