The association between group size and communicational complexity according to conceptual agreement theory

Enrique Canessa, Carlos Barra, Sergio E. Chaigneau, Ariel Quezada

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

We model the evolution of concepts, i.e. how members of a social group associate properties to concepts. Our Agent Based Model (ABM) is based on Conceptual Agreement Theory (CAT), which states that individuals can only infer the conceptual state of others when communicating. Through communication agents develop a conceptual structure which is influenced by three variables: the size of the group, the number of possible properties that may describe each concept and the rate at which agents learn. In general, the results show that these three variables non-linearly interact and that the larger the group and number of available properties, and the slower the learning process, the richer the conceptual structure that emerges from agents' interactions. Proceedings 28th European Conference on Modelling and Simulation

Idioma originalInglés
Título de la publicación alojadaProceedings - 28th European Conference on Modelling and Simulation, ECMS 2014
EditorialEuropean Council for Modelling and Simulation
Páginas709-717
Número de páginas9
ISBN (versión impresa)9780956494481
DOI
EstadoPublicada - 2014
Evento28th European Conference on Modelling and Simulation, ECMS 2014 - Brescia, Italia
Duración: 27 may. 201430 may. 2014

Serie de la publicación

NombreProceedings - 28th European Conference on Modelling and Simulation, ECMS 2014

Conferencia

Conferencia28th European Conference on Modelling and Simulation, ECMS 2014
País/TerritorioItalia
CiudadBrescia
Período27/05/1430/05/14

Huella

Profundice en los temas de investigación de 'The association between group size and communicational complexity according to conceptual agreement theory'. En conjunto forman una huella única.

Citar esto