Re-examining dominance of categories in impression formation: A test of dual-process models.

We carried out tests of the first 2 premises of the Continuum Model (CM) of impression formation (Fiske & Neuberg, 1990). These premises predict that category information will in general be more influential than noncategory information, and that the fit of noncategorical attributes with the category is a major determinant of the relative influence of these types of information. Using stimuli that included sets of (a) text items only, and (b) combinations of photos and text items, we found no support for these claims, even using alternative tests.

Modeling the dynamics of evaluation: a multilevel neural network implementation of the iterative reprocessing model.

We present a neural network implementation of central components of the iterative reprocessing (IR) model. The IR model argues that the evaluation of social stimuli (attitudes, stereotypes) is the result of the IR of stimuli in a hierarchy of neural systems: The evaluation of social stimuli develops and changes over processing. The network has a multilevel, bidirectional feedback evaluation system that integrates initial perceptual processing and later developing semantic processing.

A neural network model of the structure and dynamics of human personality.

We present a neural network model that aims to bridge the historical gap between dynamic and structural approaches to personality. The model integrates work on the structure of the trait lexicon, the neurobiology of personality, temperament, goal-based models of personality, and an evolutionary analysis of motives. It is organized in terms of two overarching motivational systems, an approach and an avoidance system, as well as a general disinhibition and constraint system.

A general connectionist model of attitude structure and change: the ACS (Attitudes as Constraint Satisfaction) model.

A localist, parallel constraint satisfaction, artificial neural network model is presented that accounts for a broad collection of attitude and attitude-change phenomena. The network represents the attitude object and cognitions and beliefs related to the attitude, as well as how to integrate a persuasive message into this network. Short-term effects are modeled by activation patterns due to parallel constraint satisfaction processes, and long-term effects are modeled by weight changes due to the settling patterns of activation.