Computer crime motives: Do we have it right?

Academic, legal and practitioner responses to cyber threats have been predominantly reactive, punitive, and deterrence-based, with limited attention given to the motives underlying computer criminals' behaviors. This paper reasons that new and better theoretical perspectives are needed to explain computer criminals' motives. Following a review of the computer crime behavioral literature, a summary review of core philosophies and theories used to explain generalized crime and criminal motives is provided. A framework is proposed suggesting that criminological theories have evolved along two categorical dimensions: determinism-indeterminism, and individualism-collectivism. The paper then reasons that future computer crime research will benefit by considering indeterminist-collectivist (constructivist) theories. Two such theories, social construction of technology, and actor-network theory, are proposed in the discussion section, along with some cybercrime examples. The paper invites a deeper consideration of the origins and motivations of computer-based criminality as a means of building stronger theory and ultimately advancing more proactive and effective solutions.     

The Law of Large Demand for Information

An unresolved problem in Bayesian decision theory is how to value and price information. This paper resolves both problems assuming inexpensive information. Building on Large Deviation Theory, we produce a generically complete asymptotic order on samples of i.i.d. signals in finite–state, finite–action models. Computing the marginal value of an additional signal, we find it is eventually exponentially falling in quantity, and higher for lower quality signals. We provide a precise formula for the information demand, valid at low prices: asymptotically a constant times the log price, and falling in the signal quality for a given price.     

基于行为金融实验的非线性证券价格动态模型

为了研究交易者资产结构与股价波动之间的关系,设计并实施了10场内容相同的行为金融实验。根据实验现象以及交易者持仓状态反映其对市场的投资态度,构建了描述市场平均投资态度和股票价格的数学模型。首先利用离散动力系统的相关理论研究了模型的稳定性,然后根据金融市场稳定与否对传染效应进行界定。数值模拟发现,在理性传染效应区间内,存在最优传染效应。在此基础上,进一步探讨了资产结构与股价波动之间的关系。具体而言,在理性传染效应的作用下,当市场中满仓交易者数量与空仓交易者数量相当时,股价呈现小幅水平趋势波动;当满仓交易者数量远高于(低于)空仓交易者数量,股价呈现大幅下跌(上涨)趋势波动。     

基于GLM的贝叶斯变量与模型选择

针对非正态响应的部分因子试验,当筛选试验所涉及的因子数目较大时,提出了基于广义线性模型(generalized linear models,GLM)的贝叶斯变量与模型选择方法.首先,针对模型参数的不确定性,选择了经验贝叶斯先验.其次,在广义线性模型的线性预测器中对每个变量设置了二元变量指示器,并建立起变量指示器与模型指示器之间的转换关系.然后,利用变量指示器与模型指示器的后验概率来识别显著性因子与选择最佳模型.最后,以实际的工业案例说明此方法能够有效地识别非正态响应部分因子试验的显著性因子.     

U型理论视域下改进高校思想政治理论课的思考

新形势下,高校思想政治理论课教学中贯彻以人为本、立德树人,首先必须找准盲点,即由以往对学习的结果和过程的关注转移到对教学主体和学习主体的内在状况的关注。把这种盲点放在奥托·夏莫U型理论框架里进行综合分析,考察教学主体和学习主体改变未来能力生长的"土壤",剖析改良思想政治理论课"土壤"的因素及路径,以飨于思想政治理论课的改进,增强其针对性和实效性。     

导向型自主学习在计算机基础课程教学中的研究

计算机基础课程教学在本科教学中具有十分重要的意义。但随着计算机技术的迅速发展和大学新生计算机水平"非零起点"的新趋势,迫切需要加大改革力度,寻求一种高校计算机基础课程教学新体系和新方法。本文旨在计算机基础教学中溶入一种先进的教育理念,改变教学方法和教学环境,形成提高学生自主学习能力的土壤和条件,从而构建计算机基础课程为导向型自主学习课程。     

计算机应用于学校体育管理的分析研究

计算机应用于学校体育管理工作中,是提高工作效率与管理质量的有效方法和手段。标志着学校体育管理工作向着科学化、规范化、自动化方向发展。在大量实践的基础上,采用统计、调查等方法,对计算机辅助学校体育管理工作进行分析和总结,为学校体育管理者科学的、实效的管理,提供一定参考。     

非计算机专业计算机基础教学模式的探讨

本文就高校非计算机专业计算机基础教学存在的问题进行了探讨和分析,提出了分级分类的教学模式,根据学生的特点有针对性地开展教学,真正实现因材施教。     

数字艺术发展的文化思辨

数字艺术正在成长为21世纪文化创意产业的新艺术形式,数字艺术应用已经成为文化创意产业中最具活力和创造力的新兴产业。应该重视对数字艺术理论的研究和人才的培养,正视数字图像技术不断发展的客观环境。在进行人文思考时,把它作为艺术展现的一种有效手段,以数字艺术的形式表现出来,以适应社会越来越广泛的运用和审美需求。应该改革高校对艺术人才培养的传统模式,跨学科培养数字艺术人才,以尽快适应数字技术和主流受众群体的发展与变化的大趋势。     

Approximation of IMSE-optimal Designs via Quadrature Rules and Spectral Decomposition

We address the problem of computing integrated mean-squared error (IMSE) optimal designs for interpolation of random fields with known mean and covariance. We assume that the mean squared error is integrated through a discrete measure and restrict the design space to its support. We show that the IMSE and its approximation by spectral truncation can be easily evaluated, which makes their global minimization affordable. Numerical experiments are carried out that illustrate the effectiveness of the approach.