THEOLOGY AND PHYSICS FORTY YEARS LATER

Abstract. Almost forty years later I look back on a 1966 article on theology and physics by Sanford Brown and my response published with it. I reflect on his hope that theological seminaries would give attention to the methods used in scientific inquiry. I compare our comments with subsequent thought on three issues: (1) the role of models in science and religion; (2) the relation of wholes to parts in physics and other sciences and the debate over reductionism and emergence; and (3) the implications of quantum physics for theology, including the possibility of divine action at the quantum level.     

时间顺序关系对语言理解的影响

通过2个实验探讨在语言理解中时间顺序相关性(顺时序、反时序、不相关)和时间间隔(200ms、500ms、1000ms)在日常事件认识中的作用。实验采用关系——认知范式(relarion-recognition paradigm)。结果表明：被试在有明显时间信息影响下,优先对将来取向(顺时序)的事件进行加工处理。对时间上不相关的事件比对顺时序和反时序的事件加工得快而准。但在无明显时间信息影响时,首先受到本身词义的影响,继而受到隐含的时间信息的影响。     

管理评价判断模型与策略获取

管理评价是在不确定情景中的一种多特征决策,非补偿策略是决策者所采用的主导判断模型。作为一种结构建模程序,策略捕捉可以建构包含决策标准及其权重的统计模型,获取决策内在过程和预测判断。多层线性模型能够方便地考察人内和人间变异,表征判断非线性结构,是分析策略捕捉数据的恰当方法。管理评价设计可以借鉴行为经济学和实验经济学的思路,实现对现实管理决策过程的抽象模拟。     

中国背景下雇员主动离职模型的探索和验证研究

雇员主动离职研究持续多年,但是这些研究缺乏对过程变量的关注和整个离职模型的整合。本文在以往研究的基础上,针对以上不足,初步提出了中国背景下雇员主动离职模型,并通过实证研究对模型加以验证。模型为企业管理实践提供了一定的应用价值。     

On the existence and uniqueness of JML estimates for the partial credit model

A necessary and sufficient condition is given in this paper for the existence and uniqueness of the maximum likelihood (the so-called joint maximum likelihood) estimate of the parameters of the Partial Credit Model. This condition is stated in terms of a structural property of the pattern of the data matrix that can be easily verified on the basis of a simple iterative procedure. The result is proved by using an argument of Haberman (1977). The author wishes to thank the Editor and the anonymous reviewers for their comments that helped to substantially improve the final version of this paper. This research was supported in part by a MURST grant (ex 60%).     

Reacting aggressively to injustice at work: a cognitive stage model

The present article develops a cognitive stage model of workplace aggression, which contends that aggressive reactions to perceived injustice are cognitively construed following three cognitive steps that include the assessment stage, the accountability stage, and the decision stage. These three cognitive stages are essential in understanding victims’ retaliatory actions against perpetrators of injustices. The model’s implications for research and practice are discussed.     

跨期决策是基于选项还是基于维度?

跨期决策有许多不同的理论模型,按其所指信息加工过程,可以分成基于选项的和基于维度的两类决策模型。前者认为各跨期选项被独立赋予一个主观价值,主观价值最大的选项被选择;而后者则认为选项是基于维度被比较的,比较中占优势的选项被选择。本文从行为结果、过程数据和对基于选项模型基本假设的质疑等角度综述了近来支持基于维度模型的证据;并提出未来需要进一步应用认知行为实验和眼动追踪技术对两类模型进行过程研究、在基于维度模型的指导下进行f MRI研究,以及加强损失领域的跨期决策研究以完善跨期决策模型。     

自闭症碎镜理论之迷思:缘起、问题与前景

自闭症患者在社会沟通和交往障碍上主要涉及社会情感互动缺陷、非语言行为交流缺陷、发展维持和理解人际关系的缺陷。该群体在社会认知过程中潜在自动的直觉成分受损被视为其独特的临床症状。鉴于镜像神经元系统在社会认知的直觉成分上扮演的重要角色,该系统的功能障碍假说(或称"碎镜"理论)被提出并用以解释自闭症的成因及其异常表现。然而,在经历了10年的发展与证据检验后,该理论潜在的问题逐渐暴露。当前的研究显示,迄今为止人类镜像神经元系统的研究存在内在缺陷,镜像神经元系统至多是社会认知的附带原因,该系统功能障碍也并非自闭症患者社会认知障碍的必要条件。碎镜理论面临来自临床行为研究与认知神经科学实验证据的广泛质疑。未来,伴随自闭症研究对象的变化,镜像神经元的社会响应学说的提出,双个体范式、第二人称神经科学范式与计算精神病学的兴起,镜像神经元与自闭症的真正关系将有望得以阐明。     

How experimental algorithmics can benefit from Mayo’s extensions to Neyman–Pearson theory of testing

Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Experimentation is necessary. The analysis of algorithms should follow the same principles and standards of other empirical sciences. This article focuses on stochastic search algorithms, such as evolutionary algorithms or particle swarm optimization. Stochastic search algorithms tackle hard real-world optimization problems, e.g., problems from chemical engineering, airfoil optimization, or bio-informatics, where classical methods from mathematical optimization fail. Nowadays statistical tools that are able to cope with problems like small sample sizes, non-normal distributions, noisy results, etc. are developed for the analysis of algorithms. Although there are adequate tools to discuss the statistical significance of experimental data, statistical significance is not scientifically meaningful per se. It is necessary to bridge the gap between the statistical significance of an experimental result and its scientific meaning. We will propose some ideas on how to accomplish this task based on Mayo’s learning model (NPT*).