CANv2: A Hybrid CA Model by Micro and Macro-dynamics Examples Claudia R. Calidonna 1 , Adele Naddeo 2 , Giuseppe A. Trunfio 3 , and Salvatore Di Gregorio 4 1 CNR-ISAC Istituto di Scienze dell’Atmosfera e del Clima, Area Industriale, Comparto 15 - 88046 Lamezia Terme (CZ), Italy 2 CNISM, Unit`a di Ricerca di Salerno and Dipartimento di Fisica “E. R. Caianiello”, Universit´a degli Studi di Salerno, 84084 Fisciano (SA), Italy 3 Facolt´ a di Architettura, Universit´a degli Studi di Sassari, 07041 Alghero (SS) 4 Italy Dipartimento di Matematica, Universit`a della Calabria, 87036 Rende (CS), Italy cr.calidonna@isac.cnr.it, naddeo@sa.infn.it, trunfio@uniss.it, toti.dig@unical.it Abstract. Cellular Automata (CA), one of the most challenging com- putational paradigms in microscopic and macroscopic complex systems simulation, can be successfully addressed also by using a modified CA classical approach. In this contribution we discuss related aspects in ap- plying the CANv2 approach in examples of micro and macro dynamics such as: superconductive devices and forest fire simulation. Advantages and limitations are introduced when both microscopic and macroscopic dynamics are taken into account justifying the introduction of hybrid components between single cellular automata, i.e. a network in which global behavior and local interactions can coexist with side effects in computational parallelism addressing. 1 Introduction Today Cellular Automata (CA) are a powerful and reliable approach, alterna- tive to differential equations, for modeling and simulation of complex dynamical systems, whose evolution can be described by considering only local interac- tions between their elementary parts. So, the strategy is the decomposition of a complex phenomenon into a finite number of elementary processes, successfully applied by Di Gregorio [1] method, the overall dynamics being the combination of such elementary processes. Thus CA provide useful models for a lot of ap- plications in natural sciences, ranging from the simulation of fluid dynamics to physical, chemical and geological processes. Our hybrid computational model, the Cellular Automata Network version 2 (CANv2) model, has been introduced [2], which is particularly suitable for the simulation of microscopic as well as macroscopic phenomena, introducing the possibility to have a hybrid network of standard cellular automata components and global operators. Each automaton of the network represents, for instance, a S. Bandini et al. (Eds.): ACRI 2010, LNCS 6350, pp. 128–137, 2010. c  Springer-Verlag Berlin Heidelberg 2010