Friends forever: Social relationships with a fuzzy agent-based model

Samer Hassan, Mauricio Salgado, Juan Pavon

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

13 Citations (Scopus)

Abstract

Sociological research shows that friendship and partner choice tend to reveal a bias toward social similarity. These relations are ruled by the so called "proximity principle" which states that the more similar two individuals are, the more likely they will become friends. However, proximity, similarity or friendship are concepts with blurred edges and grades of membership (acquaintances, friends, couples). Therefore, in order to model the friendship dynamics we work on an Agent-Based Model that already manages the social relationships, together with demographics and evolutionary crossover. To introduce these theoretical concepts we decided to fuzzify the system, explaining the process in detail. Thus, we end up with fuzzy sets and operations, a fuzzy friendship relationship, and a logistic function for its evolution.

Original languageEnglish
Title of host publicationHybrid Artificial Intelligence Systems - Third International Workshop, HAIS 2008, Proceedings
Pages523-532
Number of pages10
DOIs
Publication statusPublished - 2008
Event3rd International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008 - Burgos, Spain
Duration: 24 Sept 200826 Sept 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5271 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008
Country/TerritorySpain
CityBurgos
Period24/09/0826/09/08

Keywords

  • Agent-based modelling
  • Friendship
  • Fuzzy agent
  • Fuzzy logic
  • Social simulation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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