Mathematical psychology in progress

摘要: I - Theory, Metatheory, and Measurement.- Current directions in mathematical learning theory.- Transforming probabilities without violating stochastic dominance.- Formal models axiomatic measurement.- An approach towards testing bilinear attitude models.- The representation of dynamic structures.- Random variables qualitative probability representations.- Elements a model-theoretic framework for probabilistic II Choice, Perception, Cognition, Performance.- Some modified inhibition response time series.- Mental processing distraction.- A procedure facilitating an expert's judgements on set rules.- generalized "discounting the background" model extending traditional Grassmannian to colour vision.- Choice basis, multi-attribute preference: some more evidence.- elementary formal categorization corpus spelling errors.- Rules parallelprocessing networks with adaptive structure.- III Psychometrics Theory Data.- New results test theory answer key.- Item sampling, guessing, partial information decision-making achievement testing.- linear logistic heterogeneity cognitive strategies.- Testable conditions existence J-scale unfolding.- Graph theoretical representations proximities by monotonic network analysis (MONA).- Midpoint sequences, intransitive J scales, scale values unidimensional Predicting optimal threshold Boolean questionnaires.- impossibility theorem fair bidimensional representation: biproportional solution.- Thresholds independence proportional representation.- Author index.