人工智能与制造业融合:基本内涵、发展态势与内在逻辑——兼论成都人工智能与制造业融合的探索与实践

人工智能是新一轮科技革命和产业变革的重要驱动力量,人工智能与制造业融合将推动制造业加快转型升级。基于对人工智能与制造业融合的内涵、态势的分析,阐明了人工智能与制造业融合功能区的内在逻辑和分类方式,结合成都的基础条件,对人工智能与制造业融合功能区进行了分类,并借鉴国内先进经验,从加强人工智能技术和产品供给、分类推进制造业智能化、增强基础设施支撑、打造产业融合生态体系四个方面提出建议。     

论儒家的生态伦理自然观——“时中”生态智慧与同心圆生态模型

儒家重“时”尚“中”,其生态伦理自然观的精神内核是“时中”。儒家生态伦理自然观具有两重内涵,一是贵人而不惟人的非人类中心主义生态伦理情感立场,二是尽物而亦爱物的待物有别的生态伦理价值选择。在生态文明特别是生态伦理的意义上,两者都遵循着同心圆的生态模型。基于此,儒家的生态伦理自然观对当前的生态文明建设具有非常重要的资源意义和启发作用。     

亚里士多德“幸福”之可能

亚里士多德是西方哲学史上最伟大的哲学家之一,其思想影响极其深远。其中他的幸福观是其伦理学研究的核心。他把“幸福”作为人生追求的最终目的;认为幸福在于德性,实践性的现实活动;指出中道原则在实现幸福中的重要作用。尽管在一定程度上,亚里士多德的“幸福”太理想化、圣化。不过,其幸福观在今天仍有一定的借鉴意义。     

Averaging Lorenz curves

A large number of functional forms has been suggested in the literature for estimating Lorenz curves that describe the relationship between income and population shares. The traditional way of overcoming functional-form uncertainty when estimating a Lorenz curve is to choose the function that best fits the data in some sense. In this paper we describe an alternative approach for accommodating functional-form uncertainty, namely, how to use Bayesian model averaging to average the alternative functional forms. In this averaging process, the different Lorenz curves are weighted by their posterior probabilities of being correct. Unlike a strategy of picking the best-fitting function, Bayesian model averaging gives posterior standard deviations that reflect the functional-form uncertainty. Building on our earlier work (Chotikapanich and Griffiths, 2002), we construct likelihood functions using the Dirichlet distribution and estimate a number of Lorenz functions for Australian income units. Prior information is formulated in terms of the Gini coefficient and the income shares of the poorest 10% and poorest 90% of the population. Posterior density functions for these quantities are derived for each Lorenz function and are averaged over all the Lorenz functions.     

农村集体公益性建设用地的价值诉求与认知分析

农村集体公益性建设用地对农村公共设施的完善及农民生活水平的提高具有无可代替的作用,然现行规范对其规定甚少,集体公益性建设用地本身构造不明、价值不清造成适用模糊的困境。应明确农村集体公益性建设用地以维护集体成员利益为核心,以土地资源优化利用为重点,在具体设定上暗含公私力量的平衡。农村集体公益性建设用地使用权的主体实际上是以农民集体为核心的多元混合主体,因自身的公益属性,致使部分权能受限,应以合目的性与合规划性对其流转进行限制。     

描述译学的语言学模式

始于20世纪70年代的描述翻译学,因其具有理论和应用双重属性,有助于翻译理论研究和实践研究之间的沟通.而系统功能语言学,作为一种基于人类学、社会学、符号学的现代语言学理论,与描述翻译学具有相通的语言观、系统观和功能观.由此,系统功能语言学的系统理论、功能理论、语境理论,能够为描述翻译学提供一种更为细致、有效的研究途径.     

高校社团对基层团组织的功能替代

在新时期里,高校基层团组织的传统工作模式受到了前所未有的挑战,其功能也呈现出明显弱化的迹象;而学生社团则在高校中蓬勃发展,甚至对团组织起到了某种程度上的“功能替代”作用。一种功能互补的趋势正在悄然形成中。     

在线送达法律问题探析——基于在线诉讼的视角

在线送达作为一种采用了现代信息技术的更加快捷、经济、高效的送达方式,应在现有技术水平和法律框架下确认其应有的法律地位,以支持和保障在线诉讼的确立和发展。     

Posterior Analysis for Normalized Random Measures with Independent Increments

Abstract.  One of the main research areas in Bayesian Nonparametrics is the proposal and study of priors which generalize the Dirichlet process. In this paper, we provide a comprehensive Bayesian non-parametric analysis of random probabilities which are obtained by normalizing random measures with independent increments (NRMI). Special cases of these priors have already shown to be useful for statistical applications such as mixture models and species sampling problems. However, in order to fully exploit these priors, the derivation of the posterior distribution of NRMIs is crucial: here we achieve this goal and, indeed, provide explicit and tractable expressions suitable for practical implementation. The posterior distribution of an NRMI turns out to be a mixture with respect to the distribution of a specific latent variable. The analysis is completed by the derivation of the corresponding predictive distributions and by a thorough investigation of the marginal structure. These results allow to derive a generalized Blackwell–MacQueen sampling scheme, which is then adapted to cover also mixture models driven by general NRMIs.     

Analysis of robust design experiments with time-dependent ordinal response characteristics: a quality improvement study from the horticulture industry

An approach to the analysis of time-dependent ordinal quality score data from robust design experiments is developed and applied to an experiment from commercial horticultural research, using concepts of product robustness and longevity that are familiar to analysts in engineering research. A two-stage analysis is used to develop models describing the effects of a number of experimental treatments on the rate of post-sales product quality decline. The first stage uses a polynomial function on a transformed scale to approximate the quality decline for an individual experimental unit using derived coefficients and the second stage uses a joint mean and dispersion model to investigate the effects of the experimental treatments on these derived coefficients. The approach, developed specifically for an application in horticulture, is exemplified with data from a trial testing ornamental plants that are subjected to a range of treatments during production and home-life. The results of the analysis show how a number of control and noise factors affect the rate of post-production quality decline. Although the model is used to analyse quality data from a trial on ornamental plants, the approach developed is expected to be more generally applicable to a wide range of other complex production systems.