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Wyszukujesz frazę "discourse space" wg kryterium: Temat


Wyświetlanie 1-5 z 5
Tytuł:
Theory of knowledge based on the idea of the discursive space
Autorzy:
Maciąg, Rafał
Opis:
This paper discusses the theory of knowledge based on the idea of dynamical space. The goal of this effort is to comprehend the knowledge that remains beyond the human domain, e.g., of the artificial cognitive systems. This theory occurs in two versions, weak and strong. The weak version is limited to knowledge in which retention and articulation are performed through the discourse. The strong version is general and is not limited in any way. In the weak version, knowledge is represented by the trajectories of discourses in time, in a dynamical space called the discursive space, which has an arbitrary number of dimensions. Given space is used to represent a given part of knowledge. A manifold is introduced to represent knowledge with a wider scope (all knowledge). The strong version is an extrapolation of the weak version to cover all forms of knowledge, not necessarily human or manifesting in language. The use of dynamical space construction allows one to formalize knowledge as such. Such an effort requires us to initially consider knowledge as mainly a social and linguistic phenomenon, which also could be presented as a result of the evolution of the understanding of knowledge that took place in the 20th century.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Ontological basis of knowledge in the theory of discursive space and its consequences
Autorzy:
Maciąg, Rafał
Opis:
The subject of the paper is a description of how discursive space exists as a space of knowledge. The paper assumes that discourses as retention and articulation of knowledge travel across a multidimensional space, the dimensions of which determine knowledge (i.e., its contents). In this way, discourse achieves the status of a (dynamic) unit of knowledge that is autonomous. Discursive space exists as the realization of the world of affairs (the world of facts by Wittgenstein). Because of the holistic nature of the world so defined, it contains everything, and thus also various discourses and various discursive spaces.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Inne
Tytuł:
Discursive space and its consequences for understanding knowledge and information
Autorzy:
Maciąg, Rafał
Opis:
The paper develops the idea of discursive space by describing the manner of existence of this space and the world of facts. The ontology of discursive space is based on the idea of discourse by Foucault. Discourse, being a language phenomenon, is a form of existence of knowledge. The discursive space is a representation of knowledge and can be interpreted as the system of acquiring this knowledge. This space is connected with the world of facts by a relationship of supervenience, which can be interpreted as a flow of knowledge. At the same time, the existence of the world of facts (world of affairs) assumes that it covers all phenomena and processes, and therefore, necessarily, also the discursive space. Hence, this space is not a separate system but a system that emerges from the world in order to allow the gathering of specific knowledge about it. Treating the discursive space as one of the possible cognitive systems, one can imagine other systems of knowledge that emerge from the world (the whole), as parts subordinated to particular goals (the use of knowledge), which can have a multilevel character. The flow of knowledge on the border of such a system and the whole of it can be interpreted as information. This paper tries to justify this possibility, which could lead to a general model of the flow of the knowledge.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Pretrained language models as containers of the discursive knowledge
Autorzy:
Maciąg, Rafał
Opis:
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.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Inne
    Wyświetlanie 1-5 z 5

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