ACRI '01 Proceedings of the 5th International Conference on Cellular Automata for Research and Industry
Simulation of a cellular landslide model with CAMELOT on high performance computers
Parallel Computing - Special issue: High performance computing with geographical data
A Comprehensive Overview of the Applications of Artificial Life
Artificial Life
A macroscopic collisional model for debris-flows simulation
Environmental Modelling & Software
Simulation environment scenarios using cellular automata for wireless sensor network analysis
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
Applying Cellular Automata and DEVS Methodologies to Digital Games: A Survey
Simulation and Gaming
How to distribute modeling effort for complex systems
Proceedings of the 2010 Conference on Grand Challenges in Modeling & Simulation
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The concept of self-organized criticality evolved from studies of three simple cellular-automata models: the sand-pile, slider-block, and forest-fire models. In each case, there is a steady input and the loss is associated with a power-law distribution of "avalanches." Each of the three models can be associated with an important natural hazard: the sand-pile model with landslides, the slider-block model with earthquakes, and the forest-fire model with forest fires. We show that each of the three natural hazards have frequency-size statistics that are well approximated by power-law distributions. The power-law behavior of both the models and the natural hazards has important implications for probabilistic hazard assessments. The recurrence interval for a severe event can be estimated by extrapolating the observed frequency-size distribution of small and medium events.