论宏观经济调控和管理中的若干伦理问题

宏观经济调控和管理中的伦理问题,是一个不可忽视的领域。中国是一个发展中国家,正处在从传统经济向现代市场经济转型,政府的宏观调控不可或缺;同时政府作为经济活动的主体,其行为也必须遵守适应市场经济运作的规则。     

Toward an Alliance Between the Issue-Processing Approach and Pragma-Dialectical Analysis

On the approach to discussions of policy choices that treats such discussions as instances of issue-processing, the joint use of the logic of questions and the logic of rules gives precise formulation to two sorts of issues. To one sort of issue belong issue-circumscribing questions; to another sort, issues-simplicter, which consist of disjunctions of policy proposals – so many proposed social rules – that are answers, in the case of each disjunction, to a given issue-circumscribing question. Work in pragma-dialectics can take over the issue-processing approach; and by doing so add to the pragma-dialectical repertory further dimensions in the analysis of issues and in protocol-narratives of discussion. The analysis and narratives would now include accounts of how issue-circumscribing questions generate initial standpoints and how discussions sometimes end with compromises between standpoints. Further research questions follow about transformations of issues and the comparison of successive rounds of discussion. A narrative of one period of discussion during `the War on Drugs' in the United States illustrates these points.     

The Brier Rule Is not a Good Measure of Epistemic Utility (and Other Useful Facts about Epistemic Betterness)

Measures of epistemic utility are used by formal epistemologists to make determinations of epistemic betterness among cognitive states. The Brier rule is the most popular choice (by far) among formal epistemologists for such a measure. In this paper, however, we show that the Brier rule is sometimes seriously wrong about whether one cognitive state is epistemically better than another. In particular, there are cases where an agent gets evidence that definitively eliminates a false hypothesis (and the probabilities assigned to the other hypotheses stay in the same ratios), but where the Brier rule says that things have become epistemically worse. Along the way to this ‘elimination experiment’ counter-example to the Brier rule as a measure of epistemic utility, we identify several useful monotonicity principles for epistemic betterness. We also reply to several potential objections to this counter-example.     

Accounting for Parcel-Allocation Variability in Practice: Combining Sources of Uncertainty and Choosing the Number of Allocations

Item parceling remains widely used under conditions that can lead to parcel-allocation variability in results. Hence, researchers may be interested in quantifying and accounting for parcel-allocation variability within sample. To do so in practice, three key issues need to be addressed. First, how can we combine sources of uncertainty arising from sampling variability and parcel-allocation variability when drawing inferences about parameters in structural equation models? Second, on what basis can we choose the number of repeated item-to-parcel allocations within sample? Third, how can we diagnose and report proportions of total variability per estimate arising due to parcel-allocation variability versus sampling variability? This article addresses these three methodological issues. Developments are illustrated using simulated and empirical examples, and software for implementing them is provided.     

Pabiku and Ga Ti Ga: Two Mechanisms Infants Use to Learn About the World

Some of the things that adults learn about language, and about the world, are very specific, whereas others are more abstract or rulelike. This article reviews evidence showing that infants, too, can very rapidly acquire both specific and abstract information, and considers the mechanisms that infants might use in doing so.     

Intelligent digital image firewall system for filtering privacy or sensitive images

As the commonest part of social networks, sharing images in social network not only provides more information, but also gives more intuitive view than text. However, images also can leak out information more easily than text, so the audit of image content is particularly essential. The disclosure of a tiny image, which involves sensitive information about individual, society even the state, may trigger a series of serious problems. In this paper, we design a kind of intelligent image firewall to detect and filter sensitive or privacy images. Two different approaches of the firewall are proposed. In the first approach, we propose an image firewall based on joint sparse representation, which can provide accurate and robust privacy prediction, and also can provide rich spatial relationship information. In the second approach, we propose a method based on the deep learning (Faster RCNN), which can predict the privacy relationships or actions (like kiss, hug and hand in hand) among the persons of an image. Experimental results show the effectiveness of the two kinds of approaches.     

