Collaborative effects-based planning using adversary models and target set optimization

被引:0
|
作者
Pioch, NJ [1 ]
Daniels, T [1 ]
Pielech, B [1 ]
机构
[1] Alphatech Inc, Burlington, MA 01803 USA
来源
ENABLING TECHNOLOGIES FOR SIMULATION SCIENCE VIII | 2004年 / 5423卷
关键词
effects-based planning; adversary modeling; optimization; collaboration; decision support;
D O I
10.1117/12.542921
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The Strategy Development Tool (SDT), sponsored by AFRL-IFS, supports effects-based planning at multiple levels of war through three core capabilities: plan authoring, center of gravity (COG) modeling and analysis, and target system analysis. This paper describes recent extensions to all three of these capabilities. The extended plan authoring subsystem supports collaborative planning in which a user delegates elaboration of objectives to other registered users. A suite of collaboration tools allows planners to assign planning tasks, submit plan fragments, and review submitted plans, while a collaboration server transparently handles message routing and persistence. The COG modeling subsystem now includes an enhanced adversary modeling tool that provides a lightweight ontology for building temporal causal models relating enemy goals, beliefs, actions, and resources across multiple types of COGs. Users may overlay friendly interventions, analyze their impact on enemy COGs, and automatically incorporate the causal chains stemming from the best interventions into the current plan. Finally, the target system analysis subsystem has been extended with option generation tools that use network-based optimization algorithms to select candidate target set options to achieve specified effects.
引用
收藏
页码:399 / 410
页数:12
相关论文
共 50 条
  • [41] Optimization of GMAW process parameters in austenitic stainless steel cladding using genetic algorithm based computational models
    J. Yoganandh
    T. Kannan
    S. P. Kumaresh Babu
    S. Natarajan
    Experimental Techniques, 2013, 37 : 48 - 58
  • [42] Optimization of GMAW Process Parameters in Austenitic Stainless Steel Cladding Using Genetic Algorithm Based Computational Models
    Yoganandh, J.
    Kannan, T.
    Babu, S. P. Kumaresh
    Natarajan, S.
    EXPERIMENTAL TECHNIQUES, 2013, 37 (05) : 48 - 58
  • [43] Point Set Registration for 3D Range Scans Using Fuzzy Cluster-Based Metric and Efficient Global Optimization
    Liao, Qianfang
    Sun, Da
    Andreasson, Henrik
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 43 (09) : 3229 - 3246
  • [44] Turbulent Flow of Water-Based Optimization Using New Objective Function for Parameter Extraction of Six Photovoltaic Models
    Abdelminaam, Diaa Salama
    Said, Mokhtar
    Houssein, Essam H.
    IEEE ACCESS, 2021, 9 : 35382 - 35398
  • [45] NUMERICAL METHODS FOR THE OPTIMIZATION OF NONLINEAR RESIDUAL-BASED SUBGRID-SCALE MODELS USING THE VARIATIONAL GERMANO IDENTITY
    Maher, Gabriel D.
    Hulshoff, Steven J.
    11TH WORLD CONGRESS ON COMPUTATIONAL MECHANICS; 5TH EUROPEAN CONFERENCE ON COMPUTATIONAL MECHANICS; 6TH EUROPEAN CONFERENCE ON COMPUTATIONAL FLUID DYNAMICS, VOLS V - VI, 2014, : 4676 - 4687
  • [46] Predicting the CPT-based pile set-up parameters using HHO-RF and PSO-RF hybrid models
    Dawei, Yun
    Bing, Zheng
    Bingbing, Gu
    Xibo, Gao
    Razzaghzadeh, Behnaz
    STRUCTURAL ENGINEERING AND MECHANICS, 2023, 86 (05) : 673 - 686
  • [47] Rockfalls trajectography: 3D models predictive capability assessment and coefficients calibration using optimization-based processes
    Raibaut, Fantin
    Ivanez, Olivier
    Douthe, Cyril
    Barry, Benjamin
    ENGINEERING GEOLOGY, 2025, 348
  • [48] CEEMDAN-Based Hybrid Machine Learning Models for Time Series Forecasting Using MARS Algorithm and PSO-Optimization
    Sandip Garai
    Ranjit Kumar Paul
    Md Yeasin
    A. K. Paul
    Neural Processing Letters, 56
  • [49] Experimentally implemented dynamic optogenetic optimization of ATPase expression using knowledge-based and Gaussian-process-supported models
    Espinel-Rios, Sebastian
    Behrendt, Gerrich
    Bauer, Jasmin
    Morabito, Bruno
    Pohlodek, Johannes
    Schuetze, Andrea
    Findeisen, Rolf
    Bettenbrock, Katja
    Klamt, Steffen
    PROCESS BIOCHEMISTRY, 2024, 143 : 174 - 185
  • [50] Reservoir Optimization for Energy Production Using a New Evolutionary Algorithm Based on Multi-Criteria Decision-Making Models
    Ehteram, Mohammad
    Karami, Hojat
    Farzin, Saeed
    WATER RESOURCES MANAGEMENT, 2018, 32 (07) : 2539 - 2560