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Dennis M. Buede

Bio: Dennis M. Buede is an academic researcher. The author has contributed to research in topics: Inference & Statistical inference. The author has an hindex of 4, co-authored 12 publications receiving 49 citations.

Papers
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Journal ArticleDOI
TL;DR: A plural modeling approach is proposed that incorporates estimates of all critical uncertainties, and a computational framework is defined to aggregate the predictions from a suite of models, based on this broad array of uncertainties.

14 citations

01 Jun 1990
TL;DR: A model for the optimization of simulation-based training systems was developed using a systematic, top-down design procedure using the IDEFO (Integrated Computer- Aided Manufacturing Definition) system modeling language.
Abstract: : A model for the optimization of simulation-based training systems was developed using a systematic, top-down design procedure. The model consists of five tools that address the following problems: (a) determining which tasks should be trained by part-mission devices, full-mission simulators, or actual equipment; (b) specifying instructional features needed to train a set of tasks efficiently; (c) specifying the levels of fidelity that should be provided along several fidelity dimensions in order to meet task training requirements and satisfy cost limits; (d) determining the family of training devices that can train all required tasks at minimum cost; and (e) determining the optimal allocation of training time to training devices, given constraints on device use. The tools share common data on task requirements, training device features, and costs. A prototype decision support system was developed, and a formative evaluation was conducted. The model was demonstrated on Army rotary-wing aviation tasks, and specifications for application to armor maintenance were deployed. The report describes the model using the IDEFO (Integrated Computer- Aided Manufacturing Definition) system modeling language.

12 citations

Journal ArticleDOI
TL;DR: It is demonstrated that the success in solving a set of increasingly complex challenge problems is associated with an inference enterprise (IE) using inference enterprise models (IEMs), including MIEM.
Abstract: We demonstrate that our success in solving a set of increasingly complex challenge problems is associated with an inference enterprise (IE) using inference enterprise models (IEMs). As part of a sponsored research competition, we created a multimodeling inference enterprise modeling (MIEM) process to achieve winning scores on a spectrum of challenge problems related to insider threat detection. We present in general terms the motivation for and description of our MIEM solution. We then present the results of applying MIEM across a range of challenge problems, with a detailed illustration for one challenge problem. Finally, we discuss the science and promise of IEM and MIEM, including the applicability of MIEM to a spectrum of inference domains.

7 citations

Journal ArticleDOI
01 Jul 2018
TL;DR: A multi‐modeling approach to inference enterprise modeling (MIEM), which combines multiple models to generate multiple predictions of inference enterprise performance and is illustrated on a problem of detecting insider threats in information systems.

7 citations

Journal ArticleDOI
TL;DR: The results of this research are applicable to any area where the objective is to identify a very small subset of a much larger group using incomplete, noisy data.

5 citations


Cited by
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Book
01 Jan 1964
TL;DR: Advances in Experimental Social Psychology continues to be one of the most sought after and most often cited series in this field and contains contributions of major empirical and theoretical interest.
Abstract: Advances in Experimental Social Psychology continues to be one of the most sought after and most often cited series in this field. Containing contributions of major empirical and theoretical interest, this series represents the best and the brightest in new research, theory, and practice in social psychology. This serial is part of the Social Sciences package on ScienceDirect. Visit info.sciencedirect.com for more information. Advances in Experimental Social Psychology is available online on ScienceDirect - full-text online of volume 32 onward. Elsevier book series on ScienceDirect gives multiple users throughout an institution simultaneous online access to an important complement to primary research. Digital delivery ensures users reliable, 24-hour access to the latest peer-reviewed content. The Elsevier book series are compiled and written by the most highly regarded authors in their fields and are selected from across the globe using Elsevier's extensive researcher network. For more information about the Elsevier Book Series on ScienceDirect Program, please visit store.elsevier.com. * One of the most sought after and most often cited series in this field* Contains contributions of major empirical and theoretical interest* Represents the best and the brightest in new research, theory, and practice in social psychology

