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Proceedings Paper

MOVIE - A Software Environment For Modeling Complex Adaptive Systems
Author(s): Wojtek Furmanski; Geoffrey Fox
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Paper Abstract

We discuss here the basic elements of the new software system for large scale computation -MOVIE- (Metashell based Object oriented Visual Interactive Environment), recently designed and implemented at Caltech within the Caltech Concurrent Computation Program. From the research perspective, the goal of the MOVIE project is to create a simulation environment for modeling complex systems, with the focus on computational structures capable to adapt and act "intelligently", such as ensembles of image processing, early vision, neural network and Artificial Intelligence modules, integrated in the form of "neural robots". The high level MOVIE model, based on portable communication and computation protocol is suitable for large scale "intelligence engineering" by modeling such systems in distributed heterogeneous multicomputer environment and porting successful implementations to dedicated massively parallel hardware. From the software engineering point of view, the MOVIE model offers a platform for unifying elements of contemporary computing such as networking, windowing, parallelism, number crunching and symbolic processing. The basic idea, borrowed from Sun NeWS, is to use an appropriately extended PostScript as the unifying language. The MOVIE extension aims at promoting PostScript to a general purpose high level object oriented language with a high performance user expandable computational sector, fully compatible with the Adobe model for 2D graphics and the Sun X11 /NeWS model for windowing and multitasking.

Paper Details

Date Published: 1 February 1990
PDF: 13 pages
Proc. SPIE 1196, Intelligent Control and Adaptive Systems, (1 February 1990); doi: 10.1117/12.969925
Show Author Affiliations
Wojtek Furmanski, California Institute of Technology (United States)
Geoffrey Fox, California Institute of Technology (United States)


Published in SPIE Proceedings Vol. 1196:
Intelligent Control and Adaptive Systems
Guillermo Rodriguez, Editor(s)

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