A digital resource integration method based on agent model.
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| Title: | A digital resource integration method based on agent model. |
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| Authors: | WANG, Binfeng1 wangbinfeng@nint.ac.cn, CAI, Libing1 cailibing@nint.ac.cn, KONG, Longxing1 konglongxing@nint.ac.cn, HUANG, Shaohua1 huangshaohua@nint.ac.cn, HAN, Wenbin1 hanwenbin@nint.ac.cn |
| Source: | Computer Engineering & Science / Jisuanji Gongcheng yu Kexue. Jul2025, Vol. 47 Issue 7, p1295-1302. 8p. |
| Subjects: | Intelligent personal assistants, Data conversion, Data transmission systems, Simulation methods & models, Heterogeneity |
| Abstract: | Digital technologies continue to empower various industries and have achieved remarkable results. The development and application of digital resources are key to digital empowerment. However, diverse forms of digital resources required to build simulation systems for specific objectives vary significantly, leading to increased complexity in system development and reduced operational efficiency. This paper begins by analyzing the fundamental concepts of digital resources and summarizes their associated application requirements. Subsequently, it proposes a digital resource integration method based on agent model, which demonstrates significant advantages in mitigating the heterogeneity among different digital models within a system. The method is elaborated from two perspectives: 1) An agent model-based integration framework which supports the integration of both agent model-based digital resources and those not employing agent models. 2) The design of agent models for digital resources which ensures data transmission requirements between agent models (both externally and internally) and facilitates data conversion across different external interfaces. Finally, the effectiveness and flexibility of agent model-based digital resources integration are validated through a real-time satellite trajectory visualization case study. [ABSTRACT FROM AUTHOR] |
| Copyright of Computer Engineering & Science / Jisuanji Gongcheng yu Kexue is the property of Computer Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 187879539 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A digital resource integration method based on agent model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22WANG%2C+Binfeng%22">WANG, Binfeng</searchLink><relatesTo>1</relatesTo><i> wangbinfeng@nint.ac.cn</i><br /><searchLink fieldCode="AR" term="%22CAI%2C+Libing%22">CAI, Libing</searchLink><relatesTo>1</relatesTo><i> cailibing@nint.ac.cn</i><br /><searchLink fieldCode="AR" term="%22KONG%2C+Longxing%22">KONG, Longxing</searchLink><relatesTo>1</relatesTo><i> konglongxing@nint.ac.cn</i><br /><searchLink fieldCode="AR" term="%22HUANG%2C+Shaohua%22">HUANG, Shaohua</searchLink><relatesTo>1</relatesTo><i> huangshaohua@nint.ac.cn</i><br /><searchLink fieldCode="AR" term="%22HAN%2C+Wenbin%22">HAN, Wenbin</searchLink><relatesTo>1</relatesTo><i> hanwenbin@nint.ac.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computer+Engineering+%26+Science+%2F+Jisuanji+Gongcheng+yu+Kexue%22">Computer Engineering & Science / Jisuanji Gongcheng yu Kexue</searchLink>. Jul2025, Vol. 47 Issue 7, p1295-1302. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Intelligent+personal+assistants%22">Intelligent personal assistants</searchLink><br /><searchLink fieldCode="DE" term="%22Data+conversion%22">Data conversion</searchLink><br /><searchLink fieldCode="DE" term="%22Data+transmission+systems%22">Data transmission systems</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Heterogeneity%22">Heterogeneity</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Digital technologies continue to empower various industries and have achieved remarkable results. The development and application of digital resources are key to digital empowerment. However, diverse forms of digital resources required to build simulation systems for specific objectives vary significantly, leading to increased complexity in system development and reduced operational efficiency. This paper begins by analyzing the fundamental concepts of digital resources and summarizes their associated application requirements. Subsequently, it proposes a digital resource integration method based on agent model, which demonstrates significant advantages in mitigating the heterogeneity among different digital models within a system. The method is elaborated from two perspectives: 1) An agent model-based integration framework which supports the integration of both agent model-based digital resources and those not employing agent models. 2) The design of agent models for digital resources which ensures data transmission requirements between agent models (both externally and internally) and facilitates data conversion across different external interfaces. Finally, the effectiveness and flexibility of agent model-based digital resources integration are validated through a real-time satellite trajectory visualization case study. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computer Engineering & Science / Jisuanji Gongcheng yu Kexue is the property of Computer Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3969/j.issn.1007-130X.2025.07.015 Languages: – Code: chi Text: Chinese PhysicalDescription: Pagination: PageCount: 8 StartPage: 1295 Subjects: – SubjectFull: Intelligent personal assistants Type: general – SubjectFull: Data conversion Type: general – SubjectFull: Data transmission systems Type: general – SubjectFull: Simulation methods & models Type: general – SubjectFull: Heterogeneity Type: general Titles: – TitleFull: A digital resource integration method based on agent model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: WANG, Binfeng – PersonEntity: Name: NameFull: CAI, Libing – PersonEntity: Name: NameFull: KONG, Longxing – PersonEntity: Name: NameFull: HUANG, Shaohua – PersonEntity: Name: NameFull: HAN, Wenbin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 1007130X Numbering: – Type: volume Value: 47 – Type: issue Value: 7 Titles: – TitleFull: Computer Engineering & Science / Jisuanji Gongcheng yu Kexue Type: main |
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