The purpose of this paper is to revisit the concepts of a third in logic and philosophy that have existed since antiquity, widely separated in time and space, but expressing what we consider a higher level of understanding, without going outside the boundaries of science. We claim that the logic applicable to real complex processes combines a non-standard Western “Logic in Reality” and insights from classical Indian and contemporary Japanese logics for which the former provides the necessary grounding.
A general study of information is necessary to set firm foundations for the studies of secondary concepts of intelligence, consciousness, and their relation to computation. The lack of such foundations can be blamed for the global-scale promotion of pseudo-scientific myths about the future of humanity. Information study is not ready for this overarching role due to the lack of attention to its methodology. In particular, methods of structurally analyzing information independent of probability and the long overdue development of information semantics and ontology are missing or underdeveloped. This paper has a limited scope, but some directions for development are suggested in particular for the changes in the quest for information semantics.
With the development of digital technology, the way of art communication has become diversified. These diversified media rely on the Internet and digital technology, which has played a strong role in promoting the development of art communication. Based on the development of art digital media system, this paper analyzes the functions of digital preservation, digital display, digital communication and digital re creation, as well as its interactive, virtual, multi sensory and interdisciplinary characteristics, and discusses the ways and prospects of digital media applied to art communication.
Collaborative innovation plays an important role in promoting product innovation. However, the mechanism of collaborative innovation was hardly investigated by researchers from the systematic perspective of knowledge management. Thus, based on the method of word co-occurrence, a directed collaborative innovation knowledge network was established to analysis the scale-free property, the small-world feature, hierarchical organization and assortative network, from the perspective of network structure. Results showed that the structures of collaborative innovation knowledge network were scale-free and assortative, but not a small-world network or a hierarchical organization.
To deal with the problems including lack of credit investigation, data fraud and high credit risk in traditional agricultural supply chain finance system, an agricultural supply chain finance system based on blockchain and internet of things is proposed. Based on analyzing the problems existing in traditional agricultural supply chain finance, an agricultural supply chain finance system driven by blockchain and internet of things from the systematic perspective is proposed. In this context, decision-making framework concerning the agricultural supply chain finance based on “blockchain + internet of things” is built, and then the corresponding platform is established. The aim of such actions is to provide new ideas and methods for the application of supply chain finance in the agricultural field.At the same time, it is also conducive to the solution of the “three rural” problems in China.
From the point of view of system engineering, taking “information technology +talents” as the carrier, the system model of talent plan distribution system is constructed, and the realization path of talent management and intelligent analysis system is studied. Human beings are constantly changing and developing, and all kinds of changes are interrelated, forming a constantly evolving management system. The cultivation and development of talents are closely related to the development of social economy and the progress of science and technology. Through qualitative and quantitative integrated methods, the talent plan distribution system can make the basic model of high-potential and high-performance talents, predict the development trend of talents scientifically, and provides important basis for the macro policy of talent plan.
Although the post truth trend initially appeared in the political field, it gradually penetrated into many fields of daily life and troubled the public’s cognitive life. Its root involves the grasp of truth in philosophy, which is an alternative truth guided by emotion. We should not hold a negative attitude towards the emergence of the post truth trend of thought, but should realize that this is a reinterpretation of the truth problem. With the characteristics of relative objectivity, emotional antecedence and human alienation shown by the post truth trend of thought, the public inevitably wanders between the two poles of traditional rationality and anti rationality, and falls into an embarrassing situation where it is difficult to see the truth. It has its internal rationality to try to face this trend of thought by using Habermas’ s theory of communicative rational behavior, and because of its own theory, it is difficult to adjust itself.
Maker space in universities is booming with the vigorous development of “mass entrepreneurship and innovation”, and the sustainable development of maker space requires supports from new talents. Experiential innovative entrepreneurial talents are individuals with systematic thinking, independent learning, innovative practices and flexibility. Based on the maker space, this paper summarizes the constructive experience from experiential innovation and entrepreneurship talent training theory, instructional patterns, curriculum prototypes, and puts forward that in the future, we should comprehensively construct the system mode of experiential innovation and entrepreneurship talent training universities’ maker space in systematic, dynamic, multi-tiered and diverse approaches.
