article · Cognitive Science · 1985

Languages and designs for probability judgment

Cited by 6Abstract and details only

Abstract

Theories of subjective probability are viewed as formal languages for analyzing evidence and expressing degrees of belief. This article focuses on two probability langauges, the Bayesian language and the language of belief functions (Shafer, 1976). We describe and compare the semantics (i.e., the meaning of the scale) and the syntax (i.e., the formal calculus) of these languages. We also investigate some of the designs for probability judgment afforded by the two languages.

Cite this paper

APA 7

Shafer, G., & Tversky, A. (1985). Languages and designs for probability judgment. Cognitive Science, 9(3), 309–339. https://doi.org/10.1016/s0364-0213(85)80002-1

MLA 9

Shafer, G., and Amos Tversky. “Languages and designs for probability judgment.” Cognitive Science, vol. 9, no. 3, 1985, pp. 309–39, https://doi.org/10.1016/s0364-0213(85)80002-1.

Chicago

Shafer, G., and Amos Tversky. 1985. “Languages and designs for probability judgment.” Cognitive Science 9 (3): 309–39. https://doi.org/10.1016/s0364-0213(85)80002-1.

Harvard

Shafer, G. and Tversky, A. (1985) ‘Languages and designs for probability judgment’, Cognitive Science, 9(3), pp. 309–339. Available at: https://doi.org/10.1016/s0364-0213(85)80002-1.

BibTeX

@article{shafer1985languages,
  title = {{Languages and designs for probability judgment}},
  author = {Shafer, G. and Tversky, Amos},
  journal = {Cognitive Science},
  volume = {9},
  number = {3},
  pages = {309--339},
  year = {1985},
  doi = {10.1016/s0364-0213(85)80002-1}
}

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