Intelligent Transformation: General Intelligence Theory

This paper aims to formalize a general definition of intelligence beyond human intelligence. We accomplish this by re-imagining the concept of equality as a fundamental abstraction for relation. We discover that the concept of equality = limits the sensitivity of our mathematics to abstract relationships. We propose a new relation principle that does not rely on the concept of equality but is consistent with existing mathematical abstractions. In essence, this paper proposes a conceptual framework for general interaction and argues that this framework is also an abstraction that satisfies the definition of Intelligence. Hence, we define intelligence as a formalization of generality, represented by the abstraction ∆∞Ο, where each symbol represents the concepts infinitesimal, infinite, and finite respectively. In essence, this paper proposes a General Language Model (GLM), where the abstraction ∆∞Ο represents the foundational relationship of the model. This relation is colloquially termed “The theory of everything”.

Multiple Intelligence Theory in Integrated English Teaching

Integrated English is a core course for English major students in our college,and this article mainly discusses the application of Multiple Intelligence theory in Integrated English classroom.

Analysis on the Construction of English Classroom in Colleges based on Interactive Teaching and Multiple Intelligence Theory

This paper conducts research on the construction of English classroom in colleges based on interactive teaching and multiple intelligence theory. At present, our country’s English teaching present situation is too crosses on the attention written English the study, but that in the practical application true important heard ability the practice or was actually the time which recited for has taken by the massive practices, enabled the student very good to exercise own hears ability. Teaching interaction refers to the course of teaching, teachers’ teaching and students’ learning interaction, interaction, mutual restraint, mutual promotion, to achieve the teaching objectives of teaching and the learning. Under this basis, this paper proposes the multiple intelligence theory based method for the further optimization of the English education pattern that is meaningful.

Multiple Intelligence Theory in the English Classroom

In his book of 1983,Dr.Howard Gardner proposes the Multiple Intelligence theory which has been thought as having important implication for education.It contends loudly that every part of the identified intelligences is an important and equally valid aspect of human existence and learning of a language.Today,more and more educators use this theory in their classroom.The use of seven distinct capacities of this theory in English classroom will be discussed in this article.

Research on the Mechanical Automation Technology based on Evolutionary Algorithms and Artifi cial Intelligence Theory

In this paper, we conduct research on the mechanical automation technology based on the evolutionary algorithms and artifi cialintelligence theory. Intelligent control theory after 30 years of development has made gratifying achievements. But intelligent control has notyet formed a complete and systematic theory, based on the analysis, design, and there are many important problems in the practical application.Intelligent information processing is the use of some of the experience and knowledge of information, and the combination of that upper andlower knowledge information processing method. It is expected to solve the problem of insufficient information of pathology, computationcomplexity and the problem of real-time requirements, using the mathematical model is diffi cult to describe the nonlinear problem, etc. Underthis basis, this paper proposes the new mechanical automation technology based on the evolutionary algorithms and artifi cial intelligence theoryto propose the new perspective of dealing with the related challenges.

Game Theory Optimization via Diverse Genetic Crossover Intelligence

Game theory is explored via a maze application where combinatorial optimization occurs with the objective of traversing through a defined maze with an aim to enhance decision support and locate the optimal travel sequence while minimizing computation time. This combinatorial optimization approach is initially demonstrated by utilizing a traditional genetic algorithm (GA), followed by the incorporation of artificial intelligence utilizing embedded rules based on domain-specific knowledge. The aim of this initiative is to compare the results of the traditional and rule-based optimization approaches with results acquired through an intelligent crossover methodology. The intelligent crossover approach encompasses a two-dimensional GA encoding where a second chromosome string is introduced within the GA, offering a sophisticated means for chromosome crossover amongst selected parents. Additionally, parent selection intelligence is incorporated where the best-traversed paths or population members are retained and utilized as potential parents to mate with parents selected within a traditional GA methodology. A further enhancement regarding the utilization of saved optimal population members as potential parents is mathematically explored within this literature.

Systems Theory-Driven Framework for AI Integration into the Holistic Material Basis Research of Traditional Chinese Medicine

This paper introduces a systems theory-driven framework to integration artificial intelligence(AI)into traditional Chinese medicine(TCM)research,enhancing the understanding of TCM’s holistic material basis while adhering to evidence-based principles.Utilizing the System Function Decoding Model(SFDM),the research progresses through define,quantify,infer,and validate phases to systematically explore TCM’s material basis.It employs a dual analytical approach that combines top-down,systems theory-guided perspectives with bottom-up,elements-structure-function methodologies,provides comprehensive insights into TCM’s holistic material basis.Moreover,the research examines AI’s role in quantitative assessment and predictive analysis of TCM’s material components,proposing two specific AIdriven technical applications.This interdisciplinary effort underscores AI’s potential to enhance our understanding of TCM’s holistic material basis and establishes a foundation for future research at the intersection of traditional wisdom and modern technology.

