Research on Entity Modeling Method in Agent-Based CGF Simulation

2011 ◽  
Vol 121-126 ◽  
pp. 2185-2189
Author(s):  
Guo Jun Song ◽  
Xiao Dong Mu ◽  
Rui Hua Chang
Keyword(s):  
Simulation System ◽  
Modeling Method ◽  
Autonomous Agent ◽  
Military Operations ◽  
Scenario Development ◽  
Agent Based ◽  
Development Platform ◽  
Military Commander ◽  
Development Framework ◽  
Combat Simulation

This paper studies the entity modeling method in Agent-based TBM combat simulation system. The architecture of the TBM combat simulation by using HLA/RTI platform has been build. According to the command hierarchy features of military operations, Agent entities are divided into three levels, and a semi-autonomous Agent model has been build. We present a Semantic-based multiple-layered military scenario development framework and implement a Semantic-based Military Scenario Development platform, which can support military commander to semi-automatically generate a military mission plan with MSDL document. Finally gives the flow chart of TBM combat simulation system.

Behavior Modeling Method of CGF in TBM Combat Simulation

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.

Research on Architecture of Combat Agent Based-on Command Mechanism

2012 ◽  
Vol 182-183 ◽  
pp. 1719-1722
Author(s):  
Yong Hong Liu ◽  
Qing Xue ◽  
Bo Wei Cao ◽  
Yang Wei
Keyword(s):  
Simulation System ◽  
Agent Based ◽  
Combat Simulation ◽  
Combat Unit ◽  
Important Means

Combat simulation has become the important means to the training and design of combat simulation. Within the progress of researching and developing combat simulation system, how building up the environment that comes close to the realistic combat field, on the departure that whole describing the activity of combat unit in the combat field, This paper has put forward the concept of CABC (Combat Agent Based Command) according to the Agent of the instruction mechanism, it has combined the autonomy and restriction into fact, can react with the agents in the environment proactively or passively. CABC is autonomous, proactive, social and intelligent.

Research on Roles Modeling of Intelligent Force Based on Ontology

2013 ◽  
Vol 765-767 ◽  
pp. 547-551
Author(s):  
Jing Huan ◽  
Jin Guo Tang
Keyword(s):  
Role Model ◽  
Role Modeling ◽  
Simulation System ◽  
Agent Based ◽  
Model Based ◽  
Combat Simulation ◽  
Formalized Description

The role of agents is the key problems in the agent-based combat simulation system. Based on the analyses of the operation roles' characteristic in the operational organization, the meaning and relation between the role concepts such as ability, duty, position and rules were analyzed. Uses these concepts and relations, propose the role's model of operation military in the battlefield. Defined the concept of the role, relation and axiom, and according with the logical formalized description, establish the role model based on ontology. Then the application of ontology in agents role modeling was detailed discussed in the background of cooperative anti-submarine warfare.

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

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.

scholarly journals Agent-Based Coordinated Control of Power Electronic Converters in a Microgrid

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1031
Author(s):  
Maryam Nasri ◽  
Herbert L. Ginn ◽  
Mehrdad Moallem
Keyword(s):  
Hash Table ◽  
Power Sharing ◽  
Distributed Hash Table ◽  
Power Electronic ◽  
Power Electronic Converters ◽  
Agent Based ◽  
Development Framework ◽  
Study Results ◽  
Set Up ◽  
Microgrid Control

This paper presents the implementation of an agent-based architecture suitable for the coordination of power electronic converters in stand-alone microgrids. To this end, a publish-subscribe agent architecture was utilized as a distributed microgrid control platform. Over a distributed hash table (DHT) searching overlay, the publish-subscribe architecture was identified based on a numerical analysis as a scalable agent-based technology for the distributed real-time coordination of power converters in microgrids. The developed framework was set up to deploy power-sharing distributed optimization algorithms while keeping a deterministic time period of a few tens of milliseconds for a system with tens of converters and when multiple events might happen concurrently. Several agents participate in supervisory control to regulate optimum power-sharing for the converters. To test the design, a notional shipboard system, including several converters, was used as a case study. Results of implementing the agent-based publish-subscribe control system using the Java Agent Development Framework (JADE) are presented.

scholarly journals Agent Based Models of Polymicrobial Biofilms and the Microbiome—A Review

2021 ◽  
Vol 9 (2) ◽  
pp. 417
Author(s):  
Sherli Koshy-Chenthittayil ◽  
Linda Archambault ◽  
Dhananjai Senthilkumar ◽  
Reinhard Laubenbacher ◽  
Pedro Mendes ◽  
...  
Keyword(s):  
Species Interactions ◽  
Computational Models ◽  
Human Microbiome ◽  
Agent Based Modeling ◽  
Autonomous Agent ◽  
Agent Based Models ◽  
Agent Based ◽  
Complex Interactions ◽  
Mucosal Surfaces ◽  
Living Organisms

The human microbiome has been a focus of intense study in recent years. Most of the living organisms comprising the microbiome exist in the form of biofilms on mucosal surfaces lining our digestive, respiratory, and genito-urinary tracts. While health-associated microbiota contribute to digestion, provide essential nutrients, and protect us from pathogens, disturbances due to illness or medical interventions contribute to infections, some that can be fatal. Myriad biological processes influence the make-up of the microbiota, for example: growth, division, death, and production of extracellular polymers (EPS), and metabolites. Inter-species interactions include competition, inhibition, and symbiosis. Computational models are becoming widely used to better understand these interactions. Agent-based modeling is a particularly useful computational approach to implement the various complex interactions in microbial communities when appropriately combined with an experimental approach. In these models, each cell is represented as an autonomous agent with its own set of rules, with different rules for each species. In this review, we will discuss innovations in agent-based modeling of biofilms and the microbiota in the past five years from the biological and mathematical perspectives and discuss how agent-based models can be further utilized to enhance our comprehension of the complex world of polymicrobial biofilms and the microbiome.

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