Power fosters context-independent, analytic cognition

The present research tested the hypothesis that power, defined as the capacity to influence others, promotes analytic cognitive processing, by examining the use of linguistic categories and the categorization of objects. Supporting the hypothesis, recalling instances of influencing others facilitated the use of adjectives and discouraged the use of verbs to describe others (Study 1). Recalling instances of influencing others also promoted taxonomic, instead of thematic, categorization (Study 2). Furthermore, the authors also examined the effect of power in a real-life context. They examined whether socioeconomic status (SES) differences in cognitive processing can be partly explained by sense of agency, an antecedent of power (Study 3); high SES individuals made more taxonomic categorization than did low SES individuals, and a sense of agency partially mediated the SES differences in categorization. These findings underscore the role of power in shaping cognitive processes.     

自然物体分类的ERP研究

对事物进行分类的能力是人类的一种基本认知功能。该文主要就近年来自然物体分类的事件相关电位（ERP）研究情况进行综述。首先介绍与自然物体分类有关的ERP早晚期成分;接着讨论了快速视觉分类的加工机制,认为前馈机制在这种复杂分类任务的视觉加工过程中起重要作用;最后详细介绍了两个分离的视觉加工机制,认为自然物体的视觉分类在不同时程涉及不同机制：即首先是任务无关的早期知觉加工过程,其次是任务相关的、类别无关的加工机制,与被试的决策有关。也讨论了这两个分离的加工过程涉及的神经基础。     

分类中相似性的理论与模型

相似性在分类的原型理论、样例理论、定义理论和理论解释观中都扮演着重要的角色。人们对相似性的研究由来已久,但是它在分类的领域中至今仍是一个相对模糊的概念,这部分地由于揭示相似性的真正机制将涉及到复杂的信息加工过程。本文以分类中的相似性为出发点介绍了近期相似性研究的一些理论与模型并在此基础上对概念和分类领域中的相似性研究进行了分析和总结。     

Empathy,social skills,and other relevant cognitive processes in rapists and child molesters

Considerable theoretical and research efforts have gone into formulations which suggest that sex offenders differ from nonoffenders in their processing of sexual material. This article reviews the literature concerning patterns of empathy, social skills, and other cognitive processes (i.e., theories, attitudes, and distorted cognitions) of incarcerated sex offenders or those who have identified themselves as sex offenders. We choose these three general topic areas because many see these phenomena as central to the understanding of sex offending. First, we present general empirical findings relevant to the phenomena of empathy, social skills, and distorted cognitions. We then move to a discussion of specific cognitive models that have been offered to account for the data. We briefly discuss the available data relevant to these cognitive models. The next section of the article reviews the treatments that have been applied to sex offenders with the stated goal of modifying the processes we are examining. Our final section attempts to summarize and highlight some of the identified problems and weaknesses in the study of the aforementioned processes in sex offending. We argue that too little attention has been paid to basic cognitive psychology and the role that cognitions or conceptualizations can play in promoting our understanding of the sex offender. We suggest that following the information processing approach as a generalized model will help integrate and direct research efforts.     

Absolute pitch: perception, coding, and controversies

Recent findings in cognitive neuroscience and cognitive psychology are converging to shed light on the nature of processing, categorization and memory for pitch in humans and animals. Although most people are unable to name or place pitch values in consistent, well-defined categories, as they do for color, stable long-term memory for pitch has been shown in certain animal species, in infants, and in both adult musicians and non-musicians. 'Absolute pitch', the rare ability to label pitches without external reference, appears to require acquisition early in life, and involves specialized brain mechanisms, now partially identified. Research on pitch coding strategies informs wider theories in cognitive science of semantic memory, and the nature of perceptual categories.     

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.     

A mechanism for error detection in speeded response time tasks

The concept of error detection plays a central role in theories of executive control. In this article, the authors present a mechanism that can rapidly detect errors in speeded response time tasks. This error monitor assigns values to the output of cognitive processes involved in stimulus categorization and response generation and detects errors by identifying states of the system associated with negative value. The mechanism is formalized in a computational model based on a recent theoretical framework for understanding error processing in humans (C. B. Holroyd & M. G. H. Coles, 2002). The model is used to simulate behavioral and event-related brain potential data in a speeded response time task, and the results of the simulation are compared with empirical data.     

