A Source of Bayesian Priors
dc.contributor.author | Osherson, Daniel | en_US |
dc.contributor.author | Smith, Edward E. | en_US |
dc.contributor.author | Shafir, Eldar | en_US |
dc.contributor.author | Gualtierotti, Antoine | en_US |
dc.contributor.author | Biolsi, Kevin | en_US |
dc.date.accessioned | 2013-06-18T18:32:23Z | |
dc.date.available | 2013-06-18T18:32:23Z | |
dc.date.issued | 1995-07 | en_US |
dc.identifier.citation | Osherson, Daniel; Smith, Edward E.; Shafir, Eldar; Gualtierotti, Antoine; Biolsi, Kevin (1995). "A Source of Bayesian Priors." Cognitive Science 19(3). <http://hdl.handle.net/2027.42/98184> | en_US |
dc.identifier.issn | 0364-0213 | en_US |
dc.identifier.issn | 1551-6709 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/98184 | |
dc.publisher | Lawrence Erlbaum Associates, Inc. | en_US |
dc.publisher | Wiley Periodicals, Inc. | en_US |
dc.title | A Source of Bayesian Priors | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Neurosciences | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University of Michigan | en_US |
dc.contributor.affiliationother | University of Lausanne | en_US |
dc.contributor.affiliationother | Istituto San Raffaele | en_US |
dc.contributor.affiliationother | Princeton University | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/98184/1/s15516709cog1903_4.pdf | |
dc.identifier.doi | 10.1207/s15516709cog1903_4 | en_US |
dc.identifier.source | Cognitive Science | en_US |
dc.identifier.citedreference | Quillian, M. R. ( 1968 ). Semantic memory. In M. Minsky (Ed.), Semantic information processing (pp. 216 – 260 ). Cambridge, MA: MIT Press. | en_US |
dc.identifier.citedreference | Nuefeld, E. ( 1989 ). Defaults and probabilities: extensions and coherence. In Proceedings of the First International Conference on Principles of Knowledge Representation and Reasoning. | en_US |
dc.identifier.citedreference | Osherson, D. ( 1987 ). New axioms for the contrast model of similarity. Journal of Mathematical Psychology, 1 ( 1 ), 93 – 103. | en_US |
dc.identifier.citedreference | Osherson, D., Shafir, E., & Smith, E. E. ( 1994 ). Extracting the coherent core of human probability judgment. Cognition, 1, 299 – 313. | en_US |
dc.identifier.citedreference | Osherson, D., Smith, E. E., Meyers, T. S., Shafir, E., & Stob, M. ( 1994 ). Extrapolating human probability judgment. Theory and Decision, 1, 103 – 129. | en_US |
dc.identifier.citedreference | Osherson, D., Smith, E. E., & Shafir, E. ( 1986 ). Some origins of belief. Cognition, 1, 197 – 224. | en_US |
dc.identifier.citedreference | Osherson, D., Smith, E. E., Wilkie, O., López, A., & Shafir, E. ( 1990 ). Category based induction. Psychological Review, 1, 185 – 200. | en_US |
dc.identifier.citedreference | Osherson, D., Stern, J., Wilkie, O., Stob, M., & Smith, E. ( 1991 ). Default probability. Cognitive Science, 1, 251 – 270. | en_US |
dc.identifier.citedreference | Press, W. H., Flannery, B. P., Teukolsky, S. A., & Vetterling, W. ( 1992 ). Numerical recipes in c, ( 2nd ed. ). New York: Cambridge University Press. | en_US |
dc.identifier.citedreference | Rumelhart, D., & Ortony, A. ( 1977 ). The representation of knowledge in memory. In R. Anderson, R. Spiro, & Montague, W. (Eds.), Schooling and the acquisition of knowledge. Hillsdale, NJ: Erlbaum. | en_US |
dc.identifier.citedreference | Shafir, E., Smith, E., & Osherson, D. ( 1990 ). Typicality and reasoning fallacies. Memory and Cognition, 1 ( 3 ), 229 – 239. | en_US |
dc.identifier.citedreference | Sloman, S. A. ( 1993 ). Feature based induction. Cognitive Psychology, 1 ( 2 ), 231 – 280. | en_US |
dc.identifier.citedreference | Sloman, S. A. (in press). When explanations compete: The role of explanatory coherence on judgments of likelihood. Cognition. | en_US |
dc.identifier.citedreference | Smith, E. E. ( 1989 ). Concepts and induction. In M. Posner (Ed.), Foundations of Cognitive Science (pp. 502 – 526 ). Cambridge, MA: MIT Press. | en_US |
dc.identifier.citedreference | Smith, E. E., Osherson, D., Rips, L., & Keane, M. ( 1988 ). Combining prototypes: A selective modification model. Cognitive Science, 1, 485 – 527. | en_US |
dc.identifier.citedreference | Smith, E. E., Shafir, E., & Osherson, D. ( 1993 ). Similarity, plausibility, and judgments of probability. Cognition, 1, 67 – 96. | en_US |
dc.identifier.citedreference | Stern, J. ( 1991 ). Default reasoning about probability. Unpublished doctoral dissertation, Massachusetts Institute of Technology, Cambridge. | en_US |
dc.identifier.citedreference | Szolovits, P., & Pauker, S. ( 1978 ). Categorical and probabilistic reasoning in medical diagnosis. Artificial Intelligence, 1, 115 – 144. | en_US |
dc.identifier.citedreference | Tversky, A. ( 1977 ). Features of similarity. Psychological Review, 1 ( 4 ), 327 – 362. | en_US |
