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Research On Weapon Utilization Oriented Domain Knowledge Representation

Posted on:2014-11-30Degree:MasterType:Thesis
Country:ChinaCandidate:C ZhangFull Text:PDF
GTID:2272330479479468Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
From physical domain to information domain, the main battlefield of the next era is going to be cognitive domain. Cognitive domain is where the knowledge, perception, experience, understanding, faith and values of human beings dwell, and where thinking, judgment, deduction and decision happen. Of a war in cognitive domain, the subjects will be people’s cognitive capabilities and the objectives will be to undermine or even destroy enemies’ cognitive capabilities and fighting will. In order to facilitate the difficult transition of warfare from information domain to cognitive domain during the military revolution, this thesis puts forward a new concept of Knowledge-oriented Warfare(KOW) which bridges the warfare in the two domains. KOW is carried out based on the structure of the current information network systems, focusing on the representation, acquisition, storage, deduction, distribution, sharing, blocking, interruption and attacking of knowledge, and aiming at transfer the information advantage to the knowledge advantage, and finally to the combat advantage.The task of KOW at primary stage is to study how to construct the military knowledge infrastructure. Focusing on Knowledge Representation(KR), a key technology in the infrastructure construction, this thesis exemplifies several theories on KR proposed by scholars, illustrates the KR fundamental principles and methods, and draws a comparison among them. This thesis practices a conceptual modeling of combat domain knowledge by the Mixed Ontology Building Methodology, represents the knowledge quantitatively based on the Battlefield Potential Model, and launches a primary application study on KOW from the technological perspective. The results of this study are displayed by the simulation technology. The main contribution and innovation of this thesis are as follows:a. The combat KR based on the Mixed Ontology Building MethodologyThis thesis studies the combat domain KR in the Mixed Ontology Building Methodology with the military thesaurus as the core ontology. Combining the upper ontology and domain ontology, a standardized KR of various typical military concepts and knowledge is proposed.b. The design and realization of simulation tutoring(ST) system on the weapon utilizationIn order to improve commanders’ understanding of the knowledge of weapon utilization, familiarize them with the equipment performance and adaptability in different conditions and missions, and help them comprehend the rules of weapon utilization in infomationized condition, this thesis sets in the background of ST on weapon systematic utilization, designs a knowledge base from domain ontology, and thus supports the KR, deduction and evaluation of simulation teaching system. It illustrates the functions and framework structure of ST system, extracts the core knowledge from the data, information and experiences provided by domain experts, establishes a knowledge model of weapon utilization in a hybrid ontology approach, designs and realizes a knowledge base and experts system module, and proves to be applicable in the ST system according to the simulation, plan deduction and evaluation of weapon systematic utilization, combining the extensiveness and uniformity of knowledge.c. The quantitative KR based on battlefield potential modelThis thesis puts forward a battlefield potential model and related arithmetic procedure, aiming at better exercising commanding and calculating abilities in KOW and improving the inadequacy of the quantitative computing in current combat domain knowledge. The Battlefield Potential Model is a conceptual model of battlefield combat system domain knowledge. Presented by the element composites in extension theory, this model is able to accurately and quickly display the strength and distribution of potential knowledge on a battlefield, thus help commanders improve their decision and calculation by enhancing their ability of collecting and distinguishing the mass data. In this way, it improves the quantitative computing of the combat domain knowledge. Terrain is an important factor affecting the firepower in a battle. This thesis sets in the background of assisting decision study on the modern ground battle, applying the relative concepts of tactical war games, proposes a battlefield firepower potential arithmetic, and realizes a quantitative representation of the firepower distribution in a whole battlefield combat system. Based on that, the thesis proposes to change the fixed factor into a variable in the warfighting capability index equation, emphasizing the integration of systematic confrontation. Taking the case of “tank company attack” as an example, it demonstrates how to support a commander to make decisions through applying battlefield firepower potential arithmetic and evaluates the effects of variable factor, making an initial attempt to combine the quantitative KR based on battlefield potential model and battle case KR based on ontology.
Keywords/Search Tags:Knowledge Oriented, Warfare, Simulation, Artificial Intelligence, Knowledge Representation, Ontology, Strategy
PDF Full Text Request
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