群体交叉分类效应的代数模型及其潜在加工过程

交叉分类被认为是一种能够有效减少群际偏见的方法。交叉分类效应的代数模型主要包括平均模型、相加模型和等价模型,各个模型都有自己成立的证据,其中支持相加模型的研究证据最多。尽管如此,交叉分类效应的代数模型有很明显的局限,即要求所有进行交叉的类别维度权重相等,这与真实社会情境是相矛盾的。交叉分类的潜在加工过程主要有基于认知角度的类别差异模型和基于动机角度的社会认同两种比较成熟的理论,前者又分为类别差异消除模型和类别差异减少模型。     

Parameters, Predictions, and Evidence in Computational Modeling: A Statistical View Informed by ACT-R

Model validation in computational cognitive psychology often relies on methods drawn from the testing of theories in experimental physics. However, applications of these methods to computational models in typical cognitive experiments can hide multiple, plausible sources of variation arising from human participants and from stochastic cognitive theories, encouraging a "model fixed, data variable" paradigm that makes it difficult to interpret model predictions and to account for individual differences. This article proposes a likelihood-based, "data fixed, model variable" paradigm in which models are treated as stochastic processes in experiments with participant-to-participant variation that can be applied to a broad range of mechanistic cognitive architectures. This article discusses the implementation and implications of this view in model validation, with a concrete focus on a simple class of ACT-R models of cognition. This article is not intended as a recipe for broad application of these preliminary, proof-of-concept methods, but as a framework for communication between statisticians searching for interesting problems in the cognitive modeling sphere, and cognitive modelers interested in generalizing from deterministic to stochastic model validation, in the face of random variation in human experimental data.     

How cognitive modeling can benefit from hierarchical Bayesian models

Hierarchical Bayesian modeling provides a flexible and interpretable way of extending simple models of cognitive processes. To introduce this special issue, we discuss four of the most important potential hierarchical Bayesian contributions. The first involves the development of more complete theories, including accounting for variation coming from sources like individual differences in cognition. The second involves the capability to account for observed behavior in terms of the combination of multiple different cognitive processes. The third involves using a few key psychological variables to explain behavior on a wide range of cognitive tasks. The fourth involves the conceptual unification and integration of disparate cognitive models. For all of these potential contributions, we outline an appropriate general hierarchical Bayesian modeling structure. We also highlight current models that already use the hierarchical Bayesian approach, as well as identifying research areas that could benefit from its adoption.     

Numerical predictions for serial, parallel, and coactive logical rule-based models of categorization response time

Recent theoretical advances in theories of categorization response times have made it possible to differentiate mental architectures that specify how processes occurring over several information-processing channels are combined (e.g., in serial or in parallel). This article introduces the numerical computations necessary to generate predictions for a class of logical rule-based models that have recently been used to account for speeded perceptual categorization judgments (Fifi?, M., Little, D.R. & Nosofsky, R. M. . Psychological Review, 117:309–348, 2010).     

The mind beyond our immediate awareness: Freudian, Jungian, and cognitive models of the unconscious

Abstract: Several branches of cognitive science now focus on the nature of the unconscious. This paper explores some of the findings and models from this research. By introducing formulations based on non‐clinical data, the cognitive scientists—in neural linguistics, computational modelling, and neuroscience—may depart from the older psychoanalytic formulations. An understanding of unconscious neural processes is nevertheless emerging showing how synapses are modified by experience and how learning, conscious and unconscious, is due to this important aspect of brain plasticity. Freud and Jung's formulations about the unconscious psyche, representing the main tenets of depth psychology, are also based on a conception of the mind as extending beyond immediate awareness. However, their models are more hypothetical in that their data, almost exclusively, come from treatments of psychotherapy patients and their verbal accounts. So how do these two conceptions of the unconscious match, where do they differ? And how does the neural understanding in the present research support theories and practices of analytic treatments?     

Linking work conditions to unpleasant affect: Cognition,categorization and goals

Current approaches to work stress do not address in detail the mental processes by which work events cause unpleasant affect. We propose a cognitive account that incorporates: (1) the distinction between controlled and automatic information processing; (2) the categorization of emotionally relevant stimuli; (3) the role of mental models in coping choice; (4) the enactment of beneficial job conditions through coping; and (5) reciprocal influences between cognition and affect. We conclude by discussing how this account can help explain a range of findings in the work stress literature and how a cognitive approach to work stress informs practice.     

Prejudice,categorization and particularization: From a perceptual to a rhetorical approach

This paper seeks to offer an alternative approach to the study of prejudice than that based upon the notion of categorization which is currently influential in cognitive social psychology. It is argued that the categorization approach assumes the inevitability of prejudice and ignores the issue of tolerance. The assumptions of the categorization approach are criticized, and it is suggested that, by focusing on categorization as a cognitive process, it has overlooked an opposing process—that of particularization. The result has been a rather mechanical and bureaucratic model of cognition. A less mechanical view is possible if the relations between the two processes of categorization and particularization are considered from a rhetorical perspective, which examines the argumentative nature of thought. For theoretical and empirical reasons, this perspective does not equate prejudiced thinking with rigid categorization; instead a rhetorical approach permits a distinction between prejudice and tolerance on the basis of content, rather than form, and thereby avoids assuming the inevitability of prejudice.     

