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”.

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.

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.

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.

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.

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.

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.

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.

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。

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。

Multiple Intelligence and its Implication in Adult Education

Theory of multiple intelligence was developed by Dr.Howard Gardner.In the theory of multiple intelligence,Gardner proposed eight different intelligences to account for a broader range of human potential in children and adults.It has great influence on education theory and teaching practice. The paper introduces the frames of multiple intelligence and discusses its implication in adult education.

Edge Semantic Cognitive Intelligence for 6G Networks:Novel Theoretical Models,Enabling Framework,and Typical Applications

Edge intelligence is anticipated to underlay the pathway to connected intelligence for 6G networks,but the organic confluence of edge computing and artificial intelligence still needs to be carefully treated.To this end,this article discusses the concepts of edge intelligence from the semantic cognitive perspective.Two instructive theoretical models for edge semantic cognitive intelligence(ESCI)are first established.Afterwards,the ESCI framework orchestrating deep learning with semantic communication is discussed.Two representative applications are present to shed light on the prospect of ESCI in 6G networks.Some open problems are finally listed to elicit the future research directions of ESCI.

An Overview and Perspectives On Bidirectional Intelligence: Lmser Duality, Double IA Harmony,and Causal Computation

Advances on bidirectional intelligence are overviewed along three threads,with extensions and new perspectives.The first thread is about bidirectional learning architecture,exploring five dualities that enable Lmser six cognitive functions and provide new perspectives on which a lot of extensions and particularlly flexible Lmser are proposed.Interestingly,either or two of these dualities actually takes an important role in recent models such as U-net,ResNet,and Dense Net.The second thread is about bidirectional learning principles unified by best yIng-yAng(IA)harmony in BYY system.After getting insights on deep bidirectional learning from a bird-viewing on existing typical learning principles from one or both of the inward and outward directions,maximum likelihood,variational principle,and several other learning principles are summarised as exemplars of the BYY learning,with new perspectives on advanced topics.The third thread further proceeds to deep bidirectional intelligence,driven by long term dynamics(LTD)for parameter learning and short term dynamics(STD)for image thinking and rational thinking in harmony.Image thinking deals with information flow of continuously valued arrays and especially image sequence,as if thinking was displayed in the real world,exemplified by the flow from inward encoding/cognition to outward reconstruction/transformation performed in Lmser learning and BYY learning.In contrast,rational thinking handles symbolic strings or discretely valued vectors,performing uncertainty reasoning and problem solving.In particular,a general thesis is proposed for bidirectional intelligence,featured by BYY intelligence potential theory(BYY-IPT)and nine essential dualities in architecture,fundamentals,and implementation,respectively.Then,problems of combinatorial solving and uncertainty reasoning are investigated from this BYY IPT perspective.First,variants and extensions are suggested for AlphaGoZero like searching tasks,such as traveling salesman problem(TSP)and attributed graph matching(AGM)that are turned into Go like problems with help of a feature enrichment technique.Second,reasoning activities are summarized under guidance of BYY IPT from the aspects of constraint satisfaction,uncertainty propagation,and path or tree searching.Particularly,causal potential theory is proposed for discovering causal direction,with two roads developed for its implementation.

Computational Intelligence Determines Effective Rationality

Rationality is a fundamental concept in economics. Most researchers will accept that human beings are not fully rational. Herbert Simon suggested that we are ＂bounded rational＂. However, it is very difficult to quantify ＂bounded rationality＂, and therefore it is difficult to pinpoint its impact to all those economic theories that depend on the assumption of full rationality. Ariel Rubinstein proposed to model bounded rationality by explicitly specifying the decision makers＇ decision-making procedures. This paper takes a computational point of view to Rubinstein＇s approach. From a computational point of view, decision procedures can be encoded in algorithms and heuristics. We argue that, everything else being equal, the effective rationality of an agent is determined by its computational power - we refer to this as the computational intelligence determines effective rationality （CIDER） theory. This is not an attempt to propose a unifying definition of bounded rationality. It is merely a proposal of a computational point of view of bounded rationality. This way of interpreting bounded rationality enables us to （computationally） reason about economic systems when the full rationality assumption is relaxed.

Research of recognizing intelligence based on commanding decision-making

In commanding decision-making, the commander usually needs to know a lot of situations（intelligence） on the adversary. Because of the military intelligence with opposability, it is inevitable that intelligence personnel take some deceptive information released by the rival as intelligence data in the process of intelligence gathering. Since the failure of intelligence is likely to lead to a serious aftereffect, the recognition of intelligence is a very important problem. An elementary research on recognizing military intelligence and puts forward a systematic processing method are made. First, the types and characteristics of military intelligence are briefly discussed, a research thought of recognizing military intelligence by means of recognizing military hypotheses are presented. Next, the reasoning mode and framework for recognizing military hypotheses are presented from the angle of psychology of intelligence analysis and non-monotonic reasoning. Then, a model for recognizing military hypothesis is built on the basis of fuzzy judgement information given by intelligence analysts. A calculative example shows that the model has the characteristics of simple calculation and good maneuverability. Last, the methods that selecting the most likely hypothesis from the survival hypotheses via final recognition are discussed.

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.

Bibliometrics-based analysis on competitive intelligence in China

By applying to the theories and methodologies on informetrics,the authors collected the statistical data of relevant published articles,and then made some analysis including the prolific authors community,the long tail distribution of authors,and the disciplinary distribution of the published articles.To conclude,some development trends and suggestions were put forward for the reference.

Cognitive Advancements across the Globe:Intelligence Research and Piagetian Psychology in Comparison

1.Two approaches to studying intel­ligence and cognition It is widely accepted that there are two main ap­proaches to studying“intelligence”and“cognition”,psychometric intelligence research and Piagetian developmental psychology.While the psychometric approach measures intelligence without having a true theory of intelligence,ascribing different scores to test persons according to their respective mastering of tests,thus measuring abilities regarding abstrac­tive and logical capabilities,the Piagetian approach comprises a complete theory of human development,a comprehensive theory of stage developments from infancy over adolescence to adulthood,including a detailed description of the development of psyche,consciousness,personality.

A general Boolean semantic modelling approach for complex and intelligent industrial systems in the framework of DES

Discrete event system(DES)models promote system engineering,including system design,verification,and assessment.The advancement in manufacturing technology has endowed us to fabricate complex industrial systems.Consequently,the adoption of advanced modeling methodologies adept at handling complexity and scalability is imperative.Moreover,industrial systems are no longer quiescent,thus the intelligent operations of the systems should be dynamically specified in the model.In this paper,the composition of the subsystem behaviors is studied to generate the complexity and scalability of the global system model,and a Boolean semantic specifying algorithm is proposed for generating dynamic intelligent operations in the model.In traditional modeling approaches,the change or addition of specifications always necessitates the complete resubmission of the system model,a resource-consuming and error-prone process.Compared with traditional approaches,our approach has three remarkable advantages:(i)an established Boolean semantic can be fitful for all kinds of systems;(ii)there is no need to resubmit the system model whenever there is a change or addition of the operations;(iii)multiple specifying tasks can be easily achieved by continuously adding a new semantic.Thus,this general modeling approach has wide potential for future complex and intelligent industrial systems.