Research on CGF Behavior Modeling Based on Rule

CGF behavior modeling is designed to reflect the characteristics of human behavior better, and improve the credibility and scientific of the combat simulation system. It introduces the CGF and its behavior modeling concept, compares several CGF behavior modeling methods which are main current, Then, it analysis the general structure of the CGF behavior model, and constructs the CGF behavior model based-on rules [. This paper focus on the research of decision-making reasoning method, that it uses the production rules describe method for the decision-making knowledge, whose process contains situation, action, decision reasoning. At last, it researches the decision reasoning process.

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Behavior Modeling Method of CGF in TBM Combat Simulation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.135-136.326 ◽

2011 ◽

Vol 135-136 ◽

pp. 326-330

Author(s):

Guo Jun Song ◽

Xiao Dong Mu ◽

Rui Hua Chang ◽

Hai Jing Zhang ◽

Qing Hui Zhang

Keyword(s):

Simulation System ◽

Modeling Method ◽

Behavior Modeling ◽

Agent Based ◽

Combat Simulation ◽

The Status ◽

Rival Model ◽

Attack And Defense ◽

Decision Making Behavior ◽

The Relationship

This paper studies the CGF behavior modeling method in Agent-based TBM combat simulation system, which focuses on the decision-making behavior and combat behavior of CGF Agent. Agent entities are divided into three levels, and a three-level organizational structure of Agent has been established. To reflect the relationship between attack and defense, we establish a BDI model based on rival model to track the status of rival Agent and do real-time response. Finally gives the realization method of TBM combat simulation system.

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The Study of Military Conceptual Model Based on Tactical Decision-Making Simulation

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.605-607.2333 ◽

2012 ◽

Vol 605-607 ◽

pp. 2333-2336

Author(s):

Jin Guang Liu ◽

Zhi Fei Wu

Keyword(s):

Decision Making ◽

Conceptual Model ◽

Simulation System ◽

Modeling Method ◽

Model Based ◽

Combat Simulation ◽

Tactical Decision ◽

Complex Construction ◽

The Common ◽

The Military

The military conceptual model (MCM) provides an unambiguous and credible reference for the development of the combat simulation system. According to the characteristics and regularities of the tactical decision-making (TDM) process, this process is divided into five abstract stages, which analyze the modeling method of the simulated military conceptual model in detail. This method reduces the common attributes and action of the TDM entity to that of a super one, which avoids the appearance of a multi-inheritable complex construction. Then the super TDM entity is analyzed so as to obtain a description of its properties and action. By summing up the functions of the TDM simulation entity, it can point out that this modeling method has very strong feasibility.

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Determinant Factors in Personal Decision-Making to Adopt COVID-19 Prevention Measures in Chile

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18158131 ◽

2021 ◽

Vol 18 (15) ◽

pp. 8131

Author(s):

Karina Fernanda Gonzalez ◽

Maria Teresa Bull ◽

Sebastian Muñoz-Herrera ◽

Luis Felipe Robledo

Keyword(s):

Decision Making ◽

Decision Model ◽

Protective Action ◽

Prevention Measures ◽

Protective Measures ◽

Protective Action Decision Model ◽

Exploratory Survey ◽

Relevant Variables ◽

Personal Decision ◽

Action Decision

The pandemic has challenged countries to develop stringent measures to reduce infections and keep the population healthy. However, the greatest challenge is understanding the process of adopting self-care measures by individuals in different countries. In this research, we sought to understand the behavior of individuals who take self-protective action. We selected the risk homeostasis approach to identify relevant variables associated with the risk of contagion and the Protective Action Decision Model to understand protective decision-making in the pandemic. Subsequently, we conducted an exploratory survey to identify whether the same factors, as indicated in the literature, impact Chile’s adoption of prevention measures. The variables gender, age, and trust in authority behave similarly to those found in the literature. However, socioeconomic level, education, and media do not impact the protection behaviors adopted to avoid contagion. Furthermore, the application of the Protective Action Decision Model is adequate to understand the protective measures in the case of a pandemic. Finally, women have a higher risk perception and adopt more protective measures, and in contrast, young people between 18 and 30 years of age are the least concerned about COVID-19 infection.

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A Multi-MOORA decision making method based on muirhead mean operators and complex spherical fuzzy uncertain linguistic setting

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-211455 ◽

2021 ◽

pp. 1-26

Author(s):

Fen Wang ◽

Zeeshan Ali ◽

Tahir Mahmood ◽

Shouzhen Zeng

Keyword(s):

Decision Making ◽

General Structure ◽

Aggregation Operators ◽

Ratio Analysis ◽

Multi Objective Optimization ◽

Linguistic Terms ◽

Modifiable Factors ◽

Multi Attribute Decision Making ◽

Multiplicative Form ◽

Actual Life

The Muirhead mean (MM) operators offer a flexible arrangement with its modifiable factors because of Muirhead’s general structure. On the other hand, MM aggregation operators perform a significant role in conveying the magnitude level of options and characteristics. In this manuscript, the complex spherical fuzzy uncertain linguistic set (CSFULS), covering the grade of truth, abstinence, falsity, and their uncertain linguistic terms is proposed to accomplish with awkward and intricate data in actual life dilemmas. Furthermore, by using the MM aggregation operators with the CSFULS, the complex spherical fuzzy uncertain linguistic MM (CSFULMM), complex spherical fuzzy uncertain linguistic weighted MM (CSFULWMM), complex spherical fuzzy uncertain linguistic dual MM (CSFULDMM), complex spherical fuzzy uncertain linguistic dual weighted MM (CSFULDWMM) operators, and their important results are also elaborated with the help of some remarkable cases. Additionally, multi-attribute decision-making (MADM) based on the Multi-MOORA (Multi-Objective Optimization Based on a Ratio Analysis plus full multiplicative form), and proposed operators are developed. To determine the rationality and reliability of the elaborated approach, some numerical examples are illustrated. Finally, the supremacy and comparative analysis of the elaborated approaches with the help of graphical expressions are also developed.

