Stimulus and response generalization: A stochastic model relating generalization to distance in psychological space
By Roger N. Shepard. 1957
Subfields: Cognitive Science & Psychology
How researchers see this paper
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In Cognitive Science & Psychology
- U. Endriss
- Colin Wilson
- Felix Brandt
- Jérôme Lang
- Gordon D. A. Brown
- Paul Christiano
- Ariel D. Procaccia
- Bernhard Schölkopf
Citations in the corpus
- Deep Reinforcement Learning from Human Preferences (2017, methodology): “This follows the Bradley-Terry model (Bradley and Terry, 1952) for estimating score functions from pairwise preferences, and is the specialization of the Luce-Shephard choice rule (Luce, 2005; Shepard, 1957) to preferences over trajectory segments.”
- Learning Phonology With Substantive Bias: An Experimental and Computational Study of Velar Palatalization (2006, background): “The final equation projects perceptual similarities onto predicted confusion rates according to the Luce choice rule (R. D. Luce, 1963; Shepard, 1957).”
- The Child as Econometrician: A Rational Model of Preference Understanding in Children (2014, unknown): “This simple choice rule is also commonplace in the psychological literature, where it has been called the Luce-Shepard choice rule [11,12].”
- Multidimensional Scaling (2021, methodology): “The negative exponential of the distance function was also used by Shepard (1957) in his early theory of recognition experiments.”
- Distance based similarity models for content based multimedia retrieval (2013, background): “A common, preferable, and influential approach [Ashby and Perrin, 1988, Shepard, 1957, Jäkel et al., 2008, Santini and Jain, 1999] to model similarity between objects is the geometric approach.”
- Generalization and similarity in exemplar models of categorization: Insights from machine learning (2008, methodology): “Shepard’s work on generalization and similarity (e.g., Shepard, 1957, 1987) cannot be separated from his work on categorization (e.g., Shepard & Chang, 1963; Shepard, Hovland, & Jenkins, 1961) and multidimensional scaling (MDS; e.g., Shepard, 1962).”
- Handbook of Computational Social Choice (2016, methodology): “, the Luce-Shepard model (Luce, 1959; Shepard, 1959)) capture choice “errors” that are exponentially less likely the more distinguishable two alternatives are w.”
- The mysterious motivational functions of mesolimbic dopamine. (2012, unknown): “The concept of psychological distance is an old idea in psychology (e.g., Lewin, 1935; Shepard, 1957; Liberman and Forster, 2008) and has taken on many different theoretical connotations in different areas of psychology (e.”
- Programming by Feedback (2014, background): “, 2012) or following the Luce-Shepard model (Luce, 1959; Shepard, 1957).”