Aggressive and peaceful behavior in multiagent systems on cellular space




artificial life, multiagent, neuroevolition, predator-prey


One of the key issues in Multi-Agent simulation approach is a consolidation of great model variety. Many researches govern own unique models that are similar in basic principles but for complex adaptive systems such as Artificial Ecosystems slight difference in architecture and parameters calibration could affect crucially on the emergent properties of the model. As it was denoted by the pioneers of the Artificial Ecosystems modelling Robert Axtell and Robert Axelrod: variety of Multi-Agent models need introduction of methods and technics that allows consolidating of its results. In work we present modification of model similar to classic Artificial Life spatial lattice models and trace the exhibition of aggressive and peaceful behavior depending on the income resource. We consider results of both models’ simulation as it was proposed in "docking models" method by Axtell and Axelrod.

Author Biographies

Valentin V. Zavertanyy, ESC "Institute for Applied System Analysis" NTUU "KPI", Kyiv

Valentin Viktorovych Zavertanyy,

graduate student of Educational-scientific complex "Institute for Applied System Analysis" NTUU "KPI", Kyiv, Ukraine

Alexander S. Makarenko, ESC "Institute for Applied System Analysis" NTUU "KPI", Kyiv

Alexander Sergijovych Makarenko,

professor, Dr. Sci. (Phys.-Math.), head of the applied nonlinear analysis department of educational-scientific complex "Institute for Applied System Analysis" NTUU "KPI", Kyiv, Ukraine


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Decision making and control in economic, technical, ecological and social systems