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Engineering >> 2023, Volume 27, Issue 8 doi: 10.1016/j.eng.2022.04.018

Foundations and Applications of Information Systems Dynamics

a Supreme People's Court Information Center, Beijing 100745, China
b School of Information Management for Law, China University of Political Science and Law, Beijing 102249, China
c School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
d School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, China

Received: 2022-01-20 Revised: 2022-04-09 Accepted: 2022-04-11 Available online: 2022-07-11

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Abstract

Although numerous advances have been made in information technology in the past decades, there is still a lack of progress in information systems dynamics (ISD), owing to the lack of a mathematical foundation needed to describe information and the lack of an analytical framework to evaluate information systems. The value of ISD lies in its ability to guide the design, development, application, and evaluation of large-scale information system-of-systems (SoSs), just as mechanical dynamics theories guide mechanical systems engineering. This paper reports on a breakthrough in these fundamental challenges by proposing a framework for information space, improving a mathematical theory for information measurement, and proposing a dynamic configuration model for information systems. In this way, it establishes a basic theoretical framework for ISD. The proposed theoretical methodologies have been successfully applied and verified in the Smart Court SoSs Engineering Project of China and have achieved significant improvements in the quality and efficiency of Chinese court informatization. The proposed ISD provides an innovative paradigm for the analysis, design, development, and evaluation of large-scale complex information systems, such as electronic government and smart cities.

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References

[ 1 ] Gleick J. The information: a history, a theory, a flood. New York City: Vintage; 2011. link1

[ 2 ] Guo L. Estimation, control, and games of dynamical systems with uncertainty. Sci Sin Inf 2020;50(9):1327‒44. Chinese. link1

[ 3 ] Atmanspacher H, Scheingraber H. Information dynamics. New York City: Springer Science & Business Media; 1991. link1

[ 4 ] Ingarden RS, Kossakowski A, Ohya M. Information dynamics and open system: classical and quantum approach. Dordrecht: Springer Science & Business Media; 1997. link1

[ 5 ] Deco G, Schürmann B. Information dynamics: foundations and applications. New York City: Springer; 2001. link1

[ 6 ] Yan B. [Introduction to information dynamics]. Beijing: Beijing University of Posts and Telecommunications Press; 2014. Chinese.

[ 7 ] Flory A, Kouloumdjian J. A model for the description of the information system dynamics. In: Proceedings of 2nd Conference of the European Cooperation in Informatics: Information Systems Methodology; 1978 Oct 10‒12; Venice, Italy. Berlin: Springer-Verlag; 1978. p. 307‒18. link1

[ 8 ] Bounfour A, Batra S. Information system dynamics: an international research programme. Paradigm 2009;13(2):64‒8. link1

[ 9 ] Yan XS. [Information science: concept, system and prospect]. Beijing: Science Press; 2016. Chinese. link1

[10] Von Bertalanffy L. The history and status of general systems theory. Acad Manag J 1972;15(4):407‒26. link1

[11] Shannon CE. A mathematical theory of communication. Bell Syst Tech J 1948;27(3):379‒423. link1

[12] Yan XS. Information science: its past, present and future. Information 2011;2(3):510‒27. link1

[13] Zaliwski AS. Information—is it subjective or objective? tripleC 2011;9(1):77‒92. link1

[14] Rao M, Chen Y, Vemuri BC, Wang F. Cumulative residual entropy: a new measure of information. IEEE Trans Inf Theory 2004;50(6):1220‒8. link1

[15] Madiman M, Tetali P. Information inequalities for joint distributions, with interpretations and applications. IEEE Trans Inf Theory 2010;56(6):2699‒713. link1

[16] Chen X, Dai W. Maximum entropy principle for uncertain variables. Int J Fuzzy Syst 2011;13(3):232‒6.

[17] Von Bertalanffy L. General system theory: foundations, development, applications. New York City: George Braziller; 1968.

[18] Efron B. Defining the curvature of a statistical problem (with applications to second order efficiency). Ann Stat 1975;3(6):1189‒242. link1

[19] Amari S, Nagaoka H. Methods of information geometry. New York City: Oxford University Press; 2000.

[20] Vigo R. Representational information: a new general notion and measure of information. Inf Sci 2011;181(21):4847‒59. link1

[21] Rao CR. Information and accuracy attainable in the estimation of statistical parameters. Bull Calcutta Math Soc 1945;37(3):81‒91.

[22] Meriam HL. Engineering mechanics: dynamics. 8th ed. New York City: Wiley; 2015.

