The Initial Construction of a Information Systems Model Response to the Environment Change


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This paper studies on the modeling of the changes in the external environment impact on information systems based on complexity theory and multi-Agent theory.In order to establish the model system, This paper gives the Multi-Agent System Model to response the changes of the external environment and studies the unit Agent and interface Agent, which can be used to facilitate follow-up simulation. The model and its simulation system of MIS based on complexity thinking can express the situation of the complex MIS clearly and exactly, reveal its inherent laws, and contribute to the understanding of static and dynamic characteristics. The paper not only studied in informatization theory, but also done some exploration in software and computer application technology, enriched the Multi-agent theory in the area of manufacturing and informatization. Therefore, the model and its simulation system proposed by author is significant for both theory and practice.



Key Engineering Materials (Volumes 467-469)

Edited by:

Dehuai Zeng




H. B. Shang et al., "The Initial Construction of a Information Systems Model Response to the Environment Change", Key Engineering Materials, Vols. 467-469, pp. 1231-1235, 2011

Online since:

February 2011




[1] Gu Jifa, Tang Xijin. Meta-synthesis approach to complex system modeling [J]. European Journal of Operational Research, 2005, 166(3): 597-614.


[2] Ryoke M, Nakamori Y. Agent-based approach to complex systems modeling [J]. European Journal of Operational Research, 2005, 166: 717-725.


[3] McDonald J.T., Yasinsac. Application security models for mobile agent systems [J]. Electronic Notes in Theoretical Computer Science, 2006, 157(3): 43-59.


[4] G. Henkelman, G. Johannesson and H. Jónsson, in: Theoretical Methods in Condencsed Phase Chemistry, edited by S.D. Schwartz, volume 5 of Progress in Theoretical Chemistry and Physics, chapter, 10, Kluwer Academic Publishers (2000).

[5] R.J. Ong, J.T. Dawley and P.G. Clem: submitted to Journal of Materials Research (2003).

[6] P.G. Clem, M. Rodriguez, J.A. Voigt and C.S. Ashley, U.S. Patent 6, 231, 666. (2001).

[7] Priem, RL , Love , LG Shaffer , MA. Executives 'Perceptions of Uncertainty Sources : a numerical taxonomy and underlying dimensions[J ] . Journal of Management , 2002 , 28 (6) : 725~746.


[8] Park S, Sugumaran V. Designing multi-agent systems: a framework and application [J]. Expert Systems with Applications, 2005, 28(2): 259-271.


[9] Jiang, Y C, Xia Z Y, Zhong Y P, et al. An adaptive adjusting mechanism for agent distributed blackboard architecture [J]. Microprocessors and Microsystems, 2005, 29(1): 9-20.