Computer Sciences & Mathematics Forum, Volume 8, Issue 1

Current encryption technologies mostly rely on complex algorithms or difficult mathematical problems to improve security. Therefore, it is difficult for these encryption technologies to possess both high security and high efficiency, which are two pr...

This paper explains that setting up artificial intelligence courses can clearly enhance students’ interest in high technology, boost learning confidence and promote students’ overall development in the following three aspects: the signifi...

In this paper, the author starts with a critique of Wiener’s advocated concept of information and provides new definitions for a series of fundamental concepts in the fundamentals of information science. Furthermore, a fresh interpretation of s...

This paper summarizes the problems existing in cross-border higher education through the analysis of the development status and characteristics of virtual reality technology and cross-border higher education, and puts forward the important significan...

With the development of modern network technology, human beings have constructed a development model of digital society. Human social practice has been given a unique digital color. Digital society determines the existence and development of a digita...

Discourses can be treated as instances of knowledge. The dynamic space in which the trajectories of these discourses are described can be regarded as a model of knowledge. Such a space is called a discursive space. Its scope is defined by a set of di...

Spectacular achievements of the so-called large language models (LLM), a technical solution that has emerged within natural language processing (NLP), are a common experience these days. In particular, this applies to the artificial text generated in...

Based on the modern dilemma of the existence of the subject, information philosophy is transformed into ontological “subject information”, and the basic elements of the virtual dimension and the real dimension are abstracted from it. And...

Digital technology has broken the traditional “individual–system” trust dichotomy and has brought in a new “increment” of trust state to society. Taking an engineering project as an example, the key to a successful digit...

Starting from the ancient philosophical proposition of “the whole is greater than the sum of its parts”, this article attempts to answer the different responses of different holistic theories to “1 + 1 > 2” in different tim...

As a governance framework for emerging technologies, the responsible research and innovation (RRI) approach faces some fundamental conflicts, particularly between “inclusivity” and “agility”. When we try to apply RRI principle...

Against the background of the rapid development of today’s human society, this article integrates the concept of musical uncertainty through informatization, uses the exploration of dialectics in philosophy to further summarize the informatizat...

Movement–process collaborative compound robots are an important part of intelligent factory logistics systems, and they usually have two control systems located in the movement platform and the process platform. Interaction between the two plat...

Large language and multimodal models are revolutionising many aspects of human work and creativity, with broad potential not only as chatbots and for information retrieval but as interaction points and integrators of large technical systems. However,...

Factor implicit thought in factor space theory can be used to solve the classification problem of machine learning. On the basis of factor implicitness, a serial sweeping class classification algorithm is proposed, and a factor implicit model is cons...

Husserl told readers that there are two ways to understand his theory, namely “starting from the world of life” or “starting from psychology”. We believe that theoretical informatics and information philosophy can be combined...

The Call for Papers of IS4SI points out that paradigms from the disciplines of information and physics, respectively, reflect very different scientific viewpoints and methodologies. The sponsor and organizer selected “Paradigm Changes in Inform...

As a philosophical distillation of the study of human consciousness, Husserl’s phenomenology reveals the truth and principles of direct experience and is essentially an information discipline, known as “information phenomenology”. T...

The Call for Papers for the 2023 Beijing Summit says that “Paradigm Change in the Information Discipline”, has been selected as the theme of the ISSI’ 2023 Summit by the sponsor and organizer. The purpose of this paper is to compare...

This paper discusses the “what”, “why”, and “how” of the issue of “discipline informatization”. Since the Renaissance, the humanities and social sciences established under the guidance of physical-mathe...

The authors of this article believe that from the perspective of the development of human spiritual products, the transformation of our scientific worldview and methodology from the paradigm of physics to the paradigm of informatics is an inevitable...

The authors of this article advocate the view that the transformation from a physics paradigm to an informatics paradigm is not a denial of the effectiveness and scope of application of the physics paradigm, but a criticism of the “arrogance&rd...

The authors propose that the theoretical framework of Western philosophy is supported by metaphysical ontology through the differentiation and analysis of two different kinds of “particulars-universals” in Plato’s “world visib...

The emergence of big data increases the complexity of society, and it also provides new objects and perspectives for social epistemology research. This paper aims to comprehensively illustrate the social changes caused by big data and deeply understa...

Scholars have recently used various methods to study the human body’s characteristics, propose improvements, and rely on medical data. This research introduces a new real−time data collection and analysis system comprising two components:...

