Abstract:
The present invention relates to a system entity structure (SES) based block diagram editor to model a structure which supplies a structural modeling function for a high level in a layer structure; an alternative structure kind; a multiple structure, properties, and a connection relation through a block diagram; and an editing method for the same. The SES-based block diagram editor converts an SES of a random tree shape whereby the relation between a predetermined entity and the entities is defined into a block diagram shape. The SES-based block diagram editor according to the present invention includes: a storage unit storing a plurality of models converted into the block diagram by corresponding to the SES; a control unit generating the block diagram entity corresponding to a model when there is a predetermined model corresponding to the SES among the models stored in the storage unit; and generating the model corresponding to the SES by additionally generating a lower entity of the structure related to the generated entity.
Abstract:
A structural scenario generating method using an SES according to an embodiment of the present invention comprises: an analysis step of forming a mode for defining relations among entities from strategy requirements if they are inputted; a scenario structure generating step of forming a hierarchical structure of each entity according to the mode; a step of giving attributes to each entity according to a mission in order to satisfy the strategy requirements; and a step of generating a scenario in accordance with the passage of time from each entity to which the attributes are given. [Reference numerals] (AA) Model preparation step;(BB) Scenario&model creation;(C1) M&S expert;(C10) Model loading;(C11) DM&S storage;(C12,F7) SES base;(C13,I1) Model Base;(C2) Military expert;(C3) Structural spec;(C4) Activity spec;(C5,F3) SURE scenario generator;(C6) SURE model generator;(C7) SES saving;(C8,F5) SES loading;(C9) Model saving;(DD) Scenario organizing step;(EE) Scenario structure selection;(F1,O1) Operator;(F2) Requirement;(F4) Structure selection;(F6) PES saving;(GG) Simulation organizing step;(HH,I2) Model and structure combining;(I3) Engagement module for a submarine with a surface action unit;(I4) Our submarine;(I5) Battle ground environment;(I6) Enemy SAU;(JJ) Simulation step;(KK) Simulation execution;(L1) Simulation model;(L2) SURE simulator;(L3) Execution;(L4) Result collection;(L5) Simulation;(MM) Result analysis step;(NN) MOE/MOP analysis on the simulation results;(O2) MOE/MOP report;(O3) Result data;(O4) SURE result analyzer
Abstract:
본 발명의 일 실시예에 따르는 SES를 이용한 구조적 시나리오 생성방법은, 전술 요구 사항이 입력되면, 입력되는 전술 요구 사항으로부터 개체들간의 관계를 정의하는 모드를 형성하는 분석 단계와, 상기 모드에 따라 각 개체들의 계층 구조를 형성하는 시나리오 구조 생성 단계와, 생성된 시나리오 구조에 따라, 상기 전술 요구 사항을 만족하도록 각 개체들에 임무에 따른 속성을 부여하는 단계 및 속성이 부여된 각 개체들로부터 시간의 경과에 따른 시나리오를 생성하는 단계를 포함한다.
Abstract:
PURPOSE: An automatic emergent tactic generating system using an evolution simulation, a moving object equipped with the same, and an automatic emergent tactic generating method using an evolution simulation are provided to automatically generate emergent tactics for various battle situations by using genetic algorithm. CONSTITUTION: A battle control unit(100) analyzes the generation of a battle scenario and a battle simulation result. A battle environment unit expresses a battle field environment simulation model according to the battle scenario. A platform unit expresses a dynamic model applied to the simulation model and required for a battle. An agent unit(140) establishes tactics based on the simulation model and performs platform operation and a tactic decision according to the tactics. A GUI(Graphic User Interface) inputs the battle scenario and displays the simulation and tactics result.
Abstract:
PURPOSE: A heap based multiple agent system for a theater, mission or battle grade simulation are provided to easily reuse a heap based multiple agent system by consisting of a knowledge based model. CONSTITUTION: An agent(150) includes unit agents which perform the other functions. An upper agent is generated by including a unit agent which is formed in a knowledge base. The agent includes a knowledge base(250) and inference engine for forming new knowledge base according to a predetermined algorithm.