社会分类的概念、线索及影响机制

作为社会认知的基本过程和重要途径,社会分类对预测刻板印象和群际感知、减少多元文化群体中的关系冲突、促进推理与决策以及指导社会关系推断等都有重要作用。人们进行社会分类的线索可以概括为明显线索和模糊线索、自然线索和社会线索以及静态线索和动态线索。社会分类会受到分类对象、情境和感知者等的作用,同时对人们认知、情绪、情感和行为等产生一系列影响。未来可以基于跨文化和发展视角探讨社会分类的线索偏向、潜在机制及立足本土文化检验社会分类的影响及干预策略。     

类别学习和分类运用的神经机制

从类别学习和分类运用(包括非人类对象分类和社会分类)两个方面阐述了分类的神经机制。类别学习主要与新皮层、内侧颞叶、基底神经节、中脑多巴胺能系统有关, 不同类别的学习会激活这些神经系统间不同的连接。对非人类对象分类时, 不同类型、级别、熟悉度及相似度类别分类的神经机制不同, 分类对象的清晰度、类别不确定性会影响分类的神经机制, 在分类进程的不同时段会出现对应的ERP指标。社会分类时个体先注意到外群体再加工内群体, 且对内群体的加工更深, P200和N200是对内、外群体区分的特异性波, 内外群体分类时, 内群体激活梭状回和扣带回后部, 外群体激活杏仁核。文章最后比较了人类和灵长类动物分类神经机制的异同, 并指出社会分类和非人类对象分类神经机制的整合以及人类和灵长类动物分类神经机制的比较是今后研究需要关注的问题。     

How social and non-social information influence classification decisions: A computational modelling approach

Social information such as observing others can improve performance in decision making. In particular, social information has been shown to be useful when finding the best solution on one’s own is difficult, costly, or dangerous. However, past research suggests that when making decisions people do not always consider other people’s behaviour when it is at odds with their own experiences. Furthermore, the cognitive processes guiding the integration of social information with individual experiences are still under debate. Here, we conducted two experiments to test whether information about other persons’ behaviour influenced people’s decisions in a classification task. Furthermore, we examined how social information is integrated with individual learning experiences by testing different computational models. Our results show that social information had a small but reliable influence on people’s classifications. The best computational model suggests that in categorization people first make up their own mind based on the non-social information, which is then updated by the social information.     

交叉分类及其对刻板印象的影响

社会分类(分类)是群体认知和印象评价的依据, 交叉分类作为一种认知过程, 是指在知觉或评价他人时, 同时在两个或多个类别维度上进行社会分类, 形成在多个类别维度上内外群体身份的交叉。研究发现交叉分类既可以降低刻板印象, 也可以增强刻板印象。对此, 类别化视角的解释强调群体身份的作用, 而个体化视角的解释强调多重类别背景下去类别化的作用。现有的研究在如何理解并考察这一影响的不同方向上仍存在分歧, 同时, 也未能认识到刻板印象对于个体认知与认同的意义, 存在明显不足。今后的研究应重点探讨类别化视角的动机与认知过程, 个体化视角的优势类别与加工方式, 以及以自我归类为基础的整合。     

Category learning and multiple memory systems

Categorization is a vitally important skill that people use every day. Early theories of category learning assumed a single learning system, but recent evidence suggests that human category learning may depend on many of the major memory systems that have been hypothesized by memory researchers. As different memory systems flourish under different conditions, an understanding of how categorization uses available memory systems will improve our understanding of a basic human skill, lead to better insights into the cognitive changes that result from a variety of neurological disorders, and suggest improvements in training procedures for complex categorization tasks.     

Humanistic‐experiential therapies in the treatment of generalised anxiety: A perspective

This study discusses the current status of evidence‐based psychological therapies for generalised anxiety disorder (GAD). It points to the dominance of cognitive‐behavioural therapies (CBTs) and compares this dominance with the position of humanistic‐experiential therapies (HEPs) in this area. The paper hypothesises several reasons for this situation, including historical developments as well as HEPs’ ambivalence around embracing mainstream mental health classification systems, and corresponding types of research. The paper then highlights some recent developments in HEPs for anxiety disorders (particularly emotion‐focused therapy; EFT); developments that are breaking new conceptual grounds while also generating new outcome research.     

Social Categorization and the Perception of Groups and Group Differences

The classification of human beings into distinct groups is a fundamental feature of social perception. Problematic phenomena, such as prejudice, discrimination, and intergroup conflict, are commonly traced back to categorization. We explore the minimal conditions under which categorization occurs and the basic mechanisms by which it affects cognition and behavior. We show that comparisons between groups are not necessary for categorization, reveal the conditions under which people overestimate or underestimate differences between groups, and sketch a model showing how social categorization gives rise to differences in the evaluation of ingroups and outgroups and to differences in the accuracy of judgments of ingroups and outgroups. We conclude with reflections on intergroup conflict and the role of moral judgment in such conflicts.     

