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This research explores the dynamics of friendship using a fuzzy agent-based model, examining the factors that contribute to the formation and evolution of friendships. The study also investigates the impact of fuzzification on the accuracy and realism of friendship dynamics.
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Friends Forever: Social Relationships with a Fuzzy Agent-Based Model Samer Hassan Mauricio Salgado Juan Pavón Universidad Complutense de Madrid University of Surrey
Contents • Understanding Friendship Dynamics • The ABM Mentat • Fuzzification process • Results • Conclusions HAIS08 2008
Understanding Friendship Dynamics • “Meeting” & “Mating”: strangers => acquaintances => friends => partner • “Meeting”: depends on opportunities alone • space & time • “Mating”: depends on both opportunities & attraction HAIS08 2008
Understanding Friendship Dynamics • Proximity principle: The more similar two individuals are, the stronger their chances of becoming friends • Features channel individual preferences • Homogeneous friendship choices HAIS08 2008
Contents • Understanding Friendship Dynamics • The ABM Mentat • Fuzzification process • Results • Conclusions HAIS08 2008
The ABM Mentat • Aim: simulate the process of change in moral values • in a period • in a society • Plenty of factors involved • Now focusing on demography HAIS08 2008
Mentat: architecture • Agent: • Mental State attributes • Life cycle patterns • Demographic micro-evolution: • Couples • Reproduction • Inheritance HAIS08 2008
Mentat: architecture • World: • 3000 agents • Grid 100x100 • Demographic model • Network: • Communication with Moore Neighbourhood • Friends network • Family network HAIS08 2008
Mentat: Relationships • Meeting • Agents randomly distributed in space • Mating • Similarity operator => Boolean friendship • Matchmaking • Couple chosen among “candidates” • Quantity? The more friends, the more couples • Quality? Couples should be similar HAIS08 2008
Mentat: Relationships • Meeting • Agents randomly distributed in space • Mating • Similarity operator => Friendship • Matchmaking • Couple chosen among “candidates” • Quantity? The more friends, the more couples • Quality? Couples should be similar HAIS08 2008
Contents • Understanding Friendship Dynamics • The ABM Mentat • Fuzzification process • Results • Conclusions HAIS08 2008
Be Fuzzy, my Friend • Similar, Friend: fuzzy concepts • Fuzzification • Improve accuracy of similarity • Improve realism of friendship • Improve quality couples HAIS08 2008
Fuzzy Similarity • Fuzzifying variables • μeconomy :U →[0,1] • μeconomy (ind) = 0.7 • Fuzzifying Similarity operator HAIS08 2008
Fuzzy Friendship • Boolean => Fuzzy relationship • But friendship occurs through time: Dynamic evolution! • Hypothesis: Logistic function HAIS08 2008
Fuzzy Friendship Evolution HAIS08 2008
Couples • Couple relationship cannot be fuzzified • But process improved: • Accuracy of similarity • New info: friendship HAIS08 2008
Contents • Understanding Friendship Dynamics • The ABM Mentat • Fuzzification process • Results • Conclusions HAIS08 2008
Results • Implementations (FS, FF): • FS: attributes & similarity fuzzified • FF: friendship fuzzified, evolving & affecting partner choice • Configurations: • RND-Fr: promoting random friends (agents can be linked to a non-similar neighbour) • SIM-Fr: promoting similarity-based friends (agents will give priority to the most similar neighbours) HAIS08 2008
Results HAIS08 2008
Contents • Understanding Friendship Dynamics • The ABM Mentat • Fuzzification process • Results • Conclusions HAIS08 2008
Conclusions • Fuzzification fits well in social processes • Achieved improvements in • Accuracy of similarity • Realism of friendship • Continuous • Evolving • Quality of the couples • Future work • Stability of friendship • Weak links HAIS08 2008
Thanks for your attention! Samer Hassan samer@fdi.ucm.es Universidad Complutense de Madrid University of Surrey HAIS08 2008
Contents License • This presentation is licensed under a Creative Commons Attribution 3.0 http://creativecommons.org/licenses/by/3.0/ • You are free to copy, modify and distribute it as long as the original work and author are cited HAIS08 2008