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Innovations in Hybrid Intelligent Systems pp 40–47Cite as

Agent-Based Social Modeling and Simulation with Fuzzy Sets

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Part of the book series: Advances in Soft Computing ((AINSC,volume 44))

Abstract

Simple models of agents have been used to study emergent behaviour in social systems. However, when considering the evolution of values in human societies, there is a need for the consideration of more complex agent models, which take into account uncertainty in human thinking. This characteristic can be addressed by using fuzzy logic in the specification of the attributes that describe agents representing individuals, the functions that model the evolution of individual change of mind, the relationships among individuals in a social network, the inheritance, and the similarity between individuals. The introduction of fuzzy logic in the models has improved the results of the simulation.

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Author information

Authors and Affiliations

  1. Facultad de Informática, Universidad Complutense Madrid, Ciudad Universitaria s/n, 28040, Madrid

    Samer Hassan, Luis Garmendia & Juan Pavón

Authors
  1. Samer Hassan
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  2. Luis Garmendia
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  3. Juan Pavón
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Editor information

Editors and Affiliations

  1. Escuela Politécnica Superior Campus Vena, Edifico C, Universidad de Burgos, C/Francisco de Vitoria s/n, 09006, Burgos, Spain

    Emilio Corchado

  2. Departamento de Informática y Automática Facultad de Ciencias, Universidad de Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Juan M. Corchado

  3. Centre for Quantifiable Quality of Service in Communication Systems (Q2S) Centre of Excellence, Norwegian University of Science and Technology, O.S. Bragstads plass 2E, 7491, Trondheim, Norway

    Ajith Abraham

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© 2007 Springer-Verlag Berlin Heidelberg

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Hassan, S., Garmendia, L., Pavón, J. (2007). Agent-Based Social Modeling and Simulation with Fuzzy Sets. In: Corchado, E., Corchado, J.M., Abraham, A. (eds) Innovations in Hybrid Intelligent Systems. Advances in Soft Computing, vol 44. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74972-1_7

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  • DOI: https://doi.org/10.1007/978-3-540-74972-1_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74971-4

  • Online ISBN: 978-3-540-74972-1

  • eBook Packages: EngineeringEngineering (R0)

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