The Mathematical and Physical Theory of Rational Human Intelligence: Complete Empirical-Digital Properties;Full Electrochemical-Mechanical Model (Part I: Mathematical Foundations)

The design of this paper is to present the first installment of a complete and final theory of rational human intelligence. The theory is mathematical in the strictest possible sense. The mathematics involved is strictly digital—not quantitative in the manner that what is usually thought of as mathematics is quantitative. It is anticipated at this time that the exclusively digital nature of rational human intelligence exhibits four flavors of digitality, apparently no more, and that each flavor will require a lengthy study in its own right. (For more information,please refer to the PDF.)

Research on the College English Teaching Innovation Methods based on the Theory of Multiple Intelligence and Language Cognitive

In this paper, we conduct research on the college English teaching innovation methods based on the theory of multiple intelligence and language cognitive. Gardner Suggestions to teaching points out: “the relevant content can be shown by a variety of ways, such as teachers, books, software, hardware, or other media. In many cases, the choice of the above shows patterns, lead to the success of education experience. History can have language, logic, space, or the general pattern of personal understanding to teaching, and even can also use the space geometry teaching classroom, logic, the language and digital methods such as ability to implement teaching.” This paper combines primary theories of the corresponding issues to propose the novel understanding of the modern college English education mode that will be benefi cial for the education mode optimization.

The Application of Multiple Intelligences Theory in College English Reading Course

This paper,based on Gardner's Multiple Intelligences Theory,aims to investigate whether the application of MI Theory in col lege English reading class can improve students'English reading proficiency.MI-categorized activities are adopted in the class.The paper explores college Enlgish reading teaching strategy based on MI Theory to improve English teaching proficiency.The paper sheds some light on how MI theory could be applied in EFL.

Digital Generative Multimedia Tool Theory (DGMTT): A Theoretical Postulation

The development of digital technology has brought about a substantial evolution in the multimedia field.The use of generative technologies to produce digital multimedia material is one of the newer developments in this field.The“Digital Generative Multimedia Tool Theory”(DGMTT)is therefore presented in this theoretical postulation by Timothy Ekeledirichukwu Onyejelem and Eric Msughter Aondover.It discusses and describes the principles behind the development and deployment of generative tools in multimedia creation.The DGMTT offers an all-encompassing structure for comprehending and evaluating the fundamentals and consequences of generative tools in the production of multimedia content.It provides information about the creation and use of these instruments,thereby promoting developments in the digital media industry.These tools create dynamic and interactive multimedia content by utilizing machine learning,artificial intelligence,and algorithms.This theory emphasizes how crucial it is to comprehend the fundamental ideas and principles of generative tools in order to use them efficiently when creating digital media content.A wide range of industries,including journalism,advertising,entertainment,education,and the arts,can benefit from the practical use of DGMTT.It gives artists the ability to use generative technologies to create unique and customized multimedia content for its viewers.

人工智能风险体系与模块化评价指标构建实证研究

[研究目的]在人工智能蓬勃发展的时代,开展人工智能风险体系构建及其对应的模块化评价指标研究,以全面反映AI发展所带来的潜在风险,为不同领域的研究者提供决策依据。[研究方法]首先,基于扎根理论和专家调查法,系统地抽取和设计模块化人工智能风险评价指标;其次,采用层次分析法,对各指标权重进行测算,形成量化后的得分表,并对风险等级进行划分;最后,借助问卷调查法和专家调查法,对该体系进行应用实证研究,以验证其科学性及可行性。[研究结果/结论]人工智能风险体系包含由9个一级指标和41个二级指标组成的模块化评价指标。该体系涵盖技术、伦理、法律和社会等多个维度。基于此体系可以针对某一人工智能事件或功能,使用主观评价的方法对每一个风险子项进行打分,并最终得出总分。模块化指标可以灵活拆分,以量化测度不同领域的AI风险,兼顾全维度与具象维度的AI风险测度问题。

智能制造综合实训课程“三三五”体系的教学设计与实施

本文根据智能制造产业需求,针对目前职业教育智能制造课程教学中存在的实验条件不足、教学内容与岗位脱节、学生主体发挥不足、教学资源运用不够等问题,提出了具体的解决方案。以“智能制造综合实训”课程为例,进行课程教学方案设计,构建以德知技“三位一体”教学理念、理虚实“三元融合”教学模式和“五阶递进”教学项目相结合的“三三五”实训体系。以机床主轴箱智能加工为例具体实施“三段六步”教学过程,详细阐述了运用新场景、对接新规范、引入新技术、“理实一体,虚实结合”开展实训课教学,并有机融入思政教育的成功范例,有效达成智能制造技术技能人才的培养目标。

生成式人工智能的依法治理——基于法规文本的扎根理论运用

运用扎根理论方法对当前有关法规文本资料进行三级编码可发现,现时生成式人工智能主要面临信息安全、技术使用、隐私保护若干问题,国家网信、电信、公安等政府部门以及所有涉及的主体包括技术支持者、网络平台、服务提供者和服务使用者都应当依法承担相应的义务和责任。生成式人工智能治理的政策机制包括整体方案制定、资源分配、合作协同、监管评估和反馈处置等,治理的策略建议包括设立专门的相关监管机构,构建完善的有关法律体系,引入敏捷性治理和融贯性法治新模式以更好地适应生成式人工智能的技术发展。

