Friends Forever: Social Relationships with a Fuzzy Agent-Based Model
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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.
Keywordsagent-based modelling friendship fuzzy agent fuzzy logic social simulation
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- 1.Hassan, S., Antunes, L., Arroyo, M.: Deepening the Demographic Mechanisms in a Data-Driven Social Simulation of Moral Values Evolution. In: MABS 2008: Multi-Agent-Based Simulation. LNCS (LNAI), vol. 5269. Springer, Heidelberg (to appear, 2008)Google Scholar
- 5.Blanchard, P., Devaney, R.L., Hall, G.R.: Differential Equations, 2nd edn. Brooks Cole (2002)Google Scholar
- 7.Smithson, M.J., Verkuilen, J.: Fuzzy Set Theory: Applications in the Social Sciences, vol. 147. Sage Publications, Thousand Oaks (April 2006)Google Scholar
- 12.Fort, H., Perez, N.: The Fate of Spatial Dilemmas with Different Fuzzy Measures of Success. Journal of Artificial Societies and Social Simulation 8 (June 2005), http://jasss.soc.surrey.ac.uk/8/3/1.html
- 13.Epstein, J.G., Ohring, M.M., Troitzsch, K.G.: Fuzzy-Logical Rules in a Multi-Agent System. In: SimSocVI Workshop, Groningen, p. 25 (September 2003)Google Scholar
- 14.Situngkir, H.: The Ribbon of Love: Fuzzy-Ruled Agents in Artificial Society. BFI Working Paper Series (2007)Google Scholar
- 15.Hassan, S., Pavón, J., Arroyo, M., León, S.: Agent Based Simulation Framework for Quantitative and Qualitative Social Research: Statistics and Natural Language Generation. In: Amblard, F. (ed.) ESSA 2007: Fourth Conference of the European Social Simulation Association, Toulouse, France, pp. 697–707 (2007)Google Scholar
- 17.Valverde, L.: On the Structure of F-Indistinguishability Operators, University of California at Berkeley, Computer Science Division, Berkeley (September 1984)Google Scholar
- 18.Schweizer, B., Sklar, A.: Probabilistic Metric Spaces. Dover Publications (November 2005)Google Scholar