Search Results (210)

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 discourses. The procedure of constructing such a space is a serious problem, and so far, the only solution has been to identify the dimensions of this space through the qualitative analysis of texts on the basis of the discourses that were identified. This paper proposes a solution by using an extended variant of the embedding technique, which is the basis of neural language models (pre-trained language models and large language models) in the field of natural language processing (NLP). This technique makes it possible to create a semantic model of the language in the form of a multidimensional space. The solution proposed in this article is to repeat the embedding technique but at a higher level of abstraction, that is, the discursive level. First, the discourses would be isolated from the prepared corpus of texts, preserving their order. Then, from these discourses, identified by names, a sequence of names would be created, which would be a kind of supertext. A language model would be trained on this supertext. This model would be a multidimensional space. This space would be a discursive space constructed for one moment in time. The described steps repeated in time would allow one to construct the assumed dynamic space of discourses, i.e., discursive space. Full article

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 various ways by these models. This text represents a level of semantic perfection comparable to that of or even equal to a human. On the other hand, there is extensive and old research on the role and meaning of the text in human culture and society, with a very rich philosophical background gathered in the field of hermeneutics. The paper justifies the necessity of using the research background of hermeneutics to study artificial texts and also proposes the first conclusions about these texts in the context of this background. It is the formulation of foundations of the research area that can be called the hermeneutics of artificial text. Full article

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 then, with the help of the alternate transformation of the virtual dimension information and the real dimension information, the existence and evolution of subject information are explored. Full article

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 digital design, digital construction and digital operation is that digital technology has built an inclusive trust system and coordination mechanism in the whole life cycle of the project. In this process, the integration of the people, technology and system has broken the dimensional barrier of “man, machine and object” in the project, which not only exceeds the dependence on traditional individuals and systems, but also reduces the cost of system operation and improves the efficiency of project construction. Full article

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 times. When trying to define systems or systematism, due to the introduction of the concept of exchange and traditional holism, one must ask the question of how to sublimate them into modern systems theory? How does systems philosophy counteract-eat the traditional holism step by step and reshape holism under the framework of systematism? Full article

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 principles to the development of AI, we also encounter similar difficulties. Therefore, it may be helpful to change the approach by not only seeing AI as the object of ethical governance but also as an effective tool for it. This involves mainly three levels: first, using AI directly to solve general ethical problems; second, using AI to solve the ethical problems brought about by AI; and third, using AI to upgrade the RRI framework. By doing something at these three levels, we can promote the fusion of AI and technology ethics and move towards ethical engineering, thus pushing ethical governance to new heights. In traditional ethical governance approaches, ethics is external, brought in by external actors, and the focus is on actors. However, in this new approach, ethics must be internalized in technology, with the focus not only on actors, but also on technology itself. Its essence lies in the invention and creation of technologically ethical governance tools. Full article

The aim to improve diagnosis decision systems of kidneys led to the concept of many methods of texture characterization of kidneys from ultrasound images. Here, as a first main contribution, we propose a texture characterization method based on the singularity defined by the Hölder exponent, which is multifractal local information. Indeed, the originality of our contribution here is to build a singularity-level matrix corresponding to different levels of regularities, from which we extract new texture features. Finally, as a second main contribution, we will evaluate the potential of our proposed multifractal features to characterize textured ultrasound images of the kidney. Having more reproducibility of the texture features first requires a good choice of Choquet capacity to calculate the irregularities and a selection of a more representative region of interest (ROIs) to analyze by carrying out an adapted virtual puncture in the kidney components. The results of the supervised classification, using three classes of images (young, healthy, and glomerulonephritis), are interesting and promising since the classification accuracy reaches about 80%. This encourages conducting further research to yield better results by overcoming the limitations and taking into account the recommendations made in this article. Full article

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 informatization, uncertainty and essential attributes of music, integrates with the author’s own understanding of the above musical concepts, and clarifies the author’s research results on the uncertainty of music. Full article

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 platforms often requires the central logistics execution system to work. This paper proposes a compound robot control system architecture that integrates movement control and process action control. Its hardware can be an industrial computer with movement- and process-related sensor interfaces, and its software with multi-process management completes the internal collaboration and external data exchange. This architecture can greatly reduce the cost of compound robots and the scheduling load on the central logistics system server, simplify the development of logistics control programs, improve real-time collaboration between movement and process control, and provide strong support for the realization of massive logistics devices’ collaborative management and control. Full article

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, these technologies’ significance comes with societal challenges regarding accessibility, applicability, alignment, and inclusion. The development of open-source large language models may lead to more transparent and responsible use of such technologies. Here, we discuss the importance of open language models, their challenges, and how they were managed in a specific use case. Full article

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 constructed with this algorithm, and then tested and classified. On the basis of a serial scanning algorithm, this paper proposes a fine-tuning Sweeping Learning Algorithm, an ascending Side-By-Side Serial Scanning Algorithm, and a combination algorithm to solve the two problems in the running of the serial scanning algorithm. In order to solve the problem that the training speed of a traditional serial scanning algorithm is too slow due to the large amount of data, a new method which can select mixed domains in advance—the partial-side serial scanning algorithm. Full article

The Scientific Association of Academic Researchers (ASCA) and Software Engineering & Information Systems Engineering Team (GL-ISI) organized, in collaboration with Moulay Ismail University, the 3rd International Day on Computer Science and Applied Mathematics (ICSAM’23) on May 13, 2023, in the Faculty of Sciences and Technology of Errachidia. Full article

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 with the Husserl phenomenological movement as two important options to overcome the crisis of contemporary natural science. The purposes of this article are to analyze the ontological and epistemological roots of the scientific “crisis”; to criticize the one-sidedness of the mainstream of Western science and philosophy over the past 2300 years; to develop and perfect the foundation and core of information science: “theoretical informatics”; to apply the experience of “Information Psychology” to the “discipline informatization” in Law, Ethics, Linguistics, etc.; and to abstract information ontology, epistemology, and axiology based on theoretical informatics. Full article

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 Information Discipline” as the theme of the conference. The authors of this paper believe that the key to achieving the transformation of the “scientific paradigm” from a physical discipline to an information discipline lies in revealing and identifying one of the most fundamental propositions: recognizing the one-sidedness of “physicalism” and the universality of “informationism”, and accepting the world view, scientific view, values, and methodology of theoretical information science. Therefore, the main content of this paper discusses the one-sidedness of physicalism, the universality of informatics, and propose the promotion of the zeitgeist of the information age. Full article

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”. The main purpose of this article is to explain the basic ideas and methods of Husserl’s phenomenology based on the basic ideas and methodology of informatics. Our research results mainly include the following aspects: firstly, the misleading effect of physicalism on psychology and Husserl’s criticism of psychologism; secondly, information ontology and the “intentionality” of life information; thirdly, the “suspension” of phenomenology and the “reduction” of essence; fourthly, the world of science and the world of daily life; and finally, the limitations of Husserl’s phenomenology. Full article