Courage in the Trenches

No abstract available for this article.     

Comparing graphic and symbolic classification in interactive multiobjective optimization

In interactive multiobjective optimization systems, the classification of objective functions is a convenient way to direct the solution process in order to search for new, more satisfactory, solutions in the set of Pareto optimal solutions. Classification means that the decision maker assigns the objective functions into classes depending on what kind of changes in their values (in relation to the current values) are desirable. Here we study the role of user interfaces in implementing classification in multiobjective optimization software and how classification should be realized. In this way, we want to pay attention to the usability of multiobjective optimization software. Typically, this topic has not been of interest in the multiobjective optimization literature. However, usability aspect is important because in interactive classification‐based multiobjective optimization methods, the classification is the core of the solution process. We can say that the more convenient the classification is, the more efficient the system or the method is and the better it supports the work of the decision maker. We report experiments with two classification options, graphic and symbolic ones, which are used in connection with an interactive multiobjective optimization system WWW‐NIMBUS. The ideas and conclusions given are applicable for other interactive classification‐based method, as well. Copyright © 2005 John Wiley & Sons, Ltd.     

“Internally Wicked”: Investigating How and Why Essentialism Influences Punitiveness and Moral Condemnation

Kant argued that individuals should be punished “proportional to their internal wickedness,” and recent work has demonstrated that essentialism—the notion that observable characteristics reflect internal, biological, unchanging “essences”—influences moral judgment. However, these efforts have yielded conflicting results: essentialism sometimes increases and sometimes decreases moral condemnation. To resolve these discrepancies, we investigated the mechanisms by which essentialism influences moral judgment, focusing on perceptions of actors’ control over their behavior, the target of essentialism (particular behaviors vs. actors’ character), and the component of essentialism (biology vs. immutability). Participants punished people described as having a criminal essence more than those with a non-criminal essence or no essence. Probing potential mechanisms underlying this effect, we found a mediating role for perceptions of control and weak influences of essentialism focus (behavior vs. character) and component of essentialism (biology vs. immutability). These results extend prior work on essentialism and moral cognition, demonstrating a causal link between perceptions of “internal wickedness” and moral judgment. Our findings also resolve discrepancies in past work on the influence of essentialism on moral judgment, highlighting the role that perceptions of actors’ control over their behavior play in moral condemnation.     

Making the ineffable explicit: estimating the information employed for face classifications

When we look at a face, we readily perceive that person’s gender, expression, identity, age, and attractiveness. Perceivers as well as scientists have hitherto had little success in articulating just what information we are employing to achieve these subjectively immediate and effortless classifications. We describe here a method that estimates that information. Observers classified faces in high levels of visual noise as male or female (in a gender task), happy/unhappy (in an expression task), or Tom Cruise/John Travolta (in an individuation task). They were unaware that the underlying face (which was midway between each of the classes) was identical throughout a task, with only the noise rendering it more like one category value or the other. The difference between the average of noise patterns for each classification decision provided a linear estimate of the information mediating these classifications. When the noise was combined with the underlying face, the resultant images appeared to be excellent prototypes of their respective classes. Other methods of estimating the information employed in complex classification have relied on judgments of exemplars of a class or tests of experimenter-defined hypotheses about the class information. Our method allows an estimate, however subtle, of what is in the subject’s (rather than the experimenter’s) head.     

基于模式分类的中医医案分析技术

中医药经历数千年的发展,已积累了大量数据,特别是从古到今的医案数据,但这些数据因没有用现代信息手段整理、分析,而不能为中医药的科学研究提供支持。本文将模式分类技术应用于医案数据的分析中,从已知的病症推断出所属的证型。该方法能够进行自动学习,不需要专家的辅助即可从医案中学习到病症和证型的联系。     

Education Level,Occupational Classification,and Perceptions of Differences for Blacks in the United States

A random sample of 1,276 U.S. adults were surveyed about their perceptions of differences for Blacks in the United States based on discrimination, ability to learn, opportunities for education, and willpower. Those with little education and extensive education were more aware of discrimination for Blacks. Higher levels of education as well as professional and managerial work increased awareness that Blacks have the same ability to learn as Whites and that Blacks lack equitable opportunities for an education. Those with less education and those employed in technical and manual labor were the most likely to say Blacks lacked willpower.     

« Actes de conformation sexuée imposés aux personnes intersexuées : qualification pénale,responsabilité des médecins,sanctions »

Under French criminal law, acts of gendered conformation imposed on intersex persons can be qualified as volontary violence and, in some cases, volontary mutilating violence. French doctors who perform these acts may be held criminally liable. They can be sentenced to up to 20 years of imprisonment.     

Diagnostic Classification Models: Recent Developments,Practical Issues,and Prospects

More than three decades after their introduction, diagnostic classification models (DCM) do not seem to have been implemented in educational systems for the purposes they were devised. Most DCM research is either methodological for model development and refinement or retrofitting to existing nondiagnostic tests and, in the latter case, basically for model demonstration or constructs identification. DCMs have rarely been used to develop diagnostic assessment right from the start with the purpose of identifying individuals’ strengths and weaknesses (referred to as true applications in this study). In this article, we give an introduction to DCMs and their latest developments along with guidelines on how to proceed to employ DCMs to develop a diagnostic test or retrofit to a nondiagnostic assessment. Finally, we enumerate the reasons why we believe DCMs have not become fully operational in educational systems and suggest some advice to make their advent smooth and quick.