Children’s understanding of depreciation in scenarios of envy and modesty

The aim of this study was to explore children’s understanding of depreciation when being presented with scenarios of envious or modest behavior. 123 Spanish children, six to eight years of age, decided how a character should respond when faced with a situation of envy or modesty. These situations were described in vignettes. The children chose between a response of either depreciation or admiration in the case of envy and between a response of either modesty or immodesty when faced with modest behavior. They were then asked to explain the reasons for their choices. Generally speaking, the results indicated that children rated self-depreciation in scenarios of modesty more highly than they did depreciation of another in situations of envy. An interaction effect showed that eight-year-old chose modest responses more than immodest ones, in contrast to the six-year-old. Conversely, age differences were not observed for the scenarios of envy. We discuss these results in light of the children’s explanations. Furthermore, the acquisition of emotional display rules is discussed, as well as the ability to manage emotions. Also, we discuss the truths and falsehoods of expression within the framework of social pragmatism in the selection of responses in both scenarios.     

员工非伦理行为如何招致同事攻击:道义公正视角

通过整合理性判断与道义公正模型,聚焦非伦理行为实施者被同事攻击的现象,提出员工的非伦理行为导致同事道义不公正,进而引发同事的攻击行为。并且,这个过程分别受到伦理领导的正向影响和任务互依性的负向影响。通过分析265组来自浙江省一家大型制造企业一线员工的双点数据,结果表明同事道义不公正在员工非伦理行为与其被同事攻击之间起到了中介作用;伦理领导正向调节了非伦理行为对同事道义不公正的影响,即伦理领导增强了员工非伦理行为对同事道义不公正的正向作用,从而导致同事攻击行为的产生;任务互依性负向调节了同事道义不公正与攻击行为之间的正向关系,并且减弱了同事道义不公正在员工非伦理行为与攻击行为之间的中介作用。研究结果为控制和预防职场非伦理行为提供了理论依据和实践启示。     

Stopping rule use during information search in design problems

Information search is critical in most decision-making tasks. An important aspect of information search is the stopping rule used by the decision maker to terminate information acquisition. Decision-making problems may be usefully decomposed into design problems and choice problems. The distinction is critical because the goals of stopping behavior in the two types of problems are quite different. In design problems, the focus is on the sufficiency of information obtained for problem structuring and generating alternatives, while choice problems focus on convergence toward a solution. While previous research has studied stopping behavior in choice problems, the present research is concerned with stopping rule use during information search in design problems. To build theory in this area, we conducted two experiments. In the first, we presented professional systems analysts with an information search problem in a systems development context and asked them to gather information for a proposed system. Protocols of the search sessions were analyzed, and stopping rules used and information gathered by the analysts were identified. Results indicated that the use of certain stopping rules resulted in greater quantity and quality of information gathered. Additionally, stopping rule use, rather than analyst experience, accounted for the quantity and quality of information elicited. Finally, stopping rule use differed between more experienced and less experienced analysts. To apply our findings about stopping rules from the first experiment, we performed a second experiment in which we investigated stopping rule use in a consumer information search task on the world wide web. Results indicated the use of the same stopping rules as in the first experiment, although in different proportions. Implications for information search theory and practice are discussed.     

Contrasting rule-based and similarity-based category learning: The effects of mood and prior knowledge on ambiguous categorization

This study adopts a dual-system view of category learning. The findings suggest that consumers who learn a dominant feature as a verbal rule for a product category will classify a new ambiguous product according to that feature even if it more closely resembles a different product category. The findings also demonstrate that dominant features can bias categorization toward a less prototypical category in the event that the new product breaks the rule. We refer to this phenomenon as criterial inferencing. Lastly, we offer unique empirical evidence to suggest that mood influences category learning and thus attenuates the criterial inferencing bias.