Paul A. Fishwick

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| Complex models may have model components distributed over a network and generally require signiicant execution times. The eld of parallel and distributed simulation has grown over the past fteen years to accommodate the need of simulating the complex models using a distributed versus sequential method. In particular, asyn-chronous parallel discrete event(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)
SimPack is a collection of C and C++ libraries and executable programs for computer simulation. In this collection, several different simulation algorithms are supported including discrete event simulation, continuous simulation and combined (multimodal) simulation. The purpose of the SimPack toolkit is to provide the user with a set of utilities that(More)
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)
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)
Our goal is to promote the publication and standardization of digital objects stored on the web to enable model and object reuse. A digital object is an electronic representation of a physical object, including models of the object. There remain many challenges and issues regarding the representation and utilization of these objects, since it is not clear,(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)
Computer simulation is a fundamental discipline for studying complex systems. Like any other discipline, simulation must grow and be ne-tuned so that it maintains its position as the base methodology for doing computational science and constructing digital worlds. We discuss ten areas outside of simulation and demonstrate growth by identifying relationships(More)