References

[1]   Fugard, A. J. B., Pfeifer, N., Mayerhofer, B. & Kleiter, G. D. (2011). How people interpret conditionals: Shifts towards the conditional event. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37, 635-648.

[2]   Tweney, R. D., Doherty, M. E., and Kleiter, G. D. (2010). The pseudodiagnosticity trap. Should subjects consider alternative hypotheses? Thinking and Reasoning, 16, 332-345.

[3]   Kleiter, G. D., Doherty, M. E., and Tweney, R. D. The pseudodiagnosticity trap. Comments on Crupi, Tentori and Lombardi. Unpublished manuscript.

[4]   Pfeifer, N. & Kleiter, G. D. (2010). Uncertain deductive reasoning. In K. Manktelow, Over, D. E., and S. Elqayam (Eds.), The science of reasoning: A Festschrift for Jonathan St B.T. Evans. Hove, UK: Psychology Press, 145–166.

[5]   Pfeifer, N. & Kleiter, G. D. (2010). The conditional in mental probability logic. In M. Oaksford & N. Chater (Eds.), Cognition and conditionals: Probability and logic in human thought. Oxford: Oxford University Press, 153–173.

[6]   Kleiter, G. D. (presently in work again) Structuring essential graphs. In T. Kroupa & J. Vejnarova (Eds.). Proceedings of the 8th Workshop on Uncertainty Processing, Liblice, CZ.

[7]   Pfeifer, N. & Kleiter, G. D. (2009). Framing human inference by coherence based probability logic. Journal of Applied Logic, 7(2), 206-217.

[8]   Pfeifer, N. and Kleiter, G. D. (2009). Mental probability logic. Commentary on Oaksford & Chater: Bayesian Rationality. The Probabilistic Approach to human reasoning. Behavioral and Brain Sciences. 32 (1).

[9]   Kleiter, G. D. (2007). Implications of natural sampling in base-rate tasks. Commentary on Barbey and Sloman, Base-rate respect: From ecological rationality to dual processes. Behavioral and Brain Sciences, 30, 241-297.

[10]   Pfeifer, N. and Kleiter, G. D. (2007). Human reasoning with imprecise probabilities: Modus ponens and Denying the antecedent. Proceedings of the 5th International Symposium on Imprecise Probability, Prague, CZ, pp. 347-356. http://www.sipta.org/isipta07/proceedings

[11]   Pfeifer, N. and Kleiter G. D. (2006). Towards a probability logic based on statistical reasoning. Proceedings of the 11th IPMU Conference (Information Processing and Management of Uncertainty in Knowledge-Based Systems), Paris (France), pp. 2308-2315.

[12]   Kleiter, G. D. (2006). Ordering and counting essential graphs. 7th Workshop on Uncertainty Processing, Mikulov, CZ, pp. 112-125.

[13]   Pfeifer, N. and Kleiter, G. D. (2006). Inference in conditional probability logic. Kybernetika, 42, 391-404.

[14]   Pfeifer, N. and Kleiter, G. D. (2006). Is human reasoning with nonmonotonic conditionals probabilistically coherent? Proceedings of the 7th Workshop on Uncertainty Processing, Mikulov, CZ, pp. 138-150.

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[16]   Pfeifer, N. and Kleiter, G. D. (2005). Coherence and nonmonotonicity in human reasoning. Synthese, 146(1-2), 93-109.

[17]   Pfeifer, N. and Kleiter, G. D. (2005). Towards a mental probability logic. Psychologica Belgica, 45, 71-99.

[18]   Kleiter, G. D. and Jiroušek, R. (2005). Perfect sequences: a contribution to structuring conditional independence models. In: Kroupa, R. and Vejnarová, J. (Eds.) Proceedings of the 8th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty. Oeconomica, 65-75.

[19]   Pfeifer, N. and Kleiter, G. D. (2005). Syllogistic reasoning with intermediate quantifiers. Technical report.

[20]   Kleiter, G. D. (2004). Enumerating equivalence classes of Bayesian networks by perfect sequences. Proceedings of the 10oth Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU). Perugia (Italy).

[21]   Jirousek, R., Kleiter, G. D., and Vejnarova, J. (2003) Guest editors of Soft Computing, 7, 5, Springer Verlag.

[22]   Kleiter, G. D. (2003). Enumerating essential graphs. 135-148.In Proceedings of the 6th Workshops on Uncertainty Processing. Hejnice. Czech Republic, September 24-27, 135-148.