Evaluation is a Dynamic Process: Moving Beyond Dual System Models

Over the past few decades, dual attitude/process/system models have emerged as the dominant framework for understanding a wide range of psychological phenomena. Most of these models characterize the unconscious and conscious mind as being built from discrete processes or systems: one that is reflexive, automatic, fast, affective, associative, and primitive, and a second that is deliberative, controlled, slow, cognitive, propositional, and more uniquely human. Although these models serve as a useful heuristic for characterizing the human mind, recent developments in social and cognitive neuroscience suggest that the human evaluative system, like most of cognition, is widely distributed and highly dynamic. Integrating these advances with current attitude theories, we review how the recently proposed Iterative Reprocessing Model can account for apparent dual systems as well as discrepancies between traditional dual system models and recent research revealing the dynamic nature of evaluation. Furthermore, we describe important implications this dynamical system approach has for various social psychological domains.     

Representation and learning in motor action – Bridges between experimental research and cognitive robotics

To gain a better understanding of the functionality of representation and categorization in action and interaction, it is fundamental that researchers understand how movements are represented in long-term memory. It is our position that human motor control requires that our actions be planned and represented in terms of intended perceptual effects and future task demands, and that the individual has a well-structured mental representation of the task so that the movement can be carried out successfully. Basic Action Concepts (BACs) are identified as major building blocks of cognitive representation in long-term memory, which are cognitive tools used to master the functional demands of movement tasks. In this paper, we consider relevant issues in research methodology and present an experimental method that can be used to assess action-relevant representational structures. This method permits us to observe the strong relationship between cognitive representation and performance in manual action. For example, the specific differences in the mental representations of participants are strongly related to skill level, as well as biomechanical and task constraints. We then discuss results from our learning experiments, where we have examined the development and changes in cognitive representation over time. From these experiments we have found that cognitive reference structures include task-specific spatial information, which provides the basis for action control in skilled voluntary movement. We have implemented these results on various robotic platforms. We argue that the insights gained from various experimental approaches in the field of cognitive psychology and motor control enable researchers to explore the possibilities and limitations of artificial control architectures in robot systems. Finally, we argue that this is not a unidirectional process. Researchers from the field of cognitive psychology and motor control can profit from the advances in technological systems, which enhance the understanding of human motor control in skilled voluntary action.     

The double‐edged sword of diversity: Toward a dual pathway model

Williams and O'Reilly (1998) published a seminal review of diversity research that has become a classic resource for researchers and practitioners alike. In the current review, we update the theoretical record by discussing traditional views of, as well as recent developments to, the 3 prominent frameworks used to understand diversity: social categorization, similarity‐attraction, and information and decision‐making. Furthermore, we propose a dual pathway model of diversity's effects that integrates all 3 frameworks. In our model, both positive and detrimental effects of diversity stem from processes of social categorization. Whereas these processes disrupt group functioning when intergroup bias is activated, when bias is not activated, we propose that social categorization and reduced attraction to dissimilar others will allow individuals in diverse rather than homogeneous groups to focus more on the task, anticipate differences in task‐relevant opinions and perspectives, and engage in more effortful information processing. Finding the balance is key.     

Psychological space and regulation of social behaviour

The theory of social categorization assumes that the social behaviour of people can be explained as a result of cognitive differentiation of social objects into dichotomous categories (in-group, out-group). An argument can be put forth that social Categorization is a specific instance of functioning of a cognitive system that operates as multidimensional psychological space. Distances between representations of objects in the space influence the process of application of judgements to the given object and to the degree of involvement instigated by a state of an object and tendency lo produce specific behavioural acts toward the object. Typically, the relationship has a characteristic of an exponential function. There are conditions (social and psychological) that foster a discontinuity in a functioning of a cognitive system and therefore, lead to a dichotomous classification of social phenomena, while in some other conditions a continuity may prevail. Data that seem to support the above conjecture are described.     

Prototypes,exemplars, and the natural history of categorization

The article explores—from a utility/adaptation perspective—the role of prototype and exemplar processes in categorization. The author surveys important category tasks within the categorization literature from the perspective of the optimality of applying prototype and exemplar processes. Formal simulations reveal that organisms will often (not always!) receive more useful signals about category belongingness if they average their exemplar experience into a prototype and use this as the comparative standard for categorization. This survey then provides the theoretical context for considering the evolution of cognitive systems for categorization. In the article’s final sections, the author reviews recent research on the performance of nonhuman primates and humans in the tasks analyzed in the article. Diverse species share operating principles, default commitments, and processing weaknesses in categorization. From these commonalities, it may be possible to infer some properties of the categorization ecology these species generally experienced during cognitive evolution.     

Joint action: bodies and minds moving together

The ability to coordinate our actions with those of others is crucial for our success as individuals and as a species. Progress in understanding the cognitive and neural processes involved in joint action has been slow and sparse, because cognitive neuroscientists have predominantly studied individual minds and brains in isolation. However, in recent years, major advances have been made by investigating perception and action in social context. In this article we outline how studies on joint attention, action observation, task sharing, action coordination and agency contribute to the understanding of the cognitive and neural processes supporting joint action. Several mechanisms are proposed that allow individuals to share representations, to predict actions, and to integrate predicted effects of own and others' actions.     

