Volume 131, Number 6, September 2020
|Number of page(s)||7|
|Section||Interdisciplinary Physics and Related Areas of Science and Technology|
|Published online||13 October 2020|
Modeling the decentralized optimization of communicative energy
1 Pontificia Universidad Católica de Valparaíso - Valparaíso, Chile
2 Centro de Investigación DAiTA Lab, Facultad de Estudios Interdisciplinarios, Universidad Mayor - Santiago, Chile
Received: 11 June 2020
Accepted: 31 August 2020
This paper integrates two different ways to face the emergence of communication systems. First, information-theoretic models argue for the emergence of Zipfian properties based on the minimization of communicative energy, combining speaker and hearer efforts. Second, decentralized agent-based models focus on the emergence of a shared communication system in a population of individuals. The main aim here is to explore how a decentralized agent-based model of language formation can exhibit purely from local speaker-hearer interactions the minimization of communicative energy. Numerical simulations show an evolution towards the minimum of communicative energy for populations communicating with Zipfian languages. Our results suggest thus a new way to understand energy-based approaches to the formation of human language.
PACS: 89.20.-a – Interdisciplinary applications of physics / 89.75.-k – Complex systems / 89.75.Fb – Structures and organization in complex systems
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