dc.identifier.citedreference | Tversky, A., & Gati, I. ( 1982 ). Similarity, separability, and the triangle inequality. Psychological Review, 1 ( 2 ), 123 – 154. | en_US |
dc.identifier.citedreference | Tversky, A., & Kahneman, D. ( 1983 ). Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment. Psychological Review, 1, 293 – 315. | en_US |
dc.identifier.citedreference | van der Gaag, L. ( 1991 ). Computing probability intervals under independency constraints. In P. Bonissone (Ed.), Proceedings of the Sixth Workshop on Uncertainty in Artificial Intelligence (pp. 457 – 467 ). New York: Elsevier. | en_US |
dc.identifier.citedreference | Winterfeld, D. V., & Edwards, W. ( 1986 ). Decision analysis and behavioral research. New York: Cambridge University Press. | en_US |
dc.identifier.citedreference | Andersen, S., Olesen, K., Jensen, F. V., & F. Jensen ( 1989 ). Hugin—a shell for building Bayesian belief universes for expert systems. In Proceedings of the Tenth International Joint Conference on Artificial Intelligence. | en_US |
dc.identifier.citedreference | Andreassen, S., Woldbye, M., Falck, B., & Andersen, S. ( 1989 ). Munin—a causal probabilistic network for interpretation of electromyographic findings. In Proceedings of the Tenth International Joint Conference on Artificial Intelligence. | en_US |
dc.identifier.citedreference | Bacchus, F. ( 1990 ). Representing and reasoning with probabilistic knowledge. Cambridge, MA: MIT Press. | en_US |
dc.identifier.citedreference | Bobrow, D., & Winograd, T. ( 1976 ). An overview of KRL, a knowledge representation language. Cognitive Science, 1 ( 1 ), 3 – 46. | en_US |
dc.identifier.citedreference | Cheng, Y. ( 1991 ). Context‐dependent similarity. In P. Bonissone (Ed.), Proceedings of the Sixth Workshop on Uncertainty in Artificial Intelligence (pp. 41 – 47 ). New York: Elsevier. | en_US |
dc.identifier.citedreference | Franklin, J. ( 1980 ). Methods of mathematical economics. New York: Springer‐Verlag. | en_US |
dc.identifier.citedreference | Geiger, D., & Hackerman, D. ( 1991 ). Separable and transitive graphoids. In P.B. (Ed.), Proceedings of the Sixth Workshop on Uncertainty in Artificial Intelligence (pp. 65 – 87 ). New York: Elsevier. | en_US |
dc.identifier.citedreference | Gregson, R. ( 1975 ). Psychometrics of similarity. New York: Academic. | en_US |
dc.identifier.citedreference | Heit, E., & Rubinstein, B. (in press). Similarity and property effects in inductive reasoning. Journal of Experimental Psychology: Learning, Memory, and Cognition. | en_US |
dc.identifier.citedreference | Hempel, C. G. ( 1960 ). Inductive inconsistencies. Synthese, 1 ( 1 ), 28, 439 – 469. | en_US |
dc.identifier.citedreference | Horvitz, E., Breese, J., & Henrion, M. ( 1988 ). Decision theory in expert systems and artificial intelligence. International Journal of Approximate Reasoning, 1, 247 – 302. | en_US |
dc.identifier.citedreference | Kahneman, D., Slovic, P., & Tverskky, A. (Eds.). ( 1982 ). Judgment under uncertainty: Heuristics and biases. Cambridge: Cambridge University Press. | en_US |
dc.identifier.citedreference | Katz, J. ( 1972 ). Semantic theory. New York: Harper & Row. | en_US |
dc.identifier.citedreference | Lakoff, G. ( 1970 ). Linguistics and natural logic. Synthese, 1, 151 – 271. | en_US |
dc.identifier.citedreference | Long, W., Naimi, S., Criscitiello, M., & Jayes, R. ( 1987 ). The development and use of a causal model for reasoning about heart failure. IEEE symposium on computer applications in medical care (pp. 30 – 36 ). | en_US |
dc.identifier.citedreference | Luenberger, D. ( 1984 ). Linear and nonlinear programming. Reading, MA: Addison‐Wesley. | en_US |
dc.identifier.citedreference | Malt, B., & Smith, E. E. ( 1984 ). Correlated properties in natural categories. Journal of Verbal Learning and Verbal Behavior, 1, 250 – 269. | en_US |
dc.identifier.citedreference | Medin, D., Altom, M., Edelson, S., & Freko, D. ( 1982 ). Correlated symptoms and simulated medical diagnosis. Journal of Experimental Psychology: Learning, Memory, and Cognition, 1, 37 – 50. | en_US |
dc.identifier.citedreference | Medin, D. L., & Shoben, E. J. ( 1988 ). Context and structure in conceptual combination. Cognitive Psychology, 1, 158 – 190. | en_US |
dc.identifier.citedreference | Minsky, M. ( 1981 ). A framework for representing knowledge. In J. Haugeland (Ed.), Mind design. Cambridge, MA: MIT Press. | en_US |
dc.identifier.citedreference | Minsky, M. ( 1986 ). The society of mind. New York: Simon & Schuster. | en_US |
dc.identifier.citedreference | Murtagh, B., & Saunders, M. ( 1992 ). Minos 5.4. Systems Optimization Laboratory, Stanford University. | en_US |
dc.identifier.citedreference | Neapolitan, R. ( 1990 ). Probabilistic reasoning in expert systems. New York: Wiley. | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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