智能时代的教育变革:思维型教学理论引领“技术赋能教学”

文章探讨智能时代教育变革的背景和意义,详细阐述思维型教学理论的核心理念和特点,以及其在技术赋能教学中的应用。通过对相关研究的分析和案例研究,文章揭示思维型教学理论对学生思维能力培养和全面发展的重要作用。同时,文章也指出技术在教育中的优势和挑战,并提出应对策略。最后,文章强调思维型教学理论与技术的融合是未来教育发展的趋势,呼吁教育者积极探索和创新,以适应智能时代的教育需求。

Intelligence视角下的美国情报学研究进展——以Studies in Intelligence解密文献为例

美国情报理论研究一直处在世界领先地位,拥有丰富的理论成果。选取美国情报学界顶级刊物《studies in intelligence》杂志为文献源,运用Publish or Perish 2.8软件对其解密文献进行统计,揭示美国情报学研究的内容、关注热点及未来趋势,以期为我国intelligence视角下的情报学研究提供参考。

数智环境下价值网络对社区养老服务精准化的影响机理研究——基于扎根理论的探索

[目的/意义]精准化是社区养老服务发展的主要目标,是衡量社区养老服务水平的重要标准。当前社区养老服务发展存在供需失衡,服务精准化水平不高。大数据、人工智能等数智环境飞速发展为社区养老服务精准化水平提升带来了历史机遇,而探索社区养老服务精准化水平的影响机理是更加有效提升服务精准化水平的前提。[方法/过程]基于价值网络模型,采用扎根理论研究方法,对社区养老服务相关参与主体代表的半结构化访谈语料进行编码分析,参照“背景-条件-行动-结果”的扎根理论经典范式,分析数智环境下价值网络对社区养老服务精准化的影响机理。[结果/结论]构建影响机理“火箭模型”,从宏观、中观、微观3个层面,分析价值网络对社区养老服务精准化水平的影响因素和作用机理,其中“数智技术赋能”是关键影响因素。研究回答了数智环境下价值网络对社区养老服务精准化的“影响机理是什么”的问题,为后续探索提升服务精准化水平的策略指明方向。

INTELLIGENCE汉译的误区与贻害——功能对等理论视角的情报学解析与应对

[目的/意义]在一些情报学著述的汉译本中,英语术语intelligence除了被译作"智能"之外,大多被译作"情报",而不是根据语境和目标读者译作不同的汉语术语,从而导致汉语词义的不精准或歧义。其根本原因是英语intelligence与汉语"情报"语义内涵与外延的差异所致。这种汉译误区造成现实的贻害不小,必须认真对待并纠正。[方法/过程]功能对等理论给我们提供了一个有效的视角和路径。解析译文可能引起"情报"范畴扩大的误解,并建议根据上下文,在专业著述中将其分别译为"智能""情报""情报工作"或"情报活动""情报组织"或"情报机构",抑或在译语中保留源语术语,即术语零翻译。在非专业文本中,在不影响语义内涵的前提下优先确保中文易懂性。[结果/结论]规范情报学术语使用,优化语言环境,消除西学东渐负面影响,不仅是解决歧义产生的方法,也是推进情报学健康发展的有效路径。

移动新闻客户端智能推荐服务用户不满意影响机理研究

[目的/意义]智能推荐服务虽极大提高了用户获取新闻的效率,但并非总是令人满意。文章从不满意视角切入,探究移动新闻客户端智能推荐服务用户不满意的影响因素和作用机理,旨在丰富智能推荐服务用户不满意相关研究,为移动新闻平台管理实践提供参考。[方法/过程]搜集移动应用商店中今日头条的评论数据,采用扎根理论方法进行三级编码,构建移动新闻客户端智能推荐服务用户不满意影响机理理论模型。[结果/结论]研究发现,信息质量、平台质量、算法质量通过服务质量的中介作用影响用户不满意;信息窄化在用户画像的调节作用下正向影响隐私担心,隐私担心在平台口碑的调节作用下正向影响用户不满意;信息质量和隐私担心都导致用户的算法操纵,进而增加用户对算法不可控的感知。

人工智能服务对消费者道德行为的双刃剑效应

随着人工智能产业的快速扩张,多样化的人工智能(AI)服务应运而生。然而,关于AI服务对消费者道德行为影响的研究尚显不足。本研究将道德心理学的理论引入AI服务营销领域,旨在探讨AI服务对消费者道德行为的双刃剑影响及其心理机制和作用边界。研究从三方面展开:第一,依据道德双元性理论,系统区分了AI服务对消费者倡导性道德行为和禁止性道德行为的差异化影响。第二,基于道德判断双加工理论,从认知和情绪两个维度,揭示了AI服务影响道德行为的双刃剑效应及内在机制。第三,从AI本身、消费者和道德行为三个方面研究了AI服务影响双元道德行为的边界条件。本研究成果将有助于提升消费者的福祉,并为企业和公共部门制定针对性行为干预策略提供理论依据,进而推动社会文明进步与数字经济的健康发展。