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Digital Library

of the European Council for Modelling and Simulation

 

Title:

The Association Between Group Size And Communicational Complexity According To Conceptual Agreement Theory

Authors:

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

Published in:

 

(2014).ECMS 2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani  European Council for Modeling and Simulation. doi:10.7148/2014

 

ISBN: 978-0-9564944-8-1

 

28th European Conference on Modelling and Simulation,

Brescia, Italy, May 27th – 30th, 2014

Citation format:

Enrique Canessa, Carlos Barra, Sergio E. Chaigneau, Ariel Quezada (2014). The Association Between Group Size And Communicational Complexity According To Conceptual Agreement Theory, ECMS 2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani  European Council for Modeling and Simulation. doi:10.7148/2014-0709

DOI:

http://dx.doi.org/10.7148/2014-0709

Abstract:

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.

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