AIGC is a hot topic at present, and its display of human-like creativity has led to a rethinking of “labor” In order to unravel the mysteries brought about by new technology, this article takes the research perspective of Marxist politica...

The rapid development of digital technology not only outlines the prospects of digital consumption but also intensifies the phenomenon of digital consumer alienation, which involves information processing, information presentation, and the subject&rs...

What philosophy truly needs is to re-present the problems of the relationship between the natural world and consciousness, matter and spirit at a higher and deeper theoretical level. Only in this way can we make substantial breakthroughs in our explo...

With the rapid development of artificial intelligence painting technology, artificial intelligence in painting has left us confused about the relationship between art and people, and even some people have revisited the old saying of “the end of...

Under the factor space theory, this paper proposes a new background base extraction algorithm to address the background base extraction algorithm being sensitive to outliers, the excessive number of iterations of the background base extraction algori...

The digital living state brings great convenience to human production, communication, consumption and leisure, and also brings people a lot of new worries. Many scholars discussed human’s sensibility, spiritual and aesthetic issues from the ten...

The evolution of Marx’s ideation was accompanied by a continuous, in-depth understanding of human essence. From the promotion of human self-consciousness to the status of divinity to the transformation of humans into a human essence, his though...

The algorithm proposed in this paper can not only solve the binary classification problem, but can also solve the multi-classification problem. The combination of categories is defined on the basis of the sweeping serial classification algorithm, and...

Decision rule extraction is an important tool for artificial intelligence and data mining, but decision rule redundancy reduces the generalization ability of causal trees. In order to better reduce the size of causal trees and improve the classificat...

Muscle synergies have emerged as a novel framework that offers a deeper understanding of the physiological basis of motor control and have been extensively applied in various fields. This study aims to investigate muscle synergies, involving the sele...

Currently, artificial intelligence (AI) is gradually approaching or surpassing human level in terms of perceptual ability, computational ability, logical ability, and even language ability. However, the cognitive concepts proposed by Buddhism, such a...

The theory of information ontology proposed by the Chinese philosophy of information not only changes the connotation and limit of “existence”, but also lays a foundation for the discussion of the originally illusory “non-existence&...

For many years, symbolic paradigms have dominated AI, but the impressive accomplishments of neural approaches have made them a new dominant paradigm. However, each of these paradigms has distinct advantages. This talk presents a hybrid paradigm that...

Image vision has wide application prospects in the field of intelligent manufacturing, and studying an effective background base extraction algorithm has become an urgent need for factor space applications in the fields of big data and image vision....

Up till now, the research on game theory has concentrated on the game issues between agents, which are homogeneous and at the same level in the complex hierarchical system. There have already been many fruitful results that have been successfully use...

In deep integration of universal logic and factor space theory, there has always been a theoretical problem that has not been adequately solved. Many results of the factor space theory are directly described in terms of the probability of statistical...

The conception of ‘world information strategy for the future’ that is proposed in this paper assumes the ascendancy of the non-Western world in the context of an information infrastructure that has so far been Western oriented. The strate...

Informational granules are crucial objects in Interactive Granular Computing (IGrC). They are making it possible to link abstract objects and physical (not mathematical) objects in processes related to perceiving situations in the real world. The dis...

Both human and AI behavior requires material as its carrier, and the behavior-directing information of both is influenced by internal and external factors. Their behavioral processes are mediated by information. The essence of their behavioral proces...

We examine the growing trend in contemporary societies of appealing to sentiments and emotions in so many areas of social life, particularly under the command of AI tools and algorithms. Two aspects are considered: on the one side, their is insuffici...

In this paper, a few mathematical bases are given firstly. Then, the step thinness τp of primes is given as τp = Lo1 = P1ΠP/(P−1) for the inner character, having an lnX logarithmic outer character. The “best estimation and mutu...

Reflection Theory holds that our sensations reflect physical properties, whereas Empiricism believes that sense (data), presentations, and phenomena are the ultimate existence. Lenin adhered to Reflection Theory and criticized Helmholtz’s senso...

Claims that large language models lack intelligence are abundant in current AI discourse. To the extent that the claims are supported by arguments, these usually amount to claims that the models (a) lack common sense, (b) know only facts they have be...

This article addresses the background and nature of the recent success of Large Language Models (LLMs), tracing the history of their fundamental concepts from Leibniz and his calculus ratiocinator to Turing’s computational models of learning, a...

This paper briefly discusses the basic method that is the concept discovery & association and the Causal-Reasoning of Artificial cognition based on the framework of Universal factor space theory.