Complex network representation of multiagent systems with cooperative and competitive interactions

Authors

  • Leonidas Facundo Caram Faculty of Engineering, University of Buenos Aires
  • Cesar Federico Caiafa Conicet - National Scientific and Technical Research Council
  • Araceli Noemi Proto Faculty of Engineering, University of Buenos Aires

DOI:

https://doi.org/10.1478/AAPP.92S1B2

Keywords:

Dynamic Interaction, Multiagent System, Peer-to-Peer interaction.

Abstract

The dynamic behavior of Multi-Agent Systems (MAS) is analyzed in the context of a modified Lotka-Volterra model. The interaction strength is determined by the difference of agent sizes: as the difference increases, the interaction is weaker. Competitive and cooperative scenarios are analyzed, showing clusters of agents in the stationary state. However, meantime in the competitive scenario the agent sizes are constrained to be non greater than the capacity value (β = 1), in the cooperative scenario, they are allowed to exceed such capacity making clear the advantages of cooperation. The complex network representation is introduced in order to enhance the role of agent sizes and their one-on-one interactions in the dynamic behavior of the system.

Author Biographies

  • Leonidas Facundo Caram, Faculty of Engineering, University of Buenos Aires
    Adjunct Professor
  • Cesar Federico Caiafa, Conicet - National Scientific and Technical Research Council
    Researcher

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Published

2014-04-05

Issue

Section

PISRS: Mathematics in Economics and Finance