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UUV multi-layer hybrid type immune agent structure modeling method

A technology of structural modeling and intelligent body, applied in the field of modeling and simulation, it can solve the problems of not being able to truly reflect the intelligent characteristics of Agent, not discussing the internal representation and processing mechanism, etc., and achieve the effect of clear structure and clear logic.

Inactive Publication Date: 2017-09-05
NORTHWESTERN POLYTECHNICAL UNIV
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, most of the current research work emphasizes the use of agent sociality to express the UUV external characteristic layer or the use of MAS to realize simple internal control logic, but it is impossible to truly reflect the intelligent characteristics of the agent, nor to explore the internal representation corresponding to the realization of external characteristics. and deal with mechanism issues

Method used

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  • UUV multi-layer hybrid type immune agent structure modeling method
  • UUV multi-layer hybrid type immune agent structure modeling method
  • UUV multi-layer hybrid type immune agent structure modeling method

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Embodiment Construction

[0030] Embodiments of the present invention are described in detail below, and the embodiments are exemplary and intended to explain the present invention, but should not be construed as limiting the present invention.

[0031]In this embodiment, according to the idea of ​​the research, the technical details of each part are explained in detail:

[0032] 1. Immune agents

[0033] Agent theory and biological immune response system show a high degree of similarity in structure and function. They are composed of many units, and each unit is coupled with each other to maintain its own structural stability. However, the two have different advantages in modeling theory and practice, and their performance comparison analysis is shown in Table 1.

[0034] Table 1 Comparative analysis of Agent and biological immune response system in theory and practice

[0035]

[0036] According to Table 1, it can be seen that the biological immune response system extracts the metaphorical mecha...

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Abstract

The invention provides an UUV multi-layer hybrid type immune agent structure modeling method. The method comprises the following steps: comparing a biological immune response mechanism and an Agent theory, and proposing an immune agent IA model; abstractly dividing the UUV model into a sensing module, a power propulsion module, a communication module, a control strategy module and a knowledge base module through a building block type modular abstracting method; designing a multi-layer hybrid structural UIA including a sensing performing layer, an action planning layer and a learning and memorizing layer; analyzing the function of each layer; designing formal description for an object; designing an UIA action rule library and a state library in detail; comprehensively describing the properties of an UIA model. According to the method, the UIA structure model built through the method packs a plurality of functions and properties, moreover, the structure layers are clear; the logic is clear; the module division is clear; the UIA structure model is clear to the UUV actual system; the modeling requirement of underwater UAV battle on UUV self-control degree and intelligence level can be achieved.

Description

technical field [0001] The invention belongs to the field of modeling and simulation, and specifically relates to a UUV multi-level hybrid immune agent structure modeling method. Background technique [0002] With the rapid development of the utilization and development of marine resources, the Unmanned Underwater Vehicle (UUV) has been greatly developed and widely used in the fields of marine scientific investigation, seabed survey, salvage and lifesaving, and underwater combat. However, UUV operates in an unknown, dynamic, and complex underwater medium environment. Compared with ground and space vehicles, its autonomous planning and control system is more complicated. Especially in order to adapt to formation coordinated operations, intelligent decision-making and Learning ability puts forward higher requirements, especially in terms of intelligent modeling, because the level of intelligence of UUV individuals plays a key role in the modeling process of negotiation communi...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06N5/02G06N5/04
CPCG06F30/20G06N5/022G06N5/046
Inventor 梁洪涛康凤举张建春汪小东
Owner NORTHWESTERN POLYTECHNICAL UNIV
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