Philosophy of Mind, Cognitive Science, andPedagogical Technique

Changes in the aims and methods of the philosophy of mind have occurred in recent decades. In particular, computer simulations have emerged as a means of constructing empirically and conceptually defensible theories of mind. This article explores pedagogical innovations that may be necessitated by these changes. One question raised is whether hands-on teaching of simulation methods should be a standard part of philosophy of mind courses. These courses, because of an increasing empirical orientation, are becoming more interdisciplinary, and certain consequences of this development are elaborated here.     

Experiencing Alien-Nation: Effects of a simulation intervention on attitudes toward homosexuals

The authors explored psychological mechanisms underlying a teaching exercise [Hillman, J., & Martin, R. A. (2002). Lessons about gay and lesbian lives: A spaceship exercise. Teaching of Psychology, 29, 308-311] that may improve attitudes toward homosexuals. Heterosexual participants were randomly assigned to a simulation intervention or control lecture condition. In the simulation condition, participants imagined life on an alien planet that inadvertently simulated situational constraints parallel to those faced by homosexuals. The simulation (vs. control lecture) produced significantly more intergroup perspective-taking, empathy, and favorable attitudes toward homosexuals and marginalized groups. Tests of a structural equation model supported the assumption that the simulation (vs. control) provided an experience that heightened intergroup perspective-taking, which indirectly predicted favorable attitudes via independent cognitive (inclusive intergroup representations) and affective (empathy) paths. The model held after statistically controlling for prior attitudes and ideological individual differences predicting anti-homosexual bias. Implications for prejudice-reduction simulations and intergroup contact are considered.     

基于GRM模型的BP神经网络参数估计

目前参数估计多采用统计方法,存在耗时长、要求被试样本容量大和项目数多等缺点。本文将BP神经网络和降维法相结合,对GRM的项目参数和考生能力参数进行估计。蒙特卡洛模拟结果显示：（1）不管是人多题少还是题多人少,该网络设计下的参数估计精度都较高;（2）可以应用到多个不同等级评分的参数估计中,甚至是超过15个等级的项目参数,估计精度也较高,这是其他参数估计方法所不可比拟的;（3）运行的时长和统计估计方法相比大大缩减。     

概化理论方差分量估计的跨分布分析

方差分量估计是进行概化理论分析的关键。采用MonteCarlo模拟技术,探讨心理与教育测量数据分布对概化理论各种方法估计方差分量的影响。数据分布包括正态、二项和多项分布,估计方法包括Traditional、Jackknife、Bootstrap和MCMC方法。结果表明:(1)Traditional方法估计正态分布和多项分布数据的方差分量相对较好,估计二项分布数据需要校正,Jackknife方法准确地估计了三种分布数据的方差分量,校正的Bootstrap方法和有先验信息的MCMC方法(MCMCinf)估计三种分布数据的方差分量结果较好;(2)心理与教育测量数据分布对四种方法估计概化理论方差分量有影响,数据分布制约着各种方差分量估计方法性能的发挥,需要加以区分地使用。     

Evidence for the external validity of a social simulation measure of social skills

Two studies were conducted in order to obtain evidence regarding the external validity of a social simulation measure of social skills. The first study employed a contrasted group design, with the groups consisting of National Guardsmen and psychiatric patients. As predicted, trained judges rated the performances of the National Guardsmen in the simulations as more skillful and appearing less anxious than the psychiatric patients. In the second study, trained judges' ratings of psychiatric patients' performances in the simulations were found to be significantly related to ratings made by interviewers who had conducted a structured social history interview with the patients, nurses' ratings based on their observations of patients after 3 days on the psychiatric unit, a research assistant's ratings based on contact with the patient during the experiment, and finally, the subject's own self-ratings. In discussing the findings, it is hypothesized that one reason why support was found for the external validity of the simulation strategy in this study, in contrast to some previously reported studies, was the use of molar ratings in this study as opposed to the more molecular rating procedures used in those previous studies.These studies were funded in part by a research grant from the Veterans Administration.     

识别不同编码方式符号的仿真研究

本研究利用计算机技术 ,以执行过程交互控制 (EPIC)理论框架为基础 ,建立了一个人类信息加工过程的计算模型 ,并对人在简单任务下的作业绩效进行了仿真。结果说明 :(1 )本研究所建的模型克服了原有 EPIC理论无法控制模型中参数值变化的缺陷 ,促进了 EPIC理论的发展 ;(2 )仿真结果和实验结果拟合良好 ,模型具有良好的预测能力。本研究为以仿真方法研究简单任务的心理过程提供了一次有益的尝试。     

Increasing accuracy and decreasing latency during clean intermittent self-catheterization procedures with young children.

We examined the effects of simulation training on performance of clean intermittent self-catheterization procedures with 2 young girls. Simulation training was conducted, after which independent performance was assessed within a multiple baseline design. The training resulted in increased accuracy and decreased latency for both girls.     

De l'argumentation comme métamorphose

Linguistic rhetoric and argumentative reasoning are generally identified. Certain types of problems, however, make use of non-verbal systems of representation, and, among them, image. Image is not just matter but also form, and computer processing in AI makes it possible to grasp this form by linguistic means (logico-mathematical languages). The synthesis of animated images has made it possible to represent metamorphoses, the thought of the unexpected. The fact that language produces image (and conversely) does not fail to transform the standard ways of thinking about epistemology.

     

Maximum likelihood estimation of multivariate polyserial and polychoric correlation coefficients

The method of finding the maximum likelihood estimates of the parameters in a multivariate normal model with some of the component variables observable only in polytomous form is developed. The main stratagem used is a reparameterization which converts the corresponding log likelihood function to an easily handled one. The maximum likelihood estimates are found by a Fletcher-Powell algorithm, and their standard error estimates are obtained from the information matrix. When the dimension of the random vector observable only in polytomous form is large, obtaining the maximum likelihood estimates is computationally rather labor expensive. Therefore, a more efficient method, the partition maximum likelihood method, is proposed. These estimation methods are demonstrated by real and simulated data, and are compared by means of a simulation study.     

Maximum likelihood estimation of polyserial correlations

This paper considers a multivariate normal model with one of the component variables observable only in polytomous form. The maximum likelihood approach is used for estimation of the parameters in the model. The Newton-Raphson algorithm is implemented to obtain the solution of the problem. Examples based on real and simulated data are reported.The research of the first author was supported in part by a research grant (DA01070) from the US Public Health Service. We are indebted to the referees and the editor for some very valuable comments and suggestions.