Work

From Data to Meaning: The Semantics of Machine Intelligence

Year: 2025

Type: article

Abstract: This paper contributes to the literature by redefining the philosophy of meaning in the age of artificial intelligence. It bridges linguistic philosophy and machine learning, showing how semantic understanding emerges from patterns rather than rules, and proposing a new framework for “meaning without consciousness.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17420587

Author: AKGUL, TARIK FURKAN

Language: English

Topic: Cybernetics and Technology in Society

Subfield: History and Philosophy of Science

Field: Arts and Humanities

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7093307384

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