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Self-organization of vocabularies under different interaction orders
- Publication Year :
- 2016
-
Abstract
- Traditionally, the formation of vocabularies has been studied by agent-based models (specially, the Naming Game) in which random pairs of agents negotiate word-meaning associations at each discrete time step. This paper proposes a first approximation to a novel question: To what extent the negotiation of word-meaning associations is influenced by the order in which the individuals interact? Automata Networks provide the adequate mathematical framework to explore this question. Computer simulations suggest that on two-dimensional lattices the typical features of the formation of word-meaning associations are recovered under random schemes that update small fractions of the population at the same time.<br />Comment: 5 pages, 6 figures. arXiv admin note: substantial text overlap with arXiv:1510.02358
- Subjects :
- Computer Science - Computation and Language
Physics - Physics and Society
Subjects
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.1603.05350
- Document Type :
- Working Paper