Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Wacana: Jurnal Ilmiah Ilmu Komunikasi
Pavel Slutskiy
Chulalongkorn University, Bangkok
Languange, Linguistic, Communication & Media Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Probability And Bayesian Inference In Human Communication Pavel Slutskiy
WACANA: Jurnal Ilmiah Ilmu Komunikasi Volume 23, No. 1 June 2024
Publisher : Universitas Prof. Dr. Moestopo (Beragama)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32509/wacana.v23i1.3388

Abstract

This paper challenges the applicability of traditional information theory's frequentist approach to human communication, arguing that it fails to capture the unique, singular nature of communicative acts. Traditional theory, based on long-term observation and relative frequencies, overlooks the complexity and context-dependency inherent in human interactions. The objective is to redefine communication understanding through a Bayesian model that emphasises subjective probability and the critical role of beliefs and intentions. Utilising a rationalist methodology, the research conducts a qualitative analysis of theoretical concepts and prior research, proposing a new model that situates probability within the philosophy of communication. This model highlights the subjective beliefs and intentions that govern communication, challenging existing paradigms and contributing to a deeper understanding of communicative dynamics. The results reveal the limitations of the frequentist approach and demonstrate the applicability of a Bayesian perspective, advocating for a paradigm shift in communication theory towards a sender-oriented model. This shift not only challenges existing paradigms but also offers a more nuanced understanding of communication as a fundamentally human endeavour. 
Co-Authors