Hierarchy of Scales in Language Dynamics
arXiv:1505.00122 · doi:10.1140/epjb/e2015-60347-3
Abstract
Methods and insights from statistical physics are finding an increasing variety of applications where one seeks to understand the emergent properties of a complex interacting system. One such area concerns the dynamics of language at a variety of levels of description, from the behaviour of individual agents learning simple artificial languages from each other, up to changes in the structure of languages shared by large groups of speakers over historical timescales. In this Colloquium, we survey a hierarchy of scales at which language and linguistic behaviour can be described, along with the main progress in understanding that has been made at each of them---much of which has come from the statistical physics community. We argue that future developments may arise by linking the different levels of the hierarchy together in a more coherent fashion, in particular where this allows more effective use of rich empirical data sets.
Colloquium (short review paper) solicited by European Physical Journal B. 18 pages, 3 figures. accepted v2 contains more text, figures, references and coherence
References in corpus (16)
- Statistical physics of social dynamics
- Continuous Opinion Dynamics under Bounded Confidence: A Survey
- Diffusive transport without detailed balance in motile bacteria: Does microbiology need statistical physics?
- Sharp transition towards shared vocabularies in multi-agent systems
- Voter Models on Heterogeneous Networks
- The Spontaneous Emergence of Conventions: An Experimental Study of Cultural Evolution
- Stochastic Models of Evolution in Genetics, Ecology and Linguistics
- Non-equilibrium dynamics of language games on complex networks
- Ordering dynamics with two non-excluding options: Bilingualism in language competition
- On the universal structure of human lexical semantics
- In-depth analysis of the Naming Game dynamics: the homogeneous mixing case
- Fixation and consensus times on a network: a unified approach
- Statistical Patterns in Written Language
- Word learning under infinite uncertainty
- General three-state model with biased population replacement: Analytical solution and application to language dynamics
- Minimal model of associative learning for cross-situational lexicon acquisition