Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/155176
Title: An evolutionary model of the emergence of meanings
Authors: Oh, Poong
Kim, Soojong
Keywords: Social sciences::Communication
Issue Date: 2021
Source: Oh, P. & Kim, S. (2021). An evolutionary model of the emergence of meanings. Communication Methods and Measures, 15(4), 255-272. https://dx.doi.org/10.1080/19312458.2020.1768519
Project: M4082139
Journal: Communication Methods and Measures
Abstract: This study investigates the mechanism by which individuals learn to associate signals with meanings in a way that is agreeable to everyone, and thereby, to collectively produce common and stable signaling systems. Previous studies suggest that simple learning algorithms based on local interactions, such as reinforcement learning, sufficiently give rise to signaling systems in decentralized populations. However, those algorithms often fail to achieve optimal signaling systems. Under what condition do suboptimal signaling systems emerge? To address this question, we propose a multi-agent model of signaling games with three parameters–memory length, the complexity of communication problems, and population size–as potential constraints imposed on the collective learning process. The results from numerical experiments suggest that finite memory leads to suboptimal signaling systems, characterized by redundant signal-meaning associations. This paper concludes with discussions on the theoretical implications of the findings and the directions of future research.
URI: https://hdl.handle.net/10356/155176
ISSN: 1931-2458
DOI: 10.1080/19312458.2020.1768519
Rights: © 2020 Taylor & Francis Group, LLC. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:WKWSCI Journal Articles

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