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”.

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.

Design Path of Ecological Learning Environment Based on Spatial Resilience

Nowadays,the city’s focus on education makes the improvement of learning environment become a new demand for development.From the the perspective of ecology,the theory of"resilience"is introduced to break the stereotype of the existing learning environment and create a space for dialogue with nature from inside to outside.At the same time,the learning environment is divided into observation learning space,exploration learning space and communication learning space by theory and method of multiple intelligence integrating teaching and learning.Through the analysis on resilience characteristics of three types of space,eight basic unit forms of learning environment design are obtained.Arrangement and combination of its form can improve the campus environment,increase children’s learning efficiency and the risk response ability of campus environment,and give children the opportunity to interact with and understand nature in the learning process,so as to provide reference for the diversified development of education and learning space.

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.

The Application of Multiple Intelligences Theory in High School Education and Its Relationship with Students’Individualized Development

The integration of Howard Gardner’s Theory of Multiple Intelligences(MI)into high school education presents a transformative approach to student learning and development.This paper explores the application of MI theory in shaping individualized learning pathways,enhancing student self-awareness,and fostering social and emotional development.Challenges such as professional development needs,curriculum adaptation,and resource allocation are discussed alongside future trends including technological integration,interdisciplinary learning,and inclusive education models.Empirical data,although hypothetical,illustrate the potential benefits of MI-tailored education on student performance and engagement.The paper concludes with a call for collaborative efforts among educators,policymakers,and researchers to realize the potential of MI theory in creating personalized and effective educational experiences for all students.

An investigation on theory of information-knowledge-intelligence transforms

It is recognized throughout history that under-standing the properties of resources and transforming these resources into products are regarded as the nucleus of sci-ence and technology.Understanding the properties of in-formation and transforming the information into products will then play a crucial role in the development of science and technology in the information age.An attempt is thus made in this paper to present the results on the concepts of information and the fundamental features of information transforms.Here information theory will be given a much broader scope than the well-known Shannon theory and the knowledge theory will go beyond the existing knowledge engineering.It is discovered in the paper that the transfor-mations from information to knowledge and further to intel-ligence constitute the core mechanism of intelligence for-mation and is hence named the mechanism approach to in-telligence research.It is also discovered that the major ap-proaches to artificial intelligence in history,the structural-ism,functionalism and behaviorism,can harmoniously be unified within the framework of the mechanism approach and no longer be contradictory.

2018 special issue on artificial intelligence 2.0：theories and applications

In July 2017,the Chinese government issued a guideline on developing artificial intelligence（AI）,namely,the‘New-Generation Artificial Intelligence Development Plan’,through 2030 to the public,setting a goal of becoming a global innovation center in this field by 2030.According to the development plan,breakthroughs should be made in basic theories of AI in terms of big data intelligence.

Appraisal of the Production-Oriented Approach： An Introduction

The production-oriented approach （POA） has been developed over a decade. It is driven by the need to improve English classroom instruction for university students in China （Wen, 2016）. It is also motivated by the aspiration to enhance the quality of foreign language education in other similar pedagogical contexts outside China. A volume of research has been done by Wen Qiufang and her research team, to formulate the theory of POA and to test its effectiveness in classroom pedagogy （e.g. Wen, 2016, 2015; Yang, 2015; Zhang, 2015）. At the moment, the POA is still at an early stage of theory building and almost all empirical research is done in the Chinese context. In order to improve the quality of this theory and to make it intelligible to the international academic community, a one-day symposium was held in Beijing Foreign Studies University on May 15, 2017. The symposium was entitled ＇The first international forum on innovative foreign language education in China： Appraisal of the POA＇. In the forum, leading experts in applied linguistics were invited to discuss the strengths and weaknesses of the POA and the directions for its future development. The symposium was the first attempt for the POA research team to discuss its latest work with international scholars. This Viewpoint section collects the responses of four experts who participated in the symposium, listed in alphabetical order. The collection of articles covers three topics related to the POA： its pedagogical application, its use for teacher training, and its research. Alister Cumming is Professor Emeritus and the former Head of the Centre for Educational Research on Languages and Literacies, University of Toronto, Canada. His article focuses primarily on POA research as an exemplary case of design-based research. Rod Ellis is Research Professor in the School of Education at Curtin University, Australia. He discusses POA in terms of pedagogy, teacher training and research, with both critiques and constructive suggestions. Paul Kei Matsuda is Professor of English and Director of Second Language Writing at Arizona State University, the writed states. He responds to POA from the perspective of an expert researcher and teacher of L2 writing. Charlene Polio is Professor and Associate Chair in the Department of Linguistics ＆ Germanic, Slavic, Asian ＆ African Languages atMichigan State University, the writed states. She conceptualises POA as a useful method to address some issues in pre-service teacher development. Overall, the articles in this section are insightful and reader-friendly. They are not only useful for the development of POA in particular, but may also be valuable to a broad range of researchers as they touch upon pertaining issues, as well as emerging topics, in the field of applied linguistics. We therefore find it necessary to make them accessible to a wide readership.