General recognition theory extended to include response times: Predictions for a class of parallel systems

General Recognition Theory (GRT; Ashby & Townsend, 1986) is a multidimensional theory of classification. Originally developed to study various types of perceptual independence, it has also been widely employed in diverse cognitive venues, such as categorization. The initial theory and applications have been static, that is, lacking a time variable and focusing on patterns of responses, such as confusion matrices. Ashby proposed a parallel, dynamic stochastic version of GRT with application to perceptual independence based on discrete linear systems theory with imposed noise (Ashby, 1989). The current study again focuses on cognitive/perceptual independence within an identification classification paradigm. We extend stochastic GRT and its implicated methodology for cognitive/perceptual independence, to an entire class of parallel systems. This goal is met in a distribution-free manner and includes all linear and non-linear systems satisfying very general conditions. A number of theorems are proven concerning stochastic forms of independence. However, the theorems all assume the stochastic version of decisional separability. A vital task remains to investigate the consequences of failures of stochastic decisional separability.     

Modelling individual difference in visual categorization

Recent years has seen growing interest in understanding, characterizing, and explaining individual differences in visual cognition. We focus here on individual differences in visual categorization. Categorization is the fundamental visual ability to group different objects together as the same kind of thing. Research on visual categorization and category learning has been significantly informed by computational modelling, so our review will focus both on how formal models of visual categorization have captured individual differences and how individual difference have informed the development of formal models. We first examine the potential sources of individual differences in leading models of visual categorization, providing a brief review of a range of different models. We then describe several examples of how computational models have captured individual differences in visual categorization. This review also provides a bit of an historical perspective, starting with models that predicted no individual differences, to those that captured group differences, to those that predict true individual differences, and to more recent hierarchical approaches that can simultaneously capture both group and individual differences in visual categorization. Via this selective review, we see how considerations of individual differences can lead to important theoretical insights into how people visually categorize objects in the world around them. We also consider new directions for work examining individual differences in visual categorization.     

Social psychology at the crossroads: Its encounter with cognitive and ecological psychology and the interactive perspective

This article discusses the implications for social psychology of recent developments in the neighbouring fields of cognitive and ecological psychology. The authors stress the importance of studying the cognitive processes directly instead of inferring them as hypothetical constructs from aggregate responses. This paradigmatic shift implies a change in the conduct of research from the traditional nomothetic perspective to a neo-idiographic one. A method of representational contextualization is offred to generate the affective and cognitive deep structure from surface, first order data. This structure identified as the internal environment, reflects simultaneously the construction of reality by a situated individual and the recoding rules operating in such a construction.     

Information search activity: An overview

IntroductionThis article exposes a brief history of information search models, from general and behavioural models to cognitive ones and presents recent theoretical advances in this research field.Literature findingsSince the beginning of 1990s, many theoretical models have tried to describe and predict the human behaviours involved in the information search tasks, and specifically when this activity is performed in computer systems. Some of these models elaborated by psychologists have attempted to infer the cognitive processes involved.DiscussionInformation search can be considered as a complex cognitive activity that involves various individual (cognitive, affective), contextual and social factors.ConclusionWe also suggest research issues to be developed in order to increase our knowledge in this area and we plead for further research on specific concepts depending on future and/or recent areas of interest.     

Response-time tests of logical-rule models of categorization

A recent resurgence in logical-rule theories of categorization has motivated the development of a class of models that predict not only choice probabilities but also categorization response times (RTs; Fifi?, Little, & Nosofsky, 2010). The new models combine mental-architecture and random-walk approaches within an integrated framework and predict detailed RT-distribution data at the level of individual participants and individual stimuli. To date, however, tests of the models have been limited to validation tests in which participants were provided with explicit instructions to adopt particular processing strategies for implementing the rules. In the present research, we test conditions in which categories are learned via induction over training exemplars and in which participants are free to adopt whatever classification strategy they choose. In addition, we explore how variations in stimulus formats, involving either spatially separated or overlapping dimensions, influence processing modes in rule-based classification tasks. In conditions involving spatially separated dimensions, strong evidence is obtained for application of logical-rule strategies operating in a serial-self-terminating processing mode. In conditions involving spatially overlapping dimensions, preliminary evidence is obtained that a mixture of serial and parallel processing underlies the application of rule-based classification strategies. The logical-rule models fare considerably better than major extant alternative models in accounting for the categorization RTs.     

Experiential structuring of psychological traits

The major object of this article is to examine the part that the organization of our experiences may play in the structuring of our psychological traits. How does an individual's learning history influence the formation of his or her psychological traits? This question is approached by considering the traits identified in diverse contexts that provide substantially different experiential histories for the developing individual. Examples of such contexts are taken from research on (1) affective and cognitive domains, (2) academic and practical intelligence, (3) trait development in different species, (4) trait structure across the life span, and (5) cross-cultural trait comparisons. Special attention is given to the role of formal schooling in the formation of cognitive traits and to the contribution of such technological developments as phonetic writing, counting and numerical systems, and Computers.