Envío gratis a partir de 69,99 euros.

«Comprobar estado del pedido»

Entre a formar parte de una comunidad de amantes de los libros del mundo entero y acceda a un sinfín de ventajas. Crear una cuenta gratis

Envío gratuito con Zásilkovna para compras superiores a 59.99 €

Mensajería SEUR 4.99 € Mensajería GLS 7.99 € Mensajería Correos 5.49 € Mensajería DHL 5.49 € Punto SEUR 3.99 €

Contacto

Cómo comprar

Ayuda

Mi cuenta

▸ Vacío :-(

Envío gratis a partir de 69,99 euros.

Human Spoken Interaction as a Complex Adaptive System

Name: Human Spoken Interaction as a Complex Adaptive System
Brand: Edinburgh University Press
SKU: 45220040
Price: 146.79 EUR
Availability: InStock
Author: Paul Seedhouse
ISBN: 9781399522687

Paul Seedhouse

Idioma

Inglés

Libro Tapa dura

Código Libristo: 45220040

Editores Edinburgh University Press, junio 2024

Human Spoken Interaction as a Complex Adaptive System explains how human spoken communication functi... Descripción completa

Código Libristo: 45220040

359 b

146.79 €

Almacenamiento externo Envío en 14-21 días

Hasta 30 días para devoluciones

Clientes que también han comprado

Técnico/a Medio-Gestión Función Administrativa del SAS Opción Administración General.Test del Temari Editores

Tapa blanda

41.39 €

Alpensommer Peter Rosegger

Tapa blanda

42.29 €

Human Spoken Interaction as a Complex Adaptive System explains how human spoken communication functions, combining two separate complex adaptive systems: the universal interaction engine and language(s), which now number around 7,000. Siegel and Seedhouse offer a comprehensive overview of how the components and processes of the interaction engine work together to enable us to understand each other, whatever the language. Through combining Complexity Science and Conversation Analysis, this book explains how to simultaneously analyse spoken interaction on micro and macro scales. Detailed analyses of L2 learners reveal them to be simultaneously expert in using the interaction engine and inexpert in using the specific language. The study shows that the basic characteristics of the interaction engine are the same as for other life-related complex systems and that it is possible to access the perspectives of participants inside this complex adaptive system as it is evolving.