Self-organized and social models of criminal activity in urban environments

  • Authors:

  • Adriano Melo;Ronaldo Menezes;Vasco Furtado;André L. V. Coelho

  • Affiliations:

  • Graduate Program in Applied Informatics, University of Fortaleza, Fortaleza, Brazil;Computer Sciences Florida Tech, Melbourne, FL;Graduate Program in Applied Informatics, University of Fortaleza, Fortaleza, Brazil;Graduate Program in Applied Informatics, University of Fortaleza, Fortaleza, Brazil

  • Venue:
  • ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
  • Year:
  • 2006

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Abstract

Multi-Agent Systems (MAS) are extensively used as a tool for simulation of dynamic systems. Geosimulation is an urban phenomena approach that uses the multi-agent methodology to simulate discrete, dynamic, and event-oriented systems. Our focus in this paper is to use self-organization, specially strategies inspired by solutions from Swarm Intelligence, as well as the idea of social networks, and demonstrate their effect on learning in geosimulation agents.