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Purpose

This paper aims to study the node modeling, multi-agent architecture and addressing method for the material conscious information network (MCIN), which is a large-scaled, open-styled, self-organized and ecological intelligent network of supply–demand relationships.

Design/methodology/approach

This study models the MCIN by node model definition, multi-agent architecture design and addressing method presentation.

Findings

The prototype of novel E-commerce platform based on the MCIN shows the effectiveness and soundness of the MCIN modeling. By comparing to current internet, the authors also find that the MCIN has the advantages of socialization, information integration, collective intelligence, traceability, high robustness, unification of producing and consuming, high scalability and decentralization.

Research limitations/implications

Leveraging the dimensions of structure, character, knowledge and experience, a modeling approach of the basic information can fit all kinds of the MCIN nodes. With the double chain structure for both basic and supply–demand information, the MCIN nodes can be modeled comprehensively. The anima-desire-intention-based multi-agent architecture makes the federated agents of the MCIN nodes self-organized and intelligent. The MCIN nodes can be efficiently addressed by the supply–demand-oriented method. However, the implementation of the MCIN is still in process.

Practical implications

This paper lays the theoretical foundation for the future networked system of supply–demand relationship and the novel E-commerce platform.

Originality/value

The authors believe that the MCIN, first proposed in this paper, is a transformational innovation which facilitates the infrastructure of the future networked system of supply–demand relationship.


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A cyber-anima-based model of material conscious information network

Show Author's information Jianping Shen1( )Yadong Huang1Yueting Chai2
Department of Automation, Tsinghua University, Beijing, China
National Engineering Laboratory for E-commerce Technology, Tsinghua University, Beijing, China

Abstract

Purpose

This paper aims to study the node modeling, multi-agent architecture and addressing method for the material conscious information network (MCIN), which is a large-scaled, open-styled, self-organized and ecological intelligent network of supply–demand relationships.

Design/methodology/approach

This study models the MCIN by node model definition, multi-agent architecture design and addressing method presentation.

Findings

The prototype of novel E-commerce platform based on the MCIN shows the effectiveness and soundness of the MCIN modeling. By comparing to current internet, the authors also find that the MCIN has the advantages of socialization, information integration, collective intelligence, traceability, high robustness, unification of producing and consuming, high scalability and decentralization.

Research limitations/implications

Leveraging the dimensions of structure, character, knowledge and experience, a modeling approach of the basic information can fit all kinds of the MCIN nodes. With the double chain structure for both basic and supply–demand information, the MCIN nodes can be modeled comprehensively. The anima-desire-intention-based multi-agent architecture makes the federated agents of the MCIN nodes self-organized and intelligent. The MCIN nodes can be efficiently addressed by the supply–demand-oriented method. However, the implementation of the MCIN is still in process.

Practical implications

This paper lays the theoretical foundation for the future networked system of supply–demand relationship and the novel E-commerce platform.

Originality/value

The authors believe that the MCIN, first proposed in this paper, is a transformational innovation which facilitates the infrastructure of the future networked system of supply–demand relationship.

Keywords: E-commerce, Cyber physics social system, Multi-agent, Supply-demand relationship

References(5)

Milgram, S. (1967), “The small world problem”, Psychology Today, Vol. 2, pp. 60-67.

Nakamoto, S. (2008), Bitcoin: A Peer-to-Peer Electronic Cash System, available at: bitcoin.org (accessed 4 January 2017).
Shen, J. (2015), A Study on Cyber-Anima Model and Its Application in Intelligent Recommendation: [D], Fudan Universtiy.

Robinson, L. (2007), “The cyberself: the self-ing project goes online, symbolic interaction in the digital age”, New Media & Society, Vol. 9, pp. 93-110.

Wen, J., Ming, K., Wang, F., Huang, B. and Ma, J. (2009), “Cyber-I: vision of the individual's counterpart on cyberspace”, DASC, IEEE Computer Society, pp. 295-302.https://doi.org/10.1109/DASC.2009.127
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Publication history
Copyright
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Publication history

Received: 03 December 2016
Revised: 13 January 2017
Accepted: 19 January 2017
Published: 06 March 2017
Issue date: March 2017

Copyright

© The author(s)

Rights and permissions

Jianping Shen, Yadong Huang and Yueting Chai. Published in International Journal of Crowd Science. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode

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