Training the brain: practical applications of neural plasticity from the intersection of cognitive neuroscience, developmental psychology, and prevention science

Prior researchers have shown that the brain has a remarkable ability for adapting to environmental changes. The positive effects of such neural plasticity include enhanced functioning in specific cognitive domains and shifts in cortical representation following naturally occurring cases of sensory deprivation; however, maladaptive changes in brain function and development owing to early developmental adversity and stress have also been well documented. Researchers examining enriched rearing environments in animals have revealed the potential for inducing positive brain plasticity effects and have helped to popularize methods for training the brain to reverse early brain deficits or to boost normal cognitive functioning. In this article, two classes of empirically based methods of brain training in children are reviewed and critiqued: laboratory-based, mental process training paradigms and ecological interventions based upon neurocognitive conceptual models. Given the susceptibility of executive function disruption, special attention is paid to training programs that emphasize executive function enhancement. In addition, a third approach to brain training, aimed at tapping into compensatory processes, is postulated. Study results showing the effectiveness of this strategy in the field of neurorehabilitation and in terms of naturally occurring compensatory processing in human aging lend credence to the potential of this approach. (PsycINFO Database Record (c) 2012 APA, all rights reserved).     

Inhibition and cognitive development: object,number, categorization,and reasoning

In the early 1990s, the concept of inhibition sparked a new surge of interest in cognitive psychology, both in North America and in Europe. In the framework of that research trend, it is proposed here that cognitive development cannot be reduced to the coordination–activation of structural units (as in Jean Piaget's structuralist theory and in the neo-structuralist models), but that development also often involves inhibiting a competing structure or scheme. This approach, which views the processes of selection–inhibition as age- and domain-specific, is illustrated by four experimental examples (from infancy to adulthood): object construction, number, categorization, and reasoning.     

The effect of embodied emotive states on cognitive categorization

Research has uncovered that positive affect broadens cognitive categorization. The motivational dimensional model, however, posits that positive affect is not a unitary construct with only one cognitive consequence. Instead, this model puts forth that there are different positive affects varying in approach motivational intensity. According to this model, only positive affects lower in motivational intensity should broaden cognitive processes, whereas positive affects higher in motivational intensity should narrow cognitive processes. Consistent with these predictions, high approach positive affect has been shown to narrow attention, whereas low approach positive affect has been shown to broaden it (Gable & Harmon-Jones, 2008). High approach positive affect, therefore, might narrow categorization. Two experiments investigated this possibility by having participants respond to cognitive categorization tasks in 3 body postures designed to elicit different levels of approach motivation: reclining backward, which should evoke low approach motivation; sitting upright, which should evoke moderate approach motivation; and leaning forward, which should evoke high approach motivation. Participants smiled while in each posture in order to experience positive affect. Experiment 1 provided initial support for the idea that high approach positive affect narrows categorization and low approach positive affect broadens categorization. Experiment 2 replicated these findings with improved smiling instructions. These results extend previous work by showing that the motivational model's predictions hold for basic attentional processes as well as higher level cognitive processes such as categorization.     

Modeling developmental cognitive neuroscience

In the past few years connectionist models have greatly contributed to formulating theories of cognitive development. Some of these models follow the approach of developmental cognitive neuroscience in exploring interactions between brain development and cognitive development by integrating structural change into learning. We describe two classes of these models. The first focuses on experience-dependent structural elaboration within a brain region by adding or deleting units and connections during learning. The second models the gradual integration of different brain areas based on combinations of experience-dependent and maturational factors. These models provide new theories of the mechanisms of cognitive change in various domains and they offer an integrated framework to study normal and abnormal development, and normal and impaired adult processing.     

Modeling spread,interlace and interchange of information processes with variable domains

In this paper a semantic metalanguage is developed and designed to study the occurrence, spread and safe interaction of semantic processes in information modeling systems, including cognitive interference. An approach to construe a semantic network is proposed and based on a computational model in which both nodes and arcs are information processes. Concepts are represented by intensional objects within the framework of theories without types, and they, in turn, are considered as special counterparts of typed theories. Similar mixing was used in model studies for lambda calculus. To a contrast with them, in this paper, information processes correspond to parameterized metadata objects, which are variable domain constructs. Transformations of variable domains correspond to the spread of the process. Directional transformation provides the generation of metadata targets in the form of parameterized concepts. This simulates the development of the process, which corresponds to the spread of cognitive interference and allows the interpretation of a hidden time factor. The emerging model is purely process based and provides such a conceptual framework. The possibility of coding this framework with a system of interdependent lambda terms is reflected.