网络医疗的发展和思考

随着科学技术、网络技术迅猛的发展,许多互联网业务如网上求医、网上购药、网上保健也日渐火热,成为人们防治疾病的又一手段。网络医疗是网络科技与医疗技术结合的产物,在信息高速发展的今天,它已成为医学交流中一道亮丽的风景线,各国都在不遗余力发展自己的远程医疗系统,这无疑将推动医学模式的进步。然而作为一种新的医疗手段,网络医疗目前仍存在着诸多的弊端和问题,这些问题反过来又可制约网络医疗的发展,因此必须在技术、政策、法律各方面予以完善,使之更好地服务于人类。     

人工神经网络模型在心理学研究中的运用

人工神经网络是对真实神经元网络的粗略模拟,具有容错性、抗干扰性、高效性等特征,具有学习、记忆等强大的认知功能,因此适宜于心理学许多领域的模拟研究。借助神经网络模型不仅可以模拟和验证以往的实验室研究;还能深入探讨感知、联想、学习和记忆等认知过程的具体发生机理,把握其内在机制;它对探讨内隐记忆、内隐学习等无意识认知过程有极大的启发作用。     

Creativity Research Overlooks the Study of Resilience among Young Children: A Bibliometric Network Review

Creativity researchers are increasingly interested in understanding when, how, and for whom creativity can be beneficial. Previous reviews have demonstrated that creativity research largely ignores the study of its impact on factors that promote health, and well-being among populations of adults. It is unclear, in fact, whether this gap in research also extends to creativity research among young children. This paper addresses this issue. Early childhood is a crucial stage for the cognitive development of young children who remain highly sensitive to stress, and adversity. It is therefore essential to identify and promote factors that are beneficial to early childhood resilience, thereby contributing to documenting more of the effects of creative activities on positive outcomes. This paper presents a review with a bibliometric analysis of 1000 randomly selected articles from the Web of Science, without bias towards any specific peer-reviewed journal. The analysis of 454 included articles shows that approximately 80% of the included studies focus on creativity as an outcome (replicating previous findings with a larger sample), with only 3.78% investigating creative activities as predictors among young children. In this small percentage, most of the studies addressed creative activities in young children related to resilience outcomes.     

法则关系方法在研究中的应用及其问题思考

重要概念之间的理论关系或合理关系的连锁系统被称作是一个法则关系。法则关系包括原有模型、前因变量或结果变量。应用结构方程模型来检验法则关系中各组成部分之间的法则有效性,从而对原模型作进一步修正,该方法能够更加科学地揭示出多变量间的因果关系。文中还提到了应用法则关系方法时需要注意的问题,并指出未来的研究应当着重于进一步构建其理论框架、借助其来有效地开发和验证测量工具、以及探索该方法效度的影响因素等方向。     

The biological foundations of cognitive science

Cognitive Science originated in reactions against behaviorism that were motivated in significant part by the example of the computer. The computer raised the exciting possibility that mind could be understood almost entirely independently of brain: if the operations of the mind are akin to the execution of a program, then almost all the relevant aspects of mind would be captured by that program, independently of whatever was running it, be it transistors or neurons. This presumed independence of cognitive science from biology has waned considerably in recent decades, but in this paper, I argue that there is at least one crucial aspect of biology that has yet to be appreciated for its relevance to mental and other normative processes—the thermodynamics of living systems. In particular, I argue that the emergence of normativity in general—and normative function and representation in particular—depends on special systems that are far from thermodynamic equilibrium; these form the interface between the factual world of atoms and molecules and the normative world of mind. The nature of that emergence, in turn, imposes strong constraints on how the central nervous system functions, and, therefore, on how cognition is realized.     

