Knowledge and Discourse Matters

Crane, Lesley

doi:10.1002/9781119079316

2015

DOI: 10.1002/9781119079316

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Knowledge and Discourse Matters

Lesley Crane¹

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2022

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Cited by 2 publications

References 143 publications

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Theory of Knowledge Based on the Idea of the Discursive Space

Maciąg

2022

Philosophies

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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.

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Theory of Knowledge Based on the Idea of the Discursive Space

Maciąg

2022

Philosophies

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Zaawansowane procedury NLP jako przesłanka rekonstrukcji idei wiedzy

Maciąg

2022

Zarządzanie W Kulturze

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Advanced NLP Procedures as Premises for the Reconstruction of the Idea of Knowledge The article presents the current state of development of the Natural Language Processing (NLP) technology, in particular the GPT-3 language model, and presents its consequences for understanding the phenomenon of knowledge. The NLP technology has been experiencing remarkable development recently. The GPT-3 language model presents a level of advancement that allows it to generate texts as answers to general questions, as summaries of the presented text, etc., which reach the level surpassing the analogous level of human texts. These algorithmic operations lead to the determination of the probability distribution of its components. Texts generated by such a model should be considered as autonomous texts, using immanent, implicit knowledge embedded in language. This conclusion raises questions about the status of such knowledge. Help in the analysis is provided also by the theory of discourse, as well as the theory of discursive space based on it, that proposes the interpretation of knowledge as a trajectory of discourses in a dynamical space. Recognizing that knowledge may also be autonomous, and in particular not be at the exclusive disposal of humans, leads to the question of the status of artificial cognitive agents, such as the GPT-3 language model.

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Knowledge and Discourse Matters

Cited by 2 publications

References 143 publications

Theory of Knowledge Based on the Idea of the Discursive Space

Theory of Knowledge Based on the Idea of the Discursive Space

Zaawansowane procedury NLP jako przesłanka rekonstrukcji idei wiedzy

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