Language is a system, and foreign language teaching is also a systematic project. Based on the theory of system science, this paper builds a reading text corpus for the first level of the new Japanese proficiency test from 2010 to 2019, and analyzes the diachronic changes of the word frequency of notional words, in order to realize the overall optimization of foreign language classroom teaching and foreign language application through language research. The study found that: reading vocabulary is constantly updated and expanded; The occurrence frequency of various notional words in the discourse is moderately correlated, and the co-occurrence probability is high. Therefore, when learning the real vocabulary, we should systematically combine diachronic materials to supplement the vocabulary and example sentences, so as to transform the low-frequency vocabulary into high-frequency vocabulary and form the memory of growth; Establish a vocabulary text linkage system, improve the occurrence rate and repetition rate of vocabulary, and organically combine teaching with ability training.
Taking the construction of new engineering as the goal, this paper first analyzes the main problems existing in the current course of “Speech Signal Processing”,and then puts forward the reform plan of building the first-class online and offline courses based on the significance and situation requirements of the curriculum reform. This program involves curriculum content reform in the field of artificial intelligence, massive open online course construction, online and offline diversified teaching mode, and assessment and evaluation system with training ability as the core. The implementation of this scheme may lay a good professional foundation for cultivating excellent talents in artificial intelligence, voice communication and human-computer interaction.
Marx and Engels put the natural world in human reality and practically critical activities, critically examined the results of past philosophical views of nature, and understood the realistic natural world as a creation of human practice in a materialistic way. The viewpoint of practice is the core feature that differentiates the new Marxist materialistic view of nature from the previous view of nature. Due to the introduction of practice into the materialistic view of nature, the classic Marxist writers brought the harmonious unity of mankind and nature, society and nature, human history and natural history on the basis of practice. In the present, adhering to and applying the general viewpoint of Marxist view of nature also have important theoretical value and practical significance for us to refute all kinds of Western wrong ecological thoughts represented by radical Ecocentrism, establish people’s concept of reverence for nature, and speed up the construction of socialist ecological civilization with Chinese characteristics.
As socialism with Chinese characteristics enters a new era, the complexity and systematization of socialist practice urgently requires us to promote the innovation of Marxist philosophy, establish systematic development philosophy, build systematic ontology and law theory based on practice, and build people-centeredand development-orientedsystematic historical view and development view serving socialism with Chinese characteristics.
At present, the algorithm does not consider cleaning the data when recommending diversified general data for users, resulting in low precision, efficiency and poor stability. Therefore, a diversified general data cycle recommendation algorithm based on artificial intelligence is proposed. The artificial intelligence time series analysis method is used to classify the abnormal data in the diversity general data, analyze the influence of various abnormal values on the time series model, and clean the diversity general data. Using the balanced proximity grey correlation method, the paper calculates the similarity between datas, constructs the user’s enhanced bipartite graph direct trust mechanism, score the diversified general data by using the jmsd correlation coefficient, and select the data with higher score to recommend to the user, so as to realize the periodic recommendation of diversified general data. Experimental results show that the proposed algorithm has good stability and small average absolute error, and can effectively improve the accuracy and efficiency of diversified general data cycle recommendation.
The impact of the SARS outbreak has far exceed COVID-19.This article uses the perspectives and methods of public management theory and complexity science to analyze the prevention and control of infectious diseases for the hope of improving public health emergency management and disposal capabilities, which include inter-disciplinary such as science, technology and society from the view of scientific and technical philosophy. It is worth affirming that China has made a lot of achievements in response to public health emergencies in recent years, but there are still problems. For the shortcomings and deficiencies exposed by the Wuhan COVID-9,this article puts forward scientific thinking on public health emergencies.
