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A Source of Bayesian Priors

dc.contributor.authorOsherson, Danielen_US
dc.contributor.authorSmith, Edward E.en_US
dc.contributor.authorShafir, Eldaren_US
dc.contributor.authorGualtierotti, Antoineen_US
dc.contributor.authorBiolsi, Kevinen_US
dc.date.accessioned2013-06-18T18:32:23Z
dc.date.available2013-06-18T18:32:23Z
dc.date.issued1995-07en_US
dc.identifier.citationOsherson, 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.issn0364-0213en_US
dc.identifier.issn1551-6709en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/98184
dc.publisherLawrence Erlbaum Associates, Inc.en_US
dc.publisherWiley Periodicals, Inc.en_US
dc.titleA Source of Bayesian Priorsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelNeurosciencesen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michiganen_US
dc.contributor.affiliationotherUniversity of Lausanneen_US
dc.contributor.affiliationotherIstituto San Raffaeleen_US
dc.contributor.affiliationotherPrinceton Universityen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/98184/1/s15516709cog1903_4.pdf
dc.identifier.doi10.1207/s15516709cog1903_4en_US
dc.identifier.sourceCognitive Scienceen_US
dc.identifier.citedreferenceQuillian, M. R. ( 1968 ). Semantic memory. In M. Minsky (Ed.), Semantic information processing (pp. 216 – 260 ). Cambridge, MA: MIT Press.en_US
dc.identifier.citedreferenceNuefeld, 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.citedreferenceOsherson, D. ( 1987 ). New axioms for the contrast model of similarity. Journal of Mathematical Psychology, 1 ( 1 ), 93 – 103.en_US
dc.identifier.citedreferenceOsherson, D., Shafir, E., & Smith, E. E. ( 1994 ). Extracting the coherent core of human probability judgment. Cognition, 1, 299 – 313.en_US
dc.identifier.citedreferenceOsherson, 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.citedreferenceOsherson, D., Smith, E. E., & Shafir, E. ( 1986 ). Some origins of belief. Cognition, 1, 197 – 224.en_US
dc.identifier.citedreferenceOsherson, D., Smith, E. E., Wilkie, O., López, A., & Shafir, E. ( 1990 ). Category based induction. Psychological Review, 1, 185 – 200.en_US
dc.identifier.citedreferenceOsherson, D., Stern, J., Wilkie, O., Stob, M., & Smith, E. ( 1991 ). Default probability. Cognitive Science, 1, 251 – 270.en_US
dc.identifier.citedreferencePress, 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.citedreferenceRumelhart, 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.citedreferenceShafir, E., Smith, E., & Osherson, D. ( 1990 ). Typicality and reasoning fallacies. Memory and Cognition, 1 ( 3 ), 229 – 239.en_US
dc.identifier.citedreferenceSloman, S. A. ( 1993 ). Feature based induction. Cognitive Psychology, 1 ( 2 ), 231 – 280.en_US
dc.identifier.citedreferenceSloman, S. A. (in press). When explanations compete: The role of explanatory coherence on judgments of likelihood. Cognition.en_US
dc.identifier.citedreferenceSmith, 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.citedreferenceSmith, E. E., Osherson, D., Rips, L., & Keane, M. ( 1988 ). Combining prototypes: A selective modification model. Cognitive Science, 1, 485 – 527.en_US
dc.identifier.citedreferenceSmith, E. E., Shafir, E., & Osherson, D. ( 1993 ). Similarity, plausibility, and judgments of probability. Cognition, 1, 67 – 96.en_US
dc.identifier.citedreferenceStern, J. ( 1991 ). Default reasoning about probability. Unpublished doctoral dissertation, Massachusetts Institute of Technology, Cambridge.en_US
dc.identifier.citedreferenceSzolovits, P., & Pauker, S. ( 1978 ). Categorical and probabilistic reasoning in medical diagnosis. Artificial Intelligence, 1, 115 – 144.en_US
dc.identifier.citedreferenceTversky, A. ( 1977 ). Features of similarity. Psychological Review, 1 ( 4 ), 327 – 362.en_US
dc.identifier.citedreferenceTversky, A., & Gati, I. ( 1982 ). Similarity, separability, and the triangle inequality. Psychological Review, 1 ( 2 ), 123 – 154.en_US
dc.identifier.citedreferenceTversky, A., & Kahneman, D. ( 1983 ). Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment. Psychological Review, 1, 293 – 315.en_US
dc.identifier.citedreferencevan 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.citedreferenceWinterfeld, D. V., & Edwards, W. ( 1986 ). Decision analysis and behavioral research. New York: Cambridge University Press.en_US
dc.identifier.citedreferenceAndersen, 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.citedreferenceAndreassen, 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.citedreferenceBacchus, F. ( 1990 ). Representing and reasoning with probabilistic knowledge. Cambridge, MA: MIT Press.en_US
dc.identifier.citedreferenceBobrow, D., & Winograd, T. ( 1976 ). An overview of KRL, a knowledge representation language. Cognitive Science, 1 ( 1 ), 3 – 46.en_US
dc.identifier.citedreferenceCheng, 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.citedreferenceFranklin, J. ( 1980 ). Methods of mathematical economics. New York: Springer‐Verlag.en_US
dc.identifier.citedreferenceGeiger, 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.citedreferenceGregson, R. ( 1975 ). Psychometrics of similarity. New York: Academic.en_US
dc.identifier.citedreferenceHeit, E., & Rubinstein, B. (in press). Similarity and property effects in inductive reasoning. Journal of Experimental Psychology: Learning, Memory, and Cognition.en_US
dc.identifier.citedreferenceHempel, C. G. ( 1960 ). Inductive inconsistencies. Synthese, 1 ( 1 ), 28, 439 – 469.en_US
dc.identifier.citedreferenceHorvitz, 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.citedreferenceKahneman, D., Slovic, P., & Tverskky, A. (Eds.). ( 1982 ). Judgment under uncertainty: Heuristics and biases. Cambridge: Cambridge University Press.en_US
dc.identifier.citedreferenceKatz, J. ( 1972 ). Semantic theory. New York: Harper & Row.en_US
dc.identifier.citedreferenceLakoff, G. ( 1970 ). Linguistics and natural logic. Synthese, 1, 151 – 271.en_US
dc.identifier.citedreferenceLong, 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.citedreferenceLuenberger, D. ( 1984 ). Linear and nonlinear programming. Reading, MA: Addison‐Wesley.en_US
dc.identifier.citedreferenceMalt, B., & Smith, E. E. ( 1984 ). Correlated properties in natural categories. Journal of Verbal Learning and Verbal Behavior, 1, 250 – 269.en_US
dc.identifier.citedreferenceMedin, 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.citedreferenceMedin, D. L., & Shoben, E. J. ( 1988 ). Context and structure in conceptual combination. Cognitive Psychology, 1, 158 – 190.en_US
dc.identifier.citedreferenceMinsky, M. ( 1981 ). A framework for representing knowledge. In J. Haugeland (Ed.), Mind design. Cambridge, MA: MIT Press.en_US
dc.identifier.citedreferenceMinsky, M. ( 1986 ). The society of mind. New York: Simon & Schuster.en_US
dc.identifier.citedreferenceMurtagh, B., & Saunders, M. ( 1992 ). Minos 5.4. Systems Optimization Laboratory, Stanford University.en_US
dc.identifier.citedreferenceNeapolitan, R. ( 1990 ). Probabilistic reasoning in expert systems. New York: Wiley.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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