Adolescents' perspectives on relationships with grandparents: The contribution of adolescent, grandparent, and parent–grandparent relationship variables

There is limited research on adolescent–grandparent relationships, especially from the adolescent perspective and on large-scale samples. The study examined the associations between the adolescent–grandparent relationship (i.e., importance of, emotional closeness to, and respect for grandparents' views) and the characteristics of the adolescent, grandparent, and parent–grandparent relationship, as well as the interactions between several of these factors. It was based on a representative sample of 1478 students aged 11–16 from England and Wales who completed a structured questionnaire. Results supported the position that grandparents are a significant factor in the lives of adolescents. Findings of hierarchical regression analyses showed that more frequent contact, greater grandparent involvement, and better parent–grandparent relationships predicted adolescents' reports on higher levels of emotional closeness to, importance of, and respect for their closest grandparent's views. The interactions consistently emphasized the role of parents as gatekeepers of intergenerational exchange.     

Automating argument construction

Over the past five years the Artificial Intelligence Center at SRI has been developing a new technology to address the problem of automated information management within real- world contexts. The result of this work is a body of techniques for automated reasoning from evidence that we call evidential reasoning. The techniques are based upon the mathematics of belief functions developed by Dempster and Shafer and have been successfully applied to a variety of problems including computer vision, multisensor integration, and intelligence analysis.

We have developed both a formal basis and a framework for implementating automated reasoning systems based upon these techniques. Both the formal and practical approach can be divided into four parts: (1) specifying a set of distinct propositional spaces, (2) specifying the interrelationships among these spaces, (3) representing bodies of evidence as belief distributions, and (4) establishing paths of the bodies for evidence to move through these spaces by means of evidential operations, eventually converging on spaces where the target questions can be answered. These steps specify a means for arguing from multiple bodies of evidence toward a particular (probabilistic) conclusion. Argument construction is the process by which such evidential analyses are constructed and is the analogue of constructing proof trees in a logical context.

This technology features the ability to reason from uncertain, incomplete, and occasionally inaccurate information based upon seven evidential operations: fusion, discounting, translation, projection, summarization, interpretation, and gisting. These operation are theoretically sound but have intuitive appeal as well.

In implementing this formal approach, we have found that evidential arguments can be represented as graphs. To support the construction, modification, and interrogation of evidential arguments, we have developed Gister. Gister provides an interactive, menu-driven, graphical interface that allows these graphical structures to be easily manipulated.

Our goal is to provide effective automated aids to domain experts for argument construction. Gister represents our first attempt at such an aid.     

Armchair detectives and the social construction of falsehoods: an actor–network approach

ABSTRACT

This paper examines two large-scale cases ? the 2013 Boston bombing and the 2015 Bangkok bombing, each of which spurred an online investigation conducted by concerned citizens to find the bombers. While both bombing cases had different cultural discourses, the processes and outcomes of the online investigation were similar: there were rampant speculation and rumor-mongering, as well as false accusations and harassment of innocent suspects. The aim of the paper is to understand how such acts of mob justice happened. Using actor–network theory, a theoretical and methodological tool for mapping out the networks human and non-human interactions, I discuss two types of networks found in both investigations. The two network types demonstrate how a claim can be construed as fact or fiction through such networks of interaction. In light of debates on the proliferation of fake news and alternative facts, the findings have implications for the current and precarious state of truth in today’s society.     

青少年学业压力、父母支持与精神健康

追求学业上的成就,并由此实现社会流动、赢得尊敬和家庭的荣耀是中国文化的传统。但对教育成就的重视也导致儿童承受很大的压力,引发心理和身体的疾病。对上海685名学生学业压力与精神健康的调查证实,学业压力是加剧学生焦虑的风险因素,而父母的情感支持是促进儿童精神健康的保护性因素。因此促进父母对儿童的学习参与是重要的,但要注意时机,动态了解儿童的学习压力状况并提供及时的情感支持,这样有助于儿童的精神健康。     

中国美学中的悟性说

妙悟是中国美学的认识方式之一,在有的论者那里被当作最根本、最重要的认识方式。妙悟活动是以人本来具有的生命智慧来观照,生命的本源性是推动妙悟活动的内在动力因素。这一本源的觉性即中国美学中常说的“悟性”。“悟性”是体,觉悟是用,审美妙悟是由悟性发出的认识活动。     

谈反竞争情报的情报控制

从信息和情报,竞争情报和反竞争情报的概念出发,分析了竞争情报和情报学的关系,并从情报学角度探讨了反竞争情报的情报研究和保护。     

人工智能生成物的著作权保护路径探析——兼评人工智能生成物著作权第一案

人工智能技术的发展对传统著作权制度带来了显著的冲击。以人工智能生成物著作权第一案为例,通过审视作品构成要件判断标准发现,独创性始终贯彻以人类作者为中心的评价标准,同时,智力成果要件则是认定人工智能生成物构成著作权法意义上作品与否的重要标准。从人类是否实际参与作品的创作过程来看,多数人工智能生成物不构成作品,而保护人工智能生成物的价值追求与邻接权制度的基本理念相适应,且邻接权制度的扩张趋势也为把人工智能生成物纳入其保护范畴创造了机会。建议立法通过扩张邻接权制度的权利内容与客体类型以对人工智能生成物提供必要保护。而在当前阶段,反不正当竞争法可以为人工智能生成物相关利益主体提供一定限度的过渡保护。     

智能创新生产力理论与中国经济发展深层思考

提出智能创新生产力概念及其理论模型,发现智能演进创新和非守恒规律及其作用原理,研究智能创新的核心生产力,即智能创新克服人的生理认知能力有限性与客观物质(能量)变化无限性之间的悖论,创造利用物质世界的无穷手段和能力,创造时间和空间,解决资源稀缺与社会需求矛盾;在此基础上发现智能创新自认知、自选择和自组织原理,破解著名的智能认知体系结构与优化代理体系结构(这是本文重要发现之一),研究智能创新的系统生产力,即智能经济相对于传统经济可以达到和实现理想的生产过程,使生产活动在开放的资源空间和动态系统中进行,虚拟智能的物理化使经济活动没有时空约束和资源稀缺约束,创新经济和社会的生产方式与组织形态.本文所提出的智能创新生产力理论模型,即智能创新的核心生产与系统生产力概念也为中国经济改革发展提出重要思考.