Short-term gains, long-term pains: How cues about state aid learning in dynamic environments

Successful investors seeking returns, animals foraging for food, and pilots controlling aircraft all must take into account how their current decisions will impact their future standing. One challenge facing decision makers is that options that appear attractive in the short-term may not turn out best in the long run. In this paper, we explore human learning in a dynamic decision making task which places short- and long-term rewards in conflict. Our goal in these studies was to evaluate how people’s mental representation of a task affects their ability to discover an optimal decision strategy. We find that perceptual cues that readily align with the underlying state of the task environment help people overcome the impulsive appeal of short-term rewards. Our experimental manipulations, predictions, and analyses are motivated by current work in reinforcement learning which details how learners value delayed outcomes in sequential tasks and the importance that “state” identification plays in effective learning.     

Children's perception and understanding of (dis)similarities among dynamic bodily/facial expressions of happiness, pleasure, anger, and irritation

The current study examined the abilities of children (6 and 8 years of age) and adults to freely categorize and label dynamic bodily/facial expressions designed to portray happiness, pleasure, anger, irritation, and neutrality and controlled for their level of valence, arousal, intensity, and authenticity. Multidimensional scaling and cluster analyses showed that children (n = 52) and adults (n = 33) structured expressions in systematic and broadly similar ways. Between 6 and 8 years of age, there was a quantitative, but not a qualitative, improvement in labeling. When exposed to rich and dynamic emotional cues, children as young as 6 years can successfully perceive differences between close expressions (e.g., happiness, pleasure), and can categorize them with clear boundaries between them, with the exception of irritation, which had fuzzier borders. Children’s classifications were not reliant on lexical semantic abilities and were consistent with a model of emotion categories based on their degree of valence and arousal.     

An empirical and computational investigation of perceiving and remembering event temporal relations

Events have beginnings, ends, and often overlap in time. A major question is how perceivers come to parse a stream of multimodal information into meaningful units and how different event boundaries may vary event processing. This work investigates the roles of these three types of event boundaries in constructing event temporal relations. Predictions were made based on how people would err according to the beginning state, end state, and overlap heuristic hypotheses. Participants viewed animated events that include all the logical possibilities of event temporal relations, and then made temporal relation judgments. The results showed that people make use of the overlap between events and take into account the ends and beginnings, but they weight ends more than beginnings. Neural network simulations showed a self-organized distinction when learning temporal relations between events with overlap versus those without.     

进谏行为与组织公民行为的关系研究：诺莫网络视角

进谏行为和组织公民行为等角色外行为研究近年来备受关注。与组织公民行为相比,进谏行为是一个新的构念。本研究探索了进谏行为的构念内涵,并借鉴诺莫网络思路考察了进谏行为与组织公民行为的关系。问卷研究的结果表明：进谏行为能融入组织公民行为构念,领导公平和情感承诺对两者都具有正面影响,而大五中的宜人性维度对两者的影响表现出差异性;从事角色外行为会导致更高的工作满意感。研究证实了进谏行为与组织公民行为构念内涵的相似性及存在的细微差异。     

“认知科学”与“第二代认知科学”刍议

以计算隐喻为核心假设的传统认知心理学以及联结主义心理学均不能克服离身心智（disembodied mind）的根本缺陷,当代认知心理学正面临着新的范型转换。以具身性和情境性为重要特征的第二代认知科学将日受重视,并促使认知神经科学进入新的发展阶段。作者认为在身心关系上应该坚持生理只是心理的必要条件,而非充分条件的立场,克服生理还原论的危险;应该重新审视基于二元论的生理机制这种说法;心理学传统中的科学主义和人文主义有可能在第二代认知科学强调认知情境性的基础上达成某种融合;第一代认知科学对意识的研究是不成功的,因为对知觉、注意、记忆、思维等心理过程的研究不能代替意识的研究,同时还应避免以意识内容的研究取代心理学研究的倾向。第二代认知科学中的动力系统理论关于变量（因素）之间的偶合（coupling）关系完全不同于变差分析中的变量之间的交互作用关系”,其动力系统模式可能更有助于破解意识的产生（涌现）之谜,并引发心理学研究的方法论的变革新潮。第二代认知科学的兴起将启发人们对身心关系、生理还原论、意识研究在心理学中的地位、人工智能对心智完全模拟的可能性等重大问题重新思考