Modeling inferential minds in conceptual space

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Abstract

We present an Agent Based Model (ABM) named MIMICS (Modeling Inferential Minds in Conceptual Space), which shows how a social group develops abstract concepts for achieving agreement in communication. Agents describe concepts by assigning properties to them based on learning and communication interactions, trying to develop a conceptual space that discriminates as much as possible between two concepts (i.e., they try to assign properties to concepts decreasing the overlap among the properties that describe them). Contrarily to concrete concepts, those properties come from the social group and not from objects' physical properties. The results show that agents in MIMICS develop abstract concepts that exhibit the same characteristics that are found in studies of real concepts: non-uniform frequency distributions of properties, intersubjective variability and stable concepts that are useful for the simulated social group by providing agreement in communication.

Original languageEnglish
Title of host publicationProceedings - 30th European Conference on Modelling and Simulation, ECMS 2016
EditorsThorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose
PublisherEuropean Council for Modelling and Simulation
Pages131-137
Number of pages7
ISBN (Electronic)9780993244025
DOIs
StatePublished - 2016
Event30th European Conference on Modelling and Simulation, ECMS 2016 - Regensburg, Germany
Duration: 31 May 20163 Jun 2016

Publication series

NameProceedings - 30th European Conference on Modelling and Simulation, ECMS 2016

Conference

Conference30th European Conference on Modelling and Simulation, ECMS 2016
Country/TerritoryGermany
CityRegensburg
Period31/05/163/06/16

Keywords

  • Abstract concepts
  • Agent-based modeling
  • Conceptual agreement Theory
  • Evolution of concepts

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