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We have studied neural networks as models for time series forecasting, and our research compares the Box-Jenkins method against the neural network method for long and short term memory series. Our work was inspired by previously published works that yielded inconsistent results about comparative performance. We have since experimented with 16 time series of(More)
SimPack is a collection of C and C++ libraries and executable programs for computer simulation. In this collection, several diierent simulation algorithms are supported including discrete event simulation, continuous simulation and combined (multimodel) simulation. The purpose of the SimPack toolkit is to provide the user with a set of utilities that(More)
Qualitative models arising in artificial intelligence domain often concern real systems that are difficult to represent with traditional means. However, some promise for dealing with such systems is offered by research in simulation methodology. Such research produces models that combine both continuous and discrete-event formalisms. Nevertheless, the aims(More)
The web has a short history, but has grown at an exponential pace since its introduction six years ago. Web-based simulation represents the connection between the web and the field of simulation. Web based simulation is not an existing field but rather an idea which represents an interest on the part of simulationists to exploit web technology. To further(More)
In a few short years, Web-Based Simulation, has exhibited explosive growth in the simulation research community. This paper which grew out of a panel discussion at the 2000 WEBSIM Conference , briefly reviews the development of this research area and considers future opportunities, both on the research and commercial sides. On the research side, the area is(More)
Ontologies represent the next important phase of the World Wide Web, creating a <i>semantic web</i> which links together disparate pieces of information and knowledge. Creating ontologies within computer simulation can be seen as a logical next phase of the web-based modeling and simulation thrust, where the emphasis is on knowledge and its representation(More)
An " agent " in a computer simulation is an object with a dynamic model driving its actions. There are different classifications for agents, for example: autonomous, intelligent, and software. A cell within a cellular automaton might be considered an agent with the complete environment being a multi-agent system. An object containing an artificial(More)
— We present an introduction to the new interdisciplinary area of aesthetic computing and then define this area with examples from each of our own disciplines, practices, and research. While several decades of publication and work have resulted in significant advancements in art, as instrumented with technology, less emphasis has been placed on studying the(More)
Neural models are enjoying a resurgence in systems research primarily due to a general interest in the connectionist approach to modeling in artificial intelligence and to the availability of faster and cheaper hardware on which neural net simulations can be executed. We have experimented with using a multi-layer neural network model as a simulation model(More)