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Bayes Bayes.0 Bayes.l Bayesian learning Bayesian model Bayesian posterior behavior binary choice binary response blood pressure Burlosis CMP9 competing learning models competing models connectionist continuous choice continuous response current symptoms Daniel Friedman decision stage denoted earn Exemplar experiment feature values feed-forward feedback fitted parameter forecast error fuzzy logic given symptom History conditions History treatment icon implementation indicate indicator function individual subjects information processing integration stage internal parameters K.C. Fung Kletzer law of effect learning parameter learning rate likelihood ratio log odds Massaro medical diagnosis task medium high medium low Menzie David Chinn objective values optimal posterior probability present prior precision quadratic scoring rule reinforcement learning RL.l root mean squared Santa Cruz September 1997 sigmoid function squared prediction error stages of information Stephen N stimuli symptom configurations symptom levels symptom values symptoms and diseases temperature treatment cell trial trial-by-trial truth value University of California updating Yin-Wong Cheung