LANGUAGE, CATEGORIZATION, AND CONVENTION-Reference-Cited by-同舟云学术

LANGUAGE, CATEGORIZATION, AND CONVENTION

Published:2012-05 Issue:03n04 Volume:15 Page:1150022
ISSN:0219-5259
Container-title:Advances in Complex Systems
language:en
Short-container-title:Advs. Complex Syst.

Author:

NARENS LOUIS¹,JAMESON KIMBERLY A.²,KOMAROVA NATALIA L.³,TAUBER SEAN⁴

Affiliation:

1. Department of Cognitive Sciences, University of California, Irvine, Irvine, CA 92697-5100, USA

2. Institute for Mathematical Behavioral Sciences, University of California, Irvine, Irvine, CA 92697-5100, USA

3. Department of Mathematics, University of California, Irvine, Irvine, CA 92697, USA

4. Cognitive Sciences, University of California, Irvine, Irvine, CA 92697-5100, USA

Abstract

Linguistic meaning is a convention. This article investigates how such conventions can arise for color categories in populations of simulated "agents". The method uses concepts from evolutionary game theory: A language game where agents assign names to color patches and is played repeatedly by members of a population. The evolutionary dynamics employed make minimal assumptions about agents' perceptions and learning processes. Through various simulations it is shown that under different kinds of reasonable conditions involving outcomes of individual games, the evolutionary dynamics push populations to stationary equilibria, which can be interpreted as achieving shared population meaning systems. Optimal population agreement for meaning is characterized through a mathematical formula, and the simulations presented reveal that for a wide variety of situations, optimality is achieved.

Publisher

World Scientific Pub Co Pte Lt

Subject

Control and Systems Engineering

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0219525911500226

Reference32 articles.

1. An Experimental Study of Memory Color and Related Phenomena

2. The Structural Evolution of Morality

3. Modeling the emergence of universality in color naming patterns

4. Dynamic Partitioning and the Conventionality of Kinds

5. Explaining Universal Color Categories Through a Constrained Acquisition Process

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