Titlebook: Contributions to Mathematical Psychology, Psychometrics, and Methodology; Gerhard H. Fischer,Donald Laming Book 1994 Springer-Verlag New Y

aerial

Beteiligten- und Proze?f?higkeit; Vertretungs of the choice probabilities of choosing a stimulus from a finite set of stimuli that is “composed” of the unforced elementary response probabilities. This study starts, as usual, from the individual level of choice and extends our composition rule to the case of collective choice.

BUMP

Metrics in Color Spaces: Im Kleinen und im Gro?ens in a space denoted (.) as line-elements and the Munsell solid defined in another space as a structure in which supra-threshold color differences are represented. These ideas and also the relationship between these two “metrics” are discussed with special attention to two different modes of appeara

disrupt

Exuberance

The Gravity Lens Illusion and its Mathematical Model using a geometric model in which the large circle induces changes in the geometrical properties of a surrounding “perception manifold” involving an analogy with general relativity theory in which a massive object changes the geometry of physical space. We regard perceived objects and their orientat

NADIR

Analysis of a Model for Source Monitoringch subjects study items from several different sources and later are tested for their ability to recognize the source of each item. The extended model is identifiable, it can handle an arbitrary number of sources, and it enables one to disentangle response bias factors from memory capacities. The mo

PAGAN

BULLY

Finite Markov Learning Models for Knowledge Structuresthe empty state to the full domain of the structure. Any one of these models sets constraints on the probability distribution on the collection of knowledge states, thereby reducing considerably the number of parameters that need to be estimated. Such models are intended for use at an early stage in

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現(xiàn)任者

Knowledge Spaces and Skill Assignmentsed knowledge of individuals by latent skills. We here reconcile these two underlying approaches by showing that each finite knowledge space can be generated from a skill assignment that is minimal and unique up to an isomorphism. Some more technicalities are required in the infinite case. Part of th

ADOPT

Construction of Knowledge Spaces for Problem Solving in Chesssi-ordinal knowledge spaces to be constructed with the help of the formal principles ‘set inclusion’. and ‘sequence inclusion’ from basic units of knowledge. The basic units for constructing the surmise relation in chess are the tactical elements of the game — the ‘motives’. In terms of problem solv