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Virtual reality and microworlds as catalyst instructional events to alter preexisting aternative frameworks /Santos-DeVries, A. Esther, January 1998 (has links)
Thesis (Ph. D.)--Lehigh University, 1999. / Includes vita. Bibliography: leaves 111-116.
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A knowledge-based environment for hierarchical modelling and simulation.Kim, Tag Gon. January 1988 (has links)
Hierarchical, modular specification of discrete-event models offers a basis for reusable model bases and hence for enhanced simulation of truly varied design alternatives. This dissertation develops a knowledge-based environment for hierarchical modelling and simulation of discrete-event systems as the major part of a longer, ongoing research project in artificial intelligence and distributed simulation. In developing the environment, a knowledge representation framework for modelling and simulation, which unifies structural and behavioral knowledge of simulation models, is proposed by incorporating knowledge representation schemes in artificial intelligence within simulation models. The knowledge base created using the framework is composed of a structural knowledge base called entity structure base and a behavioral knowledge base called model base. The DEVS-Scheme, a realization of DEVS (Discrete Event System Specification) formalism in a LISP-based, object-oriented environment, is extended to facilitate the specification of behavioral knowledge of models, especially for kernel models that are suited to model massively parallel computer architectures. The ESP-Scheme, a realization of entity structure formalism in a frame-theoretic representation, is extended to represent structural knowledge of models and to manage it in the structural knowledge base. An advantage of the knowledge-based environment is that it is capable of automatically synthesizing hierarchical, modular models from model base resident components defined by the extended DEVS-Scheme under the direction of structural knowledge using the extended ESP-Scheme. Since both implementation and the underlying LISP language are accessible to the user, the result is a medium capable of combining simulation modelling and artificial intelligence techniques. To show the power of the environment, modelling and simulation methodology in the environment are presented using an example of modelling a hypercube computer architecture. Applications of the environment to knowledge-based computer systems design, communications network design, and diagnostic expert systems design are discussed. Since structure descriptions in the environment are susceptible to run-time modification, the environment provides a convenient basis for developing variable family and variable structure simulation models such as adaptive computer architectures. Thus, the environment represents a significant step toward realizing powerful concepts of system-theoretic based formalisms. The environment also serves as a medium for developing distributed simulation architectures for hierarchical, modular discrete-event models.
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Knowledge based simulation system--an application in controlled environment simulation systemZhang, Guoging, 1963- January 1988 (has links)
This thesis systematically identifies the building blocks of a knowledge based system for simulation and modelling. We present the design and implementation of Controlled Environment Simulation System (CESS), which bridges a discrete event simulation system (DEVS-SCHEME) and a continuous simulation system (TRNSYS). The rationale behind the approach is that a discrete or a continuous model can be abstracted to a level at which the uniform treatment on these two kinds of models is possible. A top-down approach to model creation (abstraction) is proposed, in contrast to the traditional bottom-up approach. CESS is implemented on an object-oriented programming environment (SCOOPS on TI-SCHEME). A knowledge representation scheme known as System Entity Structure is employed for MODEL management, recording system structural knowledge, and the utilization of techniques in Artificial Intelligence. Some prospective research topics are also brought up.
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The cost of terminating parallel discrete-event simulations /Sanjeevan, Vasant, January 1992 (has links)
Thesis (M.S.)--Virginia Polytechnic Institute and State University, 1992. / Vita. Abstract. Includes bibliographical references (leaves 64-65). Also available via the Internet.
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Modelling fuel consumption of advanced technology vehicles in traffic networks using artificial neural networks /Garcia-Manriquez, Jaime, January 1900 (has links)
Thesis (Ph. D.)--Carleton University. / Includes bibliographical references (p. 226-237). Also available in electronic format on the Internet.
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The simulation information filtering tool (sift) : an information filtering application for decision makers participating in combat training simulation exercisesLusher, Rodney L. 01 January 1997 (has links)
No description available.
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Command control system modeling for evaluating readinessBoner, Kevin Eugene, 1961- January 1988 (has links)
The objective of this research was to develop a framework whereby the United States Naval Surface Forces could be provided with better information to determine their overall readiness capability. This study utilized the new Readiness Assessment and Reporting Standard (S9410-AN-STD-010/AEGIS) as a guide. Also, a System Design Methodology was used as a tool to develop mathematical models for generating the readiness capability for a particular system. The specific system selected for demonstrating this framework was the Gun Weapon System (GWS) being developed for the Arleigh Burke DDG-51 Class Destroyer.
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Practical methodologies for agent-oriented conceptual modellingKrishna, Aneesh. January 2006 (has links)
Thesis (Ph.D.)--University of Wollongong, 2006. / Typescript. Includes bibliographical references: leaf 153-168.
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Migrating to a real-time distributed parallel simulator architectureDuvenhage, Bernardt. January 2008 (has links)
Thesis (MSc (Computer science))--University of Pretoria, 2008. / Includes bibliographical references (p. 143-147)
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Optimizing bandwidth of tactical communications systems /Cox, Criston W. January 2005 (has links) (PDF)
Thesis (M.S. in Systems Technology (Joint Command, Control, Communications, Computers and Intelligence (JC4I))--Naval Postgraduate School, June 2005. / Thesis Advisor(s): William Kemple, John Osmundson. Includes bibliographical references (p. 59-60). Also available online.
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