[23] Wright MR, Wright PG. Inter-relations of activation, deactivation and destruction steps in chemical kinetics. Nature 1966;210(5041):1110‒3. link1

[24] Shone R. An introduction to economic dynamics. Cambridge: Cambridge University Press; 2001. link1

[25] Xu JF, Tang J, Ma XF, Xu B, Shen YL, Qiao YJ. Research on metrics and models for objective information. Sci Sin Inf 2015;45(3):336‒53. Chinese.

[26] Xu J, Wang S, Liu Z, Wang Y. Objective information theory exemplified in air traffic control system. Chin J Electron 2021;30(4):743‒51. link1

[27] Leiner BM, Cerf VG, Clark DD, Kahn RE, Kleinrock L, Lynch DC, et al. A brief history of the internet. ACM Sigcomm Comput Commun Rev 2009;39(5):22‒31. link1

[28] Taleb T, Samdanis K, Mada B, Flinck H, Dutta S, Sabella D. On multi-access edge computing: a survey of the emerging 5G network edge cloud architecture and orchestration. IEEE Commun Surv Tutor 2017;19(3):1657‒81. link1

[29] Madakam S, Ramaswamy R, Tripathi S. Internet of Things (IoT): a literature review. J Comput Commun 2015;3(5):164‒73.

[30] Reshef DN, Reshef YA, Finucane HK, Grossman SR, McVean G, Turnbaugh PJ, et al. Detecting novel associations in large data sets. Science 2011;334(6062):1518‒24. link1

[31] Liu C, Li K, Li K. A game approach to multi-servers load balancing with loaddependent server availability consideration. IEEE Trans Cloud Comput 2021;9 (1):1‒13. link1

[32] Hu J, Li K, Liu C, Li K. A game-based price bidding algorithm for multi-attribute cloud resource provision. IEEE Trans Serv Comput 2021;14(4):1111‒22. link1

[33] Xu Y, Li K, Hu J, Li K. A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues. Inf Sci 2014;270:255‒87. link1

[34] Chen Y, Li K, Yang W, Xiao G, Xie X, Li T. Performance‒aware model for sparse matrix‒matrix multiplication on the sunway TaihuLight supercomputer. IEEE Trans Parallel Distrib Syst 2019;30(4):923‒38. link1

[35] LeCun Y, Bengio Y, Hinton G. Deep learning. Nature 2015;521(7553):436‒44. link1

[36] Huang H, Kong W, Zhou S, Zheng Z, Guo S. A survey of state-of-the-art on blockchains: theories, modelings, and tools. ACM Comput Surv 2022;54(2):1‒42. link1

[37] Lee LH, Braud T, Zhou P, Wang L, Xu D, Lin Z, et al. All one needs to know about metaverse: a complete survey on technological singularity, virtual ecosystem, and research agenda. 2021. arXiv:2110.05352.

[38] Wiener N. Cybernetics or control and communication in the animal and the machine. 2nd ed. Cambridge: The MIT Press; 1961. link1

[39] Popper KR. Objective knowledge: an evolutionary approach. New York City: Oxford University Press; 1972.

[40] Skolnik MI. Radar handbook. 2nd ed. New York City: McGraw-Hill; 1990.

[41] Rayleigh L. LVI. Investigations in optics, with special reference to the spectroscope. Philos Mag 1879;8(51):477‒86. link1

[42] Lienig J, Bruemmer H. Reliability analysis. In: Lienig J, Bruemmer H, editors. Fundamentals of electronic systems design. Cham: Springer International Publishing; 2017. p. 45‒73. link1

[43] Nyquist H. Certain topics in telegraph transmission theory. Proc IEEE 1928;90(2):280‒305.

[44] Shapiro C, Varian HR. Information rules: a strategic guide to the network economy. Boston: Harvard Business School Press; 1998.

[45] Kalman RE. A new approach to linear filtering and prediction problems. J Basic Eng 1960;82(1):35‒45. link1

[46] Flores I, Madpis G. Average binary search length for dense ordered lists. Commun ACM 1971;14(9):602‒3. link1

[47] Susskind R. China as the next leader in legal technology? [Internet]. Bristol: Society for Computers and Law; 2017 Aug 12 [cited 2022 Apr 2]. Available from: https://www.scl.org/articles/9979-china-as-the-next-leader-in-legaltechnology. link1

[48] Xu JF, Sun F, Chen Q. [Introduction to smart court system engineering]. Beijing: People’s Court Press; 2021. Chinese. link1

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