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A capability modeling and matching method for heterogeneous agents based on domain ontology

A matching method and domain ontology technology, which is applied in the field of heterogeneous Agent capability modeling and matching based on domain ontology, to achieve the effect of improving collaboration efficiency

Active Publication Date: 2019-05-03
WUHAN INSTITUTE OF TECHNOLOGY
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a method to identify the Agent's own ability through modeling and matching in view of the defects in the prior art that cannot meet the dynamic identification and selection of Agent actions under the condition of Agent role change and multiple Agent action interactions. and a method of modeling and matching heterogeneous agent capabilities based on domain ontology

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  • A capability modeling and matching method for heterogeneous agents based on domain ontology
  • A capability modeling and matching method for heterogeneous agents based on domain ontology
  • A capability modeling and matching method for heterogeneous agents based on domain ontology

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Embodiment Construction

[0038] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0039] like figure 1 As shown, the heterogeneous Agent capability modeling and matching method based on domain ontology includes the following steps:

[0040] S1. Obtain the classes in the built meta-model and the relationship between classes from the existing CDD (Capability Driven Development) meta-model, and establish the capability meta-model;

[0041] S11. Extract relevant concepts from the CDD meta-model as partial classes in the capability meta-model;

[0042] S12. Adding domain-related new classes on the basis of metaclasses;

[0043]S13, the metaclass and the new class together form the...

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Abstract

The invention discloses a domain ontology based heterogeneous Agent capability modeling and matching method. The method includes the following steps of S1 establishing a capability element model according to the relation between classes in a capability element model to be established obtained from a CDD element model; S2 adding classes for the capability element model, adding instances for the classes, adding the instances to the attributes, and determining the target attributes based on the relation between the classes in the capability element model to obtain an energy model in the heterogeneous Agent collaborative domain; S3 obtaining the capabilities and target instances in the capability model of the heterogeneous agent collaborative domain, and matching the capabilities and target instances based on target-capability matching method to determine the matching degree of a capability and a target; and S4 identifying the self-ability and collaborative capability of an Agent based on the matching degree of the capability and the target. According to the method, various capabilities of the Agent can be described in detail and can be fully used by a system, so that the collaborative efficiency of the Agent capabilities can be improved, and the application to the application platforms such as multi-agent, multi-robot and multi-AGV capability collaboration can be realized.

Description

technical field [0001] The invention relates to the technical field of heterogeneous agents in a collaborative self-adaptive system (Collaborative Self-adaptive System, CSS), in particular to a method for modeling and matching heterogeneous agent capabilities based on domain ontology. Background technique [0002] An adaptive system can perceive changes in the environment, and adjust its own structure and behavior to adapt to changes in the environment. It has the characteristics of environmental openness, change sensitivity, and system dynamics. A multi-agent adaptive system is a system formed by the interaction of multiple agents (behavioral entities that can execute actions autonomously and flexibly to meet the design goals in a certain environment). How multi-Agents cooperate to execute actions to make the system more effective and self-adaptive is the focus of attention at present. Therefore, the research on multi-agent adaptive system and its cooperation method has ar...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N20/00G06N3/00
CPCG06N3/006G06N20/00
Inventor 李爽刘玮吴坤
Owner WUHAN INSTITUTE OF TECHNOLOGY