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Blockchain Technology: The Autonomy and Self-Organisation of Cyber-Physical Systems

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Business Transformation through Blockchain

Abstract

Interconnecting cyber-physical systems in networks leads to the creation of cyber-physical system-of-systems. In a cyber-physical system-of-systems (CPSoS), systems communicate by exchanging and sharing data and information, which this chapter also refers to as interoperability of information. To ensure reliable and secure interoperability of information between distributed cyber-physical systems, using blockchain technology or distributed ledging technology for distributed entities is an interesting option. Such a blockchain must, at a minimum, be fault tolerant and enable the entities involved to reach consensus on the information transactions that are to be performed. Once consensus about transactions between cyber-physicals is reached, it must be possible for these to record consistently the used data in a distributed ledger that provides a permanent shared overview of completed information transactions. The development of the new technology we call blockchain creates a new and as yet unfathomable reality of interconnected autonomous and self-organising cyber-physical systems that have the ability to make decisions about or for us as human beings.

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References

  • Arthur, B. W. (2011). The nature of technology. What it is and how it evolves. New York: Free Press. ISBN 9781416544067.

    Google Scholar 

  • Ashby, W. R. (1952). Design for a brain. New York: John Wiley & Sons.

    Google Scholar 

  • Ashby, W. R. (1962). Principles of the self-organizing system. In H. von Foerster & G. W. Zopf (Eds.), Transactions of the University of Illinois symposium (pp. 255–278). London: Pergamon Press.

    Google Scholar 

  • Baheti R., & Gill H. (2011). Cyber-physical systems. From: The impact of control technology. T. Samad and Annaswamy (Eds.). Available at www.ieeecss.org

  • De Wolf, T., & Holvoet, T. (2005). Emergence versus self-organisation: Different concepts but promising when combined. Engineering Self-Organising Systems Lecture Notes in Computer Science, 3464, 1–15.

    Article  Google Scholar 

  • Dressler, F. (2006). Technical Report 02/06. University of Erlangen, Department of Computer Science.

    Google Scholar 

  • Fromm, J. (2005). Types and forms of emergence. eprint arXiv:nlin/0506028. Publication date 06/2005.

    Google Scholar 

  • Gershenson, C. (2007). Design and control of self-organizing systems. Mexico City: CopIt Arxives.

    Google Scholar 

  • Gershenson, C., & Heylighen, F. (2004). How can we think the complex. Managing Organizational Complexity: Philosophy, Theory and Application, 3, 47–62.

    Google Scholar 

  • Gershenson, C., & Heylighen, F. (2007) When can we call a system self-organizing? In Book chapter: Advances in Artificial life. Lecture notes in Computer Science, 2801–2003 (pp. 606–614). Berlin: Springer.

    Chapter  Google Scholar 

  • Heidegger, M. (1968). What is called thinking? (J. G. Gray, Trans.). New York: HarperCollins. ISBN 006090528x.

    Google Scholar 

  • Heidegger, M. (1977). The question concerning technology and other essays (W. Lovitt, Trans.). New York: Harper & Row. ISBN 0061319694.

    Google Scholar 

  • Holland, J. (1999). Emergence. From chaos to order. Basic Books. ISBN 9780738201429.

    Google Scholar 

  • Lamport, L. (1978a). Time, clocks and the ordering of events in a distributed system. Communications of the ACM, 21(7), 558–565.

    Article  Google Scholar 

  • Lamport, L. (1978b). The implementation of reliable distributed multiprocess systems. Computer Networks, 2, 95–114.

    Google Scholar 

  • Lamport, L. (1983). The weak Byzantine generals problem. Journal of the Association for Computing Machinery, 30(3), 668–676.

    Article  Google Scholar 

  • Lamport, L. (1998). The part-time parliament. ACM Transactions on Computer Systems, 16(2), 133–169.

    Article  Google Scholar 

  • Luhmann, N. (1995). Social systems. Stanford: Stanford University Press ISBN 084726256.

    Google Scholar 

  • Mathews, M. K., White, M. C., & Long, R. G. (1999). Why study the complexity sciences in the social sciences? Human Relations, 52(4), 439–462.

    Article  Google Scholar 

  • Nakomoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. https://bitcoin.org/bitcoin.pdf

  • NIST. (2015). Preliminary discussion draft framework for cyber-physical systems. Release 0.7 3/3/2015.

    Google Scholar 

  • Pease, M., Shostak, R., & Lamport, L. (1980). Reaching agreement in the presence of faults. Journal of the ACM, 27(2), 288–234.

    Article  Google Scholar 

  • Schwab, K. (2016). The fourth industrial revolution. Geneva: World Economic Forum. ISBN 9781944835002.

    Google Scholar 

  • Swan, M. (2015). Blockchain. Blueprint for a new economy. O’Reilly Inc. ISBN 9781491920497.

    Google Scholar 

  • Towards a European Roadmap on research and innovation in engineering and management of cyber-Physical systems of systems. (2015). Cyber-physical systems of systems: Research and innovation. Priorities. Initial document for public consultation.

    Google Scholar 

  • Trans-Atlantic Research and Education Agenda in Systems of Systems (T-AREA-SoS). (2013). Loughborough University. Document no. TAREA-PU-WP2-D-LU-9.

    Google Scholar 

  • van Lier, B. (2013). Luhmann meets Weick: Information interoperability and situational awareness. Emergence: Complexity & Organization, 15(1), 71–95.

    Google Scholar 

  • van Lier, B. (2015a). The enigma of context within network-centric environments. Context as phenomenon within an emerging internet of cyber-physical systems. Cyber Physical Systems, I(1), 46–64.

    Article  Google Scholar 

  • van Lier, B. (2015b). Advanced manufacturing and complexity science. Ultra large scale systems, emergence and self-organisation. 19th International Conference on System Theory, Control and Computing (ICSTCC 2015), October 14–16, 2015 at Cheile Gradistei—Fundata Resort (Romania).

    Google Scholar 

  • van Lier, B. (2018, February). Blockchain between edge and fog computing. https://www.centric.eu/NL/Default/Themas/Blogs/2018/02/13/Blockchain-between-edge-and-fog-computing

  • van Lier, B., & Hardjono, T. W. (2010). Luhmann meets the matrix. Exchanging and sharing information in network-centric environments. Journal of Systemics, Cybernetics and Informatics, 9(3), 68–72.

    Google Scholar 

  • van Lier, B., & Hardjono, T. W. (2011). A systems theoretical approach of interoperability of information. Systemic Practice and Action Research, 24(5), 479–497.

    Article  Google Scholar 

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van Lier, B. (2019). Blockchain Technology: The Autonomy and Self-Organisation of Cyber-Physical Systems. In: Treiblmaier, H., Beck, R. (eds) Business Transformation through Blockchain. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-98911-2_5

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