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

Samer Hassan, Mauricio Salgado, Juan Pavon

Resultado de la investigación: Conference contribution

11 Citas (Scopus)

Resumen

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.

Idioma originalEnglish
Título de la publicación alojadaHybrid Artificial Intelligence Systems - Third International Workshop, HAIS 2008, Proceedings
Páginas523-532
Número de páginas10
Volumen5271 LNAI
DOI
EstadoPublished - 2008
Evento3rd International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008 - Burgos, Spain
Duración: 24 sep 200826 sep 2008

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen5271 LNAI
ISSN (versión impresa)03029743
ISSN (versión digital)16113349

Other

Other3rd International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008
PaísSpain
CiudadBurgos
Período24/09/0826/09/08

Huella dactilar

Agent-based Model
Fuzzy Model
Proximity
Fuzzy sets
Logistics
Fuzzy Sets
Crossover
Likely
Tend
Concepts
Relationships
Similarity
Model

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Citar esto

Hassan, S., Salgado, M., & Pavon, J. (2008). Friends forever: Social relationships with a fuzzy agent-based model. En Hybrid Artificial Intelligence Systems - Third International Workshop, HAIS 2008, Proceedings (Vol. 5271 LNAI, pp. 523-532). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5271 LNAI). https://doi.org/10.1007/978-3-540-87656-4_65
Hassan, Samer ; Salgado, Mauricio ; Pavon, Juan. / Friends forever : Social relationships with a fuzzy agent-based model. Hybrid Artificial Intelligence Systems - Third International Workshop, HAIS 2008, Proceedings. Vol. 5271 LNAI 2008. pp. 523-532 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Hassan, S, Salgado, M & Pavon, J 2008, Friends forever: Social relationships with a fuzzy agent-based model. En Hybrid Artificial Intelligence Systems - Third International Workshop, HAIS 2008, Proceedings. vol. 5271 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5271 LNAI, pp. 523-532, 3rd International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008, Burgos, Spain, 24/09/08. https://doi.org/10.1007/978-3-540-87656-4_65

Friends forever : Social relationships with a fuzzy agent-based model. / Hassan, Samer; Salgado, Mauricio; Pavon, Juan.

Hybrid Artificial Intelligence Systems - Third International Workshop, HAIS 2008, Proceedings. Vol. 5271 LNAI 2008. p. 523-532 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5271 LNAI).

Resultado de la investigación: Conference contribution

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Hassan S, Salgado M, Pavon J. Friends forever: Social relationships with a fuzzy agent-based model. En Hybrid Artificial Intelligence Systems - Third International Workshop, HAIS 2008, Proceedings. Vol. 5271 LNAI. 2008. p. 523-532. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-87656-4_65