476 citations

Book
01 Jan 1985
TL;DR: This work focuses on the application of Fuzzy and Artificial Intelligence Methods in the Building of a Blast Furnace Smelting Process Model and the development of Performance Adaptive FuzzY Controllers with Application to Continuous Casting Plants.
Abstract: Preface. Automatic Train Operation System by Predictive Fuzzy Control (S. Yasunobu, S. Miyamoto). Application of Fuzzy Reasoning to the Water Purification Process (O. Yagashita, O. Itoh, M. Sugeno). The Application of a Fuzzy Controller to the Control of a Multi-Degree-of-Freedom Robot Arm (E.M. Scharf, N.J. Mandic). Optimizing Control of a Diesel Engine (Y. Murayama et al.). Development of Performance Adaptive Fuzzy Controllers with Application to Continuous Casting Plants (G. Bartolini et al.). A Fuzzy Logic Controller for Aircraft Flight Control (L.I. Larkin). Automobile Speed Control System Using a Fuzzy Logic Controller (S. Murakami, M. Maeda). An Experimental Study on Fuzzy Parking Control Using a Model Car (M. Sugeno, K. Murakami). A Fuzzy Controller in Turning Process Automation (Y. Sakai, K. Ohkusa). Design of Fuzzy Control Algorithms with the Aid of Fuzzy Models (W. Pedrycz). Human Operator's Fuzzy Model in Man-Machine System with a Nonlinear Controlled Object (K. Matsushima, H. Sugiyama). The Influence of Some Parameters on the Accuracy of a Fuzzy Model (J.B. Kiszka, M.E. Kochanska, D.S. Sliwinska). A Microprocessor Based Fuzzy Controller for Industrial Purposes (T. Yamazaki, M. Sugeno). The Application of Fuzzy and Artificial Intelligence Methods in the Building of a Blast Furnace Smelting Process Model (H. Zhao, M. Ma). An Annotated Bibliography of Fuzzy Control (R.M. Tong).

439 citations

ReportDOI
01 Sep 2013
TL;DR: The State of Knowledge Relative to Intelligence Analysis (SOWR) as mentioned in this paper was a recent effort to understand the research findings in relevant scientific disciplines and to relate these findings to the practice of intelligence analysis.
Abstract: : A prior effort, State of Knowledge Relative to Intelligence Analysis, was initially motivated by the fact that seemingly little change had resulted from numerous studies of the intelligence community. Starting with Pearl Harbor, the U.S. intelligence community has often faced criticism for failing to predict or warn of future events. Though the criticisms have come from different groups, a certain commonality exists among the proposals for change in the intelligence community. The other noteworthy feature of these proposals is how little their content has changed over time. A thorough analysis of the intelligence literature was accomplished. This analysis provided an answer to the question of whether the existing literature on intelligence analysis contains the requisite knowledge to inform the development and application of both the mechanistic and cognitive activities to support doing intelligence analysis. A dominant finding was how little the practice of intelligence analysis had been informed by the findings in related scientific disciplines. The primary objective of this research effort was to understand the research findings in relevant scientific disciplines and to relate these findings to the practice of intelligence analysis. This research effort was based on the full text of over 5,800 documents consisting of nearly 172,000 pages. Our analysis of the current intelligence literature showed a continuation of previously observed trends. The number of publications dealing with intelligence analysis has decreased since 2007; in 2012 publication was at the level observed in 1996-1997. Also, we observed that the literature places less emphasis on the improvement of the quality of intelligence analysis. During the effort described in this report we conducted research syntheses for the topics of critical thinking, thinking dispositions, epistemological beliefs, practice based training, and various facets of cognition.

211 citations

Journal ArticleDOI
01 Jul 2014
TL;DR: A pair of tools to assess the risk of an ICT system through a scenario-based method and their adoption in the assessment of an industrial control system that supervises a power production plant is exemplified.
Abstract: We present a pair of tools to assess the risk of an ICT system through a scenario-based method. In each scenario, rational threat agents compose attacks against the system to reach some predefined goal. The first tool builds a description of the target system by automatically discovering and classifying the vulnerabilities in its components and the attacks they enable. Starting from this description and from the one of the agents, the other tool applies a Monte Carlo method to simulate step by step each agent and its attacks. By collecting samples on the agent attacks, the number of times they reach a goal and the corresponding impact this tool returns a database to compute statistics to support the assessment. After describing both tools, we exemplify their adoption in the assessment of an industrial control system that supervises a power production plant.

29 citations