In the present research, the authors examined contextual variations in automatic attitudes. Using 2 measures of automatic attitudes, the authors demonstrated that evaluative responses differ qualitatively as perceivers focus on different aspects of a target’s social group membership (e.g., race or gender). Contextual variations in automatic attitudes were obtained when the manipulation involved overt categorization (Experiments 1–3) as well as more subtle contextual cues, such as category distinctiveness (Experiments 4–5). Furthermore, participants were shown to be unable to predict such contextual influences on automatic attitudes (Experiment 3). Taken together, these experiments support the idea of automatic attitudes being continuous, online constructions that are inherently flexible and contextually appropriate, despite being outside conscious control.

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Major biases and stereotypes in group judgments are reviewed and modeled from a recurrent connectionist perspective. These biases are in the areas of group impression formation (illusory correlation), group differentiation (accentuation), stereotype change (dispersed vs. concentrated distribution of inconsistent information), and group homogeneity. All these phenomena are illustrated with well-known experiments, and simulated with an autoassociative network architecture with linear activation update and delta learning algorithm for adjusting the connection weights. All the biases were successfully reproduced in the simulations. The discussion centers on how the particular simulation specifications compare with other models of group biases and how they may be used to develop novel hypotheses for testing the connectionist modeling approach and, more generally, for improving theorizing in the field of social biases and stereotype change. Petite, attractive, intelligent, WSF, 30, fond of music, theatre, books, travel, seeks warm, affectionate, fun-loving man to share life’s pleasures with view to lasting relationship. Send photograph. Please no

This article discusses a recurrent connectionist network, simulating empirical phenomena usually explained by current dual-process approaches of attitudes, thereby focusing on the processing mechanisms that may underlie both central and peripheral routes of persuasion. Major findings in attitude formation and change involving both processing modes are reviewed and modeled from a connectionist perspective. We use an autoassociative network architecture with a linear activation update and the delta learning algorithm for adjusting the connection weights. The network is applied to well-known experiments involving deliberative attitude formation, as well as the use of heuristics of length, consensus, expertise, and mood. All these empirical phenomena are successfully reproduced in the simulations. Moreover, the proposed model is shown to be consistent with algebraic models of attitude formation (Fishbein & Ajzen, 1975). The discussion centers on how the proposed network model may be used to unite and formalize current ideas and hypotheses on the processes underlying attitude acquisition and how it can be deployed to develop novel hypotheses in the attitude domain.

Although commentators periodically declare that Freud is dead, his repeated burials lie on shaky grounds. Critics typically attack an archaic version of psychodynamic theory that most clinicians similarly consider obsolete. Central to contemporary psychodynamic theory is a series of propositions about (a) unconscious cognitive, affective, and motivational processes; (b) ambivalence and the tendency for affective and motivational dynamics to operate in parallel and produce compromise solutions; (c) the origins of many personality and social dispositions in childhood; (d) mental representations of the self, others, and relationships; and (e) developmental dynamics. An enormous body of research in cognitive, social, developmental, and personality psychology now supports many of these propositions. Freud's scientific legacy has implications for a wide range of domains in psychology, such as integration of affective and motivational constraints into connectionist models in cognitive science. Freud, like Elvis, has been dead for a number of years but continues to be cited with some regularity. Although the majority of clinicians report that they rely to some degree upon psychodynamic 1 principles

A central theme in recent research on attitudes is the distinction between deliberate, “explicit” attitudes and automatic, “implicit” attitudes. The present article provides an integrative review of the available evidence on implicit and explicit attitude change that is guided by a distinction between associative and propositional processes. Whereas associative processes are characterized by mere activation independent of subjective truth or falsity, propositional reasoning is concerned with the validation of evaluations and beliefs. The proposed Associative-Propositional Evaluation Model (APE Model) makes specific assumptions about the mutual interplay of the two processes, implying several mechanisms that lead to symmetric or asymmetric changes in implicit and explicit attitudes. The model integrates a broad range of empirical evidence and implies several new predictions for implicit and explicit attitude change.

How is information transmitted in a group? A multi-agent connectionist model is proposed that combines features of standard recurrent models to simulate the process of information uptake, integration and memorization within individual agents, with novel aspects that simulate the communication of beliefs and opinions between agents. A crucial aspect in belief updating based on information from other agents is the trust in the information provided, implemented as the consistency with the receiving agents’ existing beliefs. Trust leads to a selective propagation and thus filtering out of less reliable information, and implements Grice’s (1975) maxims of quality and quantity in communication. By studying these communicative aspects within the framework of standard models of information processing, the unique contribution of communicative mechanisms beyond intra-personal factors was explored in simulations of key phenomena involving persuasive communication and polarization, lexical acquisition, spreading of stereotypes and rumors, and a lack of sharing unique information in group decisions.

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