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Critical Factors in the Decision-making Process of Chinese Mass Taekwondo Consumers: Application of Goal-oriented Behavior Model

Asia Pacific Journal of Applied Sport Sciences ◽

10.46695/ascs.2.1.1 ◽

2021 ◽

Vol 2 (1) ◽

pp. 1-24

Author(s):

Shuai Zhang ◽

Xingyu Xie ◽

Shanqing Wan ◽

Xiaodai Jia

Keyword(s):

Decision Making ◽

Decision Making Process ◽

Behavior Model ◽

Critical Factors ◽

Goal Oriented Behavior

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A Commanding Model of Counterwork Simulation System Based on Value Driving Decision-Making

AsiaSim 2012 - Communications in Computer and Information Science ◽

10.1007/978-3-642-34384-1_3 ◽

2012 ◽

pp. 13-19

Author(s):

Weifeng Li ◽

Shuli Wang ◽

Xinjun Zhao ◽

Jiying Wang

Keyword(s):

Decision Making ◽

Simulation System

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A System for Data Processing on Supply-Chain Distributed Simulation Platform Based on Agent

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.26-28.397 ◽

2010 ◽

Vol 26-28 ◽

pp. 397-400 ◽

Cited By ~ 1

Author(s):

Zhi Xun Sun ◽

Jie Lin

Keyword(s):

Decision Making ◽

Supply Chain ◽

Data Storage ◽

Distributed Simulation ◽

Simulation System ◽

Simulation Platform ◽

Simulation Performance ◽

Dynamic Display ◽

Time Simulation ◽

Supply Chain Simulation

To deal with the result data of the supply-chain simulation, such as data storage, analysis and display, a data system based on agent has been developed. Utilize agent’s intelligence and interaction; realize the dynamic display of the real-time simulation status and statistics analysis. The simulation performance can then be viewed and analyzed to provide the decision making. The system, as an indispensible part of the simulation platform, supports the simulation system effectively.

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SD Builder®: A production rules-based tool for on-line simulation, decision making and discrete process control

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2007.05.005 ◽

2008 ◽

Vol 21 (3) ◽

pp. 406-418 ◽

Cited By ~ 3

Author(s):

Serguei Iassinovski ◽

Abdelhakim Artiba ◽

Christophe Fagnart

Keyword(s):

Decision Making ◽

Process Control ◽

Production Rules ◽

Discrete Process ◽

On Line

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The Importance of Validating Sleep Behavior Models for Fatigue Management Software in Military Aviation

Military Medicine ◽

10.1093/milmed/usaa210 ◽

2020 ◽

Vol 185 (11-12) ◽

pp. e1986-e1991 ◽

Cited By ~ 2

Author(s):

Michel A Paul ◽

Steven R Hursh ◽

Ryan J Love

Keyword(s):

Target Population ◽

Behavior Modeling ◽

Behavior Model ◽

Canadian Forces ◽

Sleep Behavior ◽

Specific Target ◽

Commute Time ◽

Harmonization Process ◽

Scheduling Tool ◽

Behavior Models

Abstract Introduction The propensity for air mobility missions to exhaust aircrews is strongly dependent on operational tempo. Most flying is performed during periods of low to moderate operational tempo, but a major flight safety risk can emerge when operational tempo becomes very high. This risk can be managed by software tools that contain fatigue and sleep behavior modeling, but optimization/validation of the model using the specific target population is required to ensure that the modeled predictions are accurate. The goal of the study was to validate the sleep behavior model settings for a fatigue modeling tool that is used within the RCAF, the Fatigue Avoidance Scheduling Tool, taking into account the organizational requirements for pre- and postflight routines, especially within the Air Mobility force. Materials and methods Four Royal Canadian Air Force Air Mobility Squadrons from Canadian Forces Base Trenton took part in this trial over a 3-month period (May 3 to August 21, 2016). All 22 missions of the trial included long-range transmeridian flights. All members of the participating aircrew wore wrist actigraphs to measure their sleep. We compared cognitive effectiveness modeling scenarios (preharmonization) based on the SAFTE-FAST sleep behavior model with its default settings against cognitive effectiveness modeling scenarios based on actigraphically-measured sleep. The measured sleep was then harmonized against the predicted sleep to optimize accuracy of the sleep behavior algorithm. During the harmonization process, the “Autosleep” prediction settings were optimized to match the actigraphically-measured sleep timings. Results Prior to the harmonization effort, the sleep behavior algorithm overpredicted the sleep obtained by CAF Aircrews. The most significant adjustment to the sleep behavior model was the increase in commute time to account for briefing, flight planning, debriefing, and postflight activities. Following harmonization, the sleep behavior model provided nearly perfect estimates of overall fatigue risk against missions modeled with actigraphically-measured sleep. For both measured and predicted sleep, most of the time in flight was in a low-fatigue, high-cognitive effectiveness state (90%–95% cognitive effectiveness). Conclusions Current Fatigue Risk Management Systems require accurate fatigue and sleep behavior modeling, which can only be achieved by studying specific target populations to determine their culture of work/rest routines, and optimizing sleep behavior model settings accordingly.

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