According to the characteristics of transcendency and perspectiveness of major independent innovation equipment development, this paper puts forward a new model-based engineering methodology of military requirement demonstration based on practices of demonstration, which includes five logical steps: mission analysis, concept of operations（CONOPS） research, equipment concept research, integrated validation and evaluation, and integrated trade-off analysis. The key idea of this methodology is to emphasize the synchronous development and iterative advancement of CONOPS research and equipment concept research, and adopt a model-centric demonstration process, and realize the co-evolution and integrated innovation of CONOPS and equipment concept through the continuous evolution and iteration of models.
Using the big data technology to build a governance mechanism for ideological security in Chinese colleges and universities is a systematic project. It is a realistic need to stand firmly at the forefront of ideological work. It is an important part of promoting the modernization of the governance system and governance capability of colleges and universities. It is an important path to enhance the ideological security of colleges and universities to advance with the times. It is also an inevitable requirement to promote the innovation of ideological security governance methods in colleges and universities. This article systematically analyzes the real dilemmas and challenges facing colleges and universities’ ideological security governance in the era of big data, and proposes to build governance mechanisms in four aspects, including subject establishment, coordinated operation, network warning, and power guarantee mechanism. So as to solve the contradictions and problems of ideological security governance in Chinese colleges and universities, firmly master the management,discourse and leading power of ideological work.
Artificial intelligence is of a strong strategic value for the construction of deliberative democracy, which can improve the level of Chinese People’s Political Consultative Conference（CPPCC） deliberative democracy, enhance the efficiency of the party and government’s decision-making implementation, and promote social pluralistic governance. At the same time, the application of artificial intelligence also puts forward higher requirements for the main body ability, main body scope and institutionalization level of CPPCC deliberative democracy. In the new era, the application of artificial intelligence in the work of CPPCC deliberative democracy is one of the directions of innovation and development for CPPCC work. Artificial intelligence can be used as an important means for CPPCC to promote national democratic governance, a technical support for CPPCC to promote the interaction between society and the state, and an important driving force to enhance people’s awareness of political participation.
At present, human beings are facing a global crisis due to the outbreak of COVID-19 epidemic. Combined with the theory of system elasticity, this paper explores how the social-ecological system uses elastic thinking to deal with disasters. The core of elasticity involves system complexity and risk, and elasticity is the key to ensure the sustainability of social-ecosystem. Flexible thinking provides a different way to understand the world around us and manage natural resources. Managers should use the concept of flexible thinking to understand the social-ecological system in which we exist. Based on systematic normative ethics and flexible thinking, human beings can enhance the flexible ability of human society to deal with disasters, and choose global cooperation to fight the epidemic, so that the global disaster caused by COVID-19 epidemic can be truly controlled.
The system is the basic existence way of things, the ecological environment problem is a very complex system problem. As a representative of Contemporary Western Ecological Marxism, James O’Connor uses a systematic and dialectical scientific approach to clarify the dialectical unity between man and nature and between man and society, it realizes the organic relation between Marxism and Ecology. The Ecological Marxist theory of James O’Connor is a holistic and systematic exploration of “Nature-man-society”, which expands the new realm of Contemporary Marxist studies and is of great significance to the construction of ecological civilization in China.
The Emerging Engineering Education Construction is a strategic action to actively respond to the new round of scientific and technological revolution and industrial change. Its essence is the comprehensive innovation of industrial form, engineering technology and business model. From the perspective of complex adaptive system, we abandon the dual thinking of subject and object, pay attention to the interaction and mutual interpretation between subjects, and delineate the evolution mirror of systematic and open engineering education paradigm from the perspective of discourse text and meaning boundary through the interactive adaptation and learning of the non-linear subject of “university-industry”. In conformity with the complete and continuous accidental process in social interaction, synergistic behavior is generated, and the modern engineering education system is reconstructed by the way of union, which includes the systematic reform of elements in the spatial social network of multi-domains, multi-domains and multi-actors. The cross-integration methodology of engineering education reform is put forward to guide the solution of the problems arising from the regularity series of Emerging Engineering Education Construction.
