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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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. Proceedings 28th European Conference on Modelling and Simulation

Original languageEnglish
Title of host publicationProceedings - 28th European Conference on Modelling and Simulation, ECMS 2014
PublisherEuropean Council for Modelling and Simulation
Pages709-717
Number of pages9
ISBN (Print)9780956494481
DOIs
StatePublished - 2014
Event28th European Conference on Modelling and Simulation, ECMS 2014 - Brescia, Italy
Duration: 27 May 201430 May 2014

Publication series

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

Conference

Conference28th European Conference on Modelling and Simulation, ECMS 2014
Country/TerritoryItaly
CityBrescia
Period27/05/1430/05/14

Keywords

  • Agent-based modeling
  • Conceptual Agreement Theory
  • Evolution of concepts
  • Social complexity hypothesis

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