An Agent-Based Coupling Platform for Complex Automata

The ability to couple distinct computational models of science and engineering systems is still a recurring challenge when developing multiphysics applications. The applied coupling technique is often dictated by various constraints (such as hard- and software requirements for the submodels to be coupled). This may lead to different coupling strategies/implementations in case a submodel has to be replaced in an existing coupled setup. Additional efforts are required when it comes to multiscale coupling. At least one of the submodels has to be modified to provide a matching interface on a specific spatial and temporal scale. In the present paper we describe a generic coupling mechanism/framework to reduce these common problems and to facilitate the development of multiscale simulations consisting of a multitude of submodels. The resulting implementation allows the coupling of legacy as well as dedicated codes with only minor adjustments. As the system is being build upon the JADE library, our platform fully supports computations on distributed heterogeneous hardware. We discuss the platform's capabilities by demonstrating the coupling of several cellular-automata kernels to model a coupled transport problem.

[1]  Manfred Krafczyk,et al.  Advection-diffusion lattice Boltzmann scheme for hierarchical grids , 2008, Comput. Math. Appl..

[2]  E. Regar,et al.  Serial follow-up after optimized ultrasound-guided deployment of Palmaz-Schatz stents. In-stent neointimal proliferation without significant reference segment response. , 1997, Circulation.

[3]  M. Holcombe,et al.  The epitheliome: agent-based modelling of the social behaviour of cells. , 2004, Bio Systems.

[4]  Jaime Simão Sichman,et al.  Multi-Agent-Based Simulation , 2002, Lecture Notes in Computer Science.

[5]  Agostino Poggi,et al.  Developing Multi-agent Systems with JADE , 2007, ATAL.

[6]  Fabio Bellifemine,et al.  Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology) , 2007 .

[7]  NICHOLAS R. JENNINGS,et al.  An agent-based approach for building complex software systems , 2001, CACM.

[8]  Paul Davidsson,et al.  Multi Agent Based Simulation: Beyond Social Simulation , 2000, MABS.

[9]  Jack Dongarra,et al.  Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27 - 30, 2007, Proceedings, Part III , 2007, ICCS.

[10]  R. Fujimoto Parallel and distributed simulation , 1995, Winter Simulation Conference Proceedings, 1995..

[11]  Manfred Krafczyk,et al.  Introducing Complex Automata for Modelling Multi-Scale Complex Systems , 2006 .

[12]  Alfons G. Hoekstra,et al.  Towards a Complex Automata Framework for Multi-scale Modeling: Formalism and the Scale Separation Map , 2007, International Conference on Computational Science.

[13]  S. Turek,et al.  Benchmark computations based on Lattice-Boltzmann, Finite Element and Finite Volume Methods for laminar Flows , 2006 .