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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/3193

Title: Scenario-driven evaluation of network-centric agent systems
Authors: Cannon, Christopher T.
Keywords: Computer science;Intelligent agents (Computer software);Computer networks -- Evaluation
Issue Date: 17-Mar-2010
Abstract: Distributed systems developed for mission-critical applications such as command and control, situation awareness, and emergency response require rigorous and repeated testing to ensure their safety and performance. While many agree on the necessity of extensive testing, there is little, if any, consensus on how such systems should be tested and measured. This thesis develops a scenario-driven evaluation methodology, based on fundamental concepts from the related literature, for the test and evaluation of network-centric agent systems. The proposed benchmarking process enables reproducible, repeatable experiments to aid technology transfers, avoid duplicated efforts, and support comparisons by comprehensively revealing the capabilities of a particular network-centric agent system. The scenario-driven evaluation methodology is applied to two network-centric agent systems,thereby showing the versatility of this approach and demonstrating definitive system selection based upon system effectiveness and performance.
URI: http://hdl.handle.net/1860/3193
Appears in Collections:Drexel Theses and Dissertations

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