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CA-CSC'09 Workshop Invited Talk - Professor P. M. A. Sloot

Last modified 2009-07-07 21:54

Modeling Dynamic Systems with Cellular Automata

Prof. P. M. A. Sloot
Computational Science, Institute for Informatics
University of Amsterdam
Amsterdam, The Netherlands

Date: July 13, 2009
Time: 02:40 - 03:20pm
Location: Copper Room


Abstract

    In modeling dynamic systems, one of the first questions to be answered is whether the involved processes can be viewed to be discrete in state, time, space, or continuous. The model choice should be robust with respect to the chosen space-time-state framework.

    In this talk I will focus on complete discrete model systems: Cellular Automata. Cellular Automata (CAs) are decentralized spatially extended systems consisting of large numbers of simple and identical components with local connectivity. Such systems have the potential to perform complex computations with a high degree of efficiency and robustness, as well as to model the behavior of complex systems from nature. CAs have been studied extensively in the natural sciences, mathematics and in computer science. They have been considered as mathematical objects about which formal properties can be proved and have been used as parallel computing devices, both for high-speed simulation of scientific models as for computational tasks such as image processing. CAs have also been used as abstract models for studying ‘emergent’ cooperative or collective behavior in complex systems (e.g. Sloot 2001a). In addition CAs have been successfully applied to the simulation of a large variety of dynamical systems such as biological processes including pattern formation, earthquakes, urban growth, galaxy formation and most notably in studying fluid dynamics. Their implicit spatial locality allows for very efficient high performance implementations and incorporation into advanced programming environments. For a selection of the numerous papers in all of these areas, see, e.g., (Bandini 2002), (Burks 1970), (Deutsch 2004), (Farmer 1984), (Forrest 1990), (Frish 1986), (Ganguly 2003), (Gutowitz 1990), (Jesshope 1994), (Kaandorp 1996), (Mitchell 1998), (Naumov 2004), (Sloot 1997, 1999, 2001b, 2001c, 2002, 2004), and (Wolfram 1986a, 1986b, 2002).

    In this talk I will give some background on CA modeling and simulation of dynamical systems with an emphasis on simulating fluid dynamics.

Academic Co-Sponsors

United States Military Academy, Network Science Center


Biomedical Cybernetics Laboratory, HST of Harvard University and MIT, USA


Argonne's Leadership Computing Facility of Argonne National Laboratory

Functional Genomics Laboratory, University of Illinois at Urbana-Champaign, USA
Minnesota Supercomputing Institute, University of Minnesota, USA
Intelligent Data Exploration and Analysis Laboratory, University of Texas at Austin, Austin, Texas, USA
Harvard Statistics Department Genomics & Bioinformatics Laboratory, Harvard University, USA

Texas Advanced Computing Center, The University of Texas at Austin, Texas

Center for the Bioinformatics and Computational Genomics, Georgia Institute of Technology, Atlanta, Georgia, USA

Bioinformatics & Computational Biology Program, George Mason University, Virginia, USA


Institute of Discrete Mathematics and Geometry, Vienna University of Technology, Austria

BioMedical Informatics & Bio-Imaging Laboratory, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA
Knowledge Management & Intelligent System Center (KMIS) of University of Siegen, Germany

National Institute for Health Research, UK


Hawkeye Radiology Informatics, Department of Radiology, College of Medicine, University of Iowa, Iowa, USA

Institute for Informatics Problems of the Russian Academy of Sciences, Moscow, Russia.
Medical Image HPC & Informatics Lab (MiHi Lab), University of Iowa, Iowa, USA
SECLAB An inter-university research group (University of Naples Federico II, the University of Naples Parthenope, and the Second University of Naples, Italy)
The University of North Dakota, Grand Forks, North Dakota, USA
Intelligent Cyberspace Engineeing Lab., ICEL, Texas A&M; University (Com./Texas)

International Society of Intelligent Biological Medicine


World Academy of Biomedical Sciences and Technologies



Corporate Sponsor



Other Co-Sponsors
European Commission
High Performance Computing for Nanotechnology (HPCNano)

HoIP - Health without Boundaries


Hodges' Health

The International Council on Medical and Care Compunetics

GridToday - enewsletter focused on Grid, SOA, Virtualization, Storage, Networking and Service-Oriented IT


HPCwire - The Leading Source for Global News and Information Covering the Ecosystem of High Productivity Computing

The UK Department for Business, Enterprise & Regulatory Reform
VMW Solutions Ltd.
Scientific Technologies Corporation

Bentham Science Publishers


 


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