[23]   Pfeifer, N. and Kleiter, G. D. (2003). Nonmonotonicity and human probabilistic reasoning. Proceedings of the 6th Workshop on Uncertainty Processing. Hejnice, CZ, 221-233.

[24]   Kleiter, G. D., Doherty, M. E., and Brake, G. L. (2002). The psychophysics metaphor in calibration research. In Sedlmeier, P. and Betsch, T. (Eds.), Frequency Processing and Cognition, Oxford University Press, Oxford, 239-255.

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[26]   Pfeifer, N. and Kleiter, G. D. (2002). Experiments on nonmonotonic reasoning. The coherence of human probability judgments. In Leitgeb, H. & Schurz, G. Proceedings of the 1st Salzburg Workshop on Paradigms of Cognition. Institut für Philosophie. Universitä Salzburg. A shortened version published in Synthese.

[27]   Kleiter, G. D. (1999). The posterior probability of Bayes nets with strong dependences. Soft Computing, 3, 162-173.

[28]   Kleiter, G. D. (1999). Structural probabilities in belief nets. In M. Mohammadian (Ed.), Computational Intelligence for Modelling, Control and Automation, Amsterdam, IOS Press, 461-463.

[29]   Kleiter, G. D. (1999). Structural uncertainty in Bayes nets. Proceedings of the Prague Stochastics ’98, Vol. I, Union of Czech Mathematicians and Physicists, 301-306.

[30]   G. D. Kleiter (1998). Arc structure probabilities in Bayes nets. Unpublished manuscript.

[31]   Müller, M. E. and Kleiter, G. D. (1998). Das Simpson-Paradoxon: Ein kognitiver Stolperstein probabilistischen Denkens. In J. Glück, O. Vitouch, M. Jirasko und B. Rollet (Hrsg), Perspektiven psychologischer Forschung in Österreich, Band 2, WUV/Universitätsverlag, Wien, 17-20.

[32]   Kleiter, G. D., Krebs, M., Doherty, M. E., Garavan, H., Chadwick, R., and Brake, G. (1997). Do subjects understand base rates? Organizational Behavior and Human Decision Processes, 72 (1), 25-61.

[33]   Brake, G. L., Doherty, M. E., & Kleiter, G. D. (1997). A Brunswikian Approach to Calibration of Subjective Probabilities.

[34]   Kleiter, G. D., (1996). Propagating imprecise probabilities in Bayesian networks. Artificial Intelligence, 88, 143-161.

[35]   Kleiter, G. D. and Jirousek, R. (1996). Learning Bayesian Networks under the Control of Mutual Information. In S. Moral et al. (eds.), Sixth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Granada, pp. 985-990.

[36]   Kleiter, G. D. (1996). Critical and natural sensitivity to base rates. Behavioral and Brain Sciences, 19, 27-29. [Comments to Jonathan J. Koehler: The base rate fallacy reconsidered: Descriptive, normative, and methodological challenges. Same journal and issue, p. 1-53]

[37]   Kleiter, G. D. (1994). The precision of Bayesian classification: The multivariate normal case. International Journal of General Systems, 22, 139-157.

[38]   Kleiter, G. D. (1992). The precision of Bayesian single case classification. In Analyzing and Modeling Data and Knowledge, M. Schader (ed), Springer, 47-54, Berlin.

[39]   Kleiter, G. D. (1992). Bayesian diagnosis by expert systems. Artificial Intelligence, 54, 1-32.

[40]   Kleiter, G. D. (1991). Incomplete knowledge: Its representation in psychology and artificial intelligence. In Kognitive Prozesse und geistige Leistung, F. Klix, E. Roth and E. van der Meer (eds.). Deutscher Verlag der Wissenschaften, Berlin, 106-147.

[41]   Kleiter, G. D. and Schwarzenbacher, K. (1989). Beyond the answer: Post-error processes. Cognition, 32, 255-277.

[42]   Kleiter, G. D. (1987). Cognitive representation of incomplete knowledge. In R. Viertl (Ed.), Probability and Bayesian Statistics, 305-320. Penum, New York.

[43]   Kleiter, G. D. (1986). Solving analogies by building propositions. In F. Klix and H. Hagendorf (Eds.), Human Memory and Cognitive Capabilities, pp. 977-986. Amsterdam: Elsevier.

[44]   Kleiter, G. D. (1981). Bayes-Statistik. Grundlagen und Anwendungen. De Gruyter. Berlin.