Re: [SwarmFest2004] SwarmFest2004 - Poster Abstact 2

[Rick Riolo]

hi greg,

its not a problem, i expect a few submissions
will drift in today, at least.
(several besides yours have...)

thanks,

 - r

Rick Riolo                           address@hidden
Center for the Study of Complex Systems (CSCS)
4477 Randall Lab
University of Michigan         Ann Arbor MI 48109-1120
Phone: 734 763 3323                  Fax: 734 763 9267
http://cscs.umich.edu/~rlr

On Thu, 1 Apr 2004, Greg Madey wrote:

> Date: Thu, 1 Apr 2004 07:39:22 -0500
> From: Greg Madey <address@hidden>
> To: address@hidden
> Cc: Greg Madey <address@hidden>
> Subject: [SwarmFest2004] SwarmFest2004 - Poster Abstact 2
>
> All ... sorry for being late again. I hope you can still accept this?
> This is the last one. Greg
>
> =======================================
>
> Web-Based Molecular Simulation using Agent-Based Modeling Techniques
>
>
> Note: This poster reports on an ongoing study that began at SwarmFest
> 2002 (Seattle, WA) when one of the investigators presented a research
> problem and requested opinions on the feasibility of using Swarm on the
> study. Those opinions, along with practical advice, contributed to the
> following successful results.
>
> Natural organic matter (NOM), a heterogeneous mixture of molecules,
> plays a crucial role in the evolution of soils, the transport of
> pollutants, and the change of global weather. The evolution of NOM over
> time is an important research area in biology, geochemistry, ecology,
> soil science, and water resources. Due to its complexity and structural
> heterogeneity, new simulation approaches are needed to help to better
> understand the structure and the evolution of NOM. We present a new
> stochastic model, implemented using Java/Swarm, which explicitly treats
> NOM as a large number of discrete heterogeneous molecules. The NOM,
> micro-organisms, and their environment are taken together as a complex
> system, and simulated using an agent-based modeling approach. The
> global properties of NOM evolution over time can be studied by
> simulating the physical and chemical reactions between individual
> agents with temporal and spatial properties. Unlike the previous
> stand-alone simulation models, the NOM simulation model serves as an
> example of E-science, in which we do science on the Web by combining
> recent information technologies (Java 2 Enterprise Edition, J2EE) with
> an agent-based computational approach. An intelligent Web-based
> interface is developed to allow scientists to access the remote
> simulation model from a standard Web browser. The Web-based interface
> enables scientists to remotely provide parameters for their
> simulations, start and stop the simulations, and view the results. The
> initial users of the NOM simulation model includes a geographically
> separated group of NSF sponsored scientists from different research
> areas. A NOM collaboratory is built to promote collaboration among
> these scientists and allow them to share their data and information
> across distributed sites. A XML-based Markup Language, NOML, is
> provided to build the XML-based Web components and facilitate Web
> services development in the future.
>
> Greg Madey
> Computer Science & Engineering
> University of Notre Dame
> address@hidden
>
>
>