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Computer Science
Modeling and Simulation

Agent-Based Modeling of Social Complex Systems

Profile image of Juan PavónJuan Pavón

2006, Lecture Notes in Computer Science

https://doi.org/10.1007/11881216_11
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4 pages

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Abstract

This thesis proposal aims to provide a new approach to the study of complex adaptive systems in social sciences through a methodological framework for modeling and simulating these systems like artificial societies. Agent based modeling (ABM) is well fitted for the study of social systems as it focuses on how local interactions among agents generate emergent larger and global social structures and patterns of behavior. The issues addressed by our framework are presented as well as its most important components.

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References (9)

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  8. Sansores, C., J. Pavón. Agent-Based Simulation Replication: a Model Driven Architecture Approach. In: A. Gelbukh, et al. (Eds.): Fourth Mexican International Conference on Artificial Intelligence, MICAI-2005. Lecture Notes in Artificial Intelligence, Vol. 3789. Springer-Verlag. Monterrey, México (2005), 244-256.
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Related topics

  • Sociology
  • Artificial Intelligence
  • Modeling and Simulation
  • Adaptive System
  • Complex Adaptive System
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