Organization:
SEED Center for Data Farming (Simulation Experiments & Efficient Designs)

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SEED advances research and application of efficient experimental designs to simulation studies at the Naval Postgraduate School. Our overriding approach has been to advance the state-of-the-art in conducting large-scale simulation studies, by developing and disseminating experimental designs that facilitate the exploration of complex simulation models. Ongoing application areas include studies on peacekeeping, technical and human aspects of warfare, adaptive asymmetric adversaries, homeland security, and networked future forces.
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Publication Search Results

Now showing 1 - 10 of 127
  • Publication
    Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 16 Workshop 28
    (2015-03) Meyer, Ted; Horne, Gary; SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
    Proceedings and Bulletin of the International Data Farming Community, Issue 16, Workshop 28 Publication date: March 2015
  • Publication
    Team 5: Investigating Ground Swarm Robotics Using Agent Based Simulation
    (2006-11) Ho, T.; Lovelace, D.; SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
    The concept of employing ground swarm robotics to accomplish tasks in the future is not a new one. Some suggested applications mentioned in the literature include humanitarian de-mining, plume monitoring, search for survivors in a disaster site, etc. More importantly in the military context and with the development of advanced explosive detectors, swarm robotics with autonomous search and detection capability could potentially address the IED problem faced by foot patrols, and aid in the search for hidden ammunition caches and weapons of mass destruction.
  • Publication
    Team 4: Evaluation of Electro-optical Sensor Systems in Network Centric Operations using ABSEM 0.5
    (2010-09) Geiger, André; Seng, Choo Chwee; Donnelly, Tom; Erlenbruch, Tom; Kallfass, Daniel; Schwierz, Klaus-Peter; Wagner, Gudrun; Seichter, Stephan; SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
    During the last few years, on behalf of the Bundeswehr, the Bundeswehr Procurement Office, and the Bundeswehr Centre for Transformation, Cassidian (formerly EADS) has been working on the development of two agent-based simulation models: First, the model PAX, that concentrates on studying peace support operations and focuses on analyzing aggression emergence within civilian groups. Secondly, the model ABSEM, which is an agent-based model that concentrates on modeling complex technical systems with a detailed physical approach and thus allowing to analyze the combination of various sensor and effector systems in NCO.
  • Publication
    Team 9: Representing Urban Cultural Geography in Stability Operations (RUCG-SO)
    (2008-04) SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
    Representing Urban Culture Geography in Stability Operations concerns the representation of the civilian population in a conflict environment. This working group used a scenario developed for Pythagoras and a scenario developed for a prototype multi-agent system model of the civilian population to explore the response of the civilian population to insurgent, government and stability force actions in a counterinsurgency environment. The working group also examined potential measures of merit from recent work by an irregular warfare modeling and analysis working group.
  • Publication
    Recent Developments in the MANA Agent-based Model
    (2006-11) McIntosh, Gregory C.; Galligan, David P.; Anderson, Mark A.; Lauren, Michael K.; SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
    Agent-based models have recently gained in popularity for modelling military operations. They purposefully leave out detailed physical attributes of the military entities concerned if this is not expected to have any bearing on the study at hand. This allows scenarios to be run relatively fast, over many excursions in order to discover unique situations or tactics where friendly forces can achieve dominance over an enemy. Another key feature of agent-based models is that, although the one-to-one interaction between various agents and their environment may be quite simple, the combined effect of many agents interacting can lead to complicated group dynamics and emergent behaviour. In this regard, agent-based models have the potential to represent the more chaotic and intangible aspects of military conflicts.
  • Publication
    Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 5 Workshop 17
    (2008-09) SEED Center for Data Farming (Simulation Experiments & Efficient Designs); Meyer, Ted; Horne, Gary
    The International Data Farming Community is a consortium of researchers interested in the study of Data Farming, its methodologies, applications, tools, and evolution. The primary venue for the Community is the biannual International Data Farming Workshops, where researchers participate in team-oriented model development, experimental design, and analysis using high performance computing resources... that is, Data Farming.
  • Publication
    Team 11: Non-Lethal Weapons in Crowd Confrontation Situations
    (2008-04) Taylor, Ivan W.; Gagne, Guillaume; Sanchez, Paul; Rioux, Francois; Mertens, Andreas; SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
    Crowd confrontations are a common occurrence. In the Free World, peaceful protest is a human right. However, when a crowd becomes violent, control forces need to step in to restore order. They should do this with minimum but sufficient force. The use of Non-Lethal Weapons has been promoted to ensure a continuum of force between the simple presence of the control forces and the use of lethal weapons. However, the strategy and tactics for the employment of Non-Lethal Weapons is not well developed.
  • Publication
    Team 6: Application of Design of Experiments & Data Farming Techniques for Planning Tests in a Joint Mission Environment
    (2009-03) Beach, Timothy; Dryer, David; Sanchez, Susan; Upton, Steve; Alt, John; Askman, Victor; Richmond, Chris; Henne, Oliver; Hock, Lee Kah; Sheng, Lim Hang; Cheng, Yeo Lee; Yang, Ivy Lee Siew; Kiat, Dave Ang Choon; SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
    The use of design of experiment (DOE) and data farming techniques is critical to effectively planning, and subsequently evaluating, tests of complex adaptive systems in a joint mission environment. The Joint Test and Evaluation Methodology (JTEM) program, in conjunction with the SEED Center at the Naval Postgraduate School (NPS), and TRADOC Analysis Center-Monterey, is developing methods and processes that incorporate these techniques into the development of the "test and evaluation strategy" phase of the Capability Test Methodology (CTM). In order to structure the underlying business rules and concepts in the CTM's evaluation thread, a Capability Evaluation Metamodel (CEM) is being developed.
  • Publication
    Team 2: Simulation of Technical Aspects in Network-Centric Operations: Results
    (2006-11) Erdmann, B.; Haymann, Karsten; Musselman, Roger; Schwierz, Klaus-P.; SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
    The German Federal Office of Defense Technology and Procurement, has been analyzing the influence of networked sensors and effectors on military capabilities. Background for the actual technical evaluations of sensors, effectors and the connecting network is the scenario vignette: Convoy Protection as part of an over all scenario PSO in an urban environment.
  • Publication
    Team 4: Evaluation of electro-optical sensor systems in network centric operations using ABSEM 0.3
    (2009-11) Haymann, Karsten; Nitsch, Daniel; Horne, Gary; Schwierz, Klaus-Peter; Kallfass, Daniel; Wagner, Gudrun; SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
    The development of the agent-based sensor and effector model ABSEM was started in 2008 by EADS on behalf of the German Federal Office of Defence Technology and Procurement. Since then it has been continuously enhanced and at IDFW19 version 0.3 was released. The model concentrates on modeling complex technical aspects in NCO and to do so, it integrates detailed physical theories when it comes to simulating the output of various sensors and when determining the effect of different weapon systems. The new model version is characterized by more sophisticated effector modeling and extended possibilities regarding the setup of the agents' behavior. Furthermore it contains a first radar model implementation.