Abstract
A sequence of perceivable events or recorded observations over time commonly witnesses the life cycle of an individual at a macroscopic perspective. In case of a human being, birth could make the starting point followed by successive maturation along with increase of individual skills. Further events like foundation of a family, stages of career, coping with dramatic diseases, loss of abilities, and finally the death mark crucial events within a human life cycle. Even beyond biology, life cycles are present in various contexts, for instance when elucidating the quality of durable technical products such as cars. Social scenarios or games with several players incorporate consideration of life cycles as well. Provided by logfiles or monitoring reports, dedicated accumulation of events facilitates identification of life cycles whose statistical analysis promises valuable insights. To this end, we formalise an individual by a set of attributes. Based on its underlying initial assignment (“genetic potential”), events can update corresponding attribute values. Furthermore, events might create new individuals but also kill or merge existing ones. For modelling and evaluation of life cycles, we introduce action-accumulating P systems inspired by dealing with events which in turn result in actions at the system’s level. Two case studies demonstrate practical benefits from our approach: We explore the survival of pieces in the board game Mensch ärgere Dich nicht (Man, don’t get annoyed – a variation of Ludo). Secondly, we interpret pseudonymised data from 1,108 students who attended our university course Introduction to Programming stating main factors to improve the final grade with emphasis on the effect of passing a line of exercises and practical training offers.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alhazov, A., Cojocaru, S., Colesnicov, A., Malahov, L., Petic, M.: A P system for annotation of Romanian affixes. In: Alhazov, A., Cojocaru, S., Gheorghe, M., Rogozhin, Y., Rozenberg, G., Salomaa, A. (eds.) CMC 2013. LNCS, vol. 8340, pp. 80–87. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-642-54239-8_7
Banks, J. (ed.): Handbook of Simulation. Wiley, Hoboken (1998)
Bernardini, F., Gheorghe, M.: Population P systems. J. Univ. Comput. Sci. 10(5), 509–539 (2004)
Broggi, A., Buzzoni, M., Debattisti, S., Grisleri, P., Laghi, M.C., Medici, P., Versari, P.: Extensive tests of autonomous driving technologies. IEEE Trans. Intell. Transp. Syst. 14(3), 1403–1415 (2013)
Bakir, M.E., Gheorghe, M., Konur, S., Stannett, M.: Comparative analysis of statistical model checking tools. In: Leporati, A., Rozenberg, G., Salomaa, A., Zandron, C. (eds.) CMC 2016. LNCS, vol. 10105, pp. 119–135. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-54072-6_8
Chen, H., Chiang, R.H.L., Storey, V.C.: Business intelligence and analytics: from big data to big impact. MIS Q. 36(4), 1165–1188 (2012)
Ciobanu, A., Ipate, F.: Implementation of P systems by using big data technologies. In: Alhazov, A., Cojocaru, S., Gheorghe, M., Rogozhin, Y., Rozenberg, G., Salomaa, A. (eds.) CMC 2013. LNCS, vol. 8340, pp. 117–137. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-642-54239-8_10
Cunha, F., Heckman, J.J., Lochner, L.J., Masterov, D.V.: Interpreting the evidence on life cycle skill formation. In: Handbook of the Economics of Education, Chap. 12, pp. 697–812. Elsevier (2006)
Erevelles, S., Fukawa, N., Swayne, L.: Big data consumer analytics and the transformation of marketing. Elsevier J. Bus. Res. 69(2), 897–904 (2016)
Estrin, A., Kaminski, M.: The expressive power of temporal logic of actions. J. Logic Comput. 12(5), 839–859 (2002)
Grout, P.A., Park, I.U.: Competitive planned obsolescence. RAND J. Econ. 36(3), 596–612 (2005)
Guinee, J.B.: Handbook on life cycle assessment operational guide to the ISO standards. Int. J. Life Cycle Assess. 7(3), 158–166 (2002)
Han, J., Kamber, M., Pei, J.: Data Mining Concepts and Techniques. Morgan Kaufmann and Elsevier, Burlington (2012)
Hilbert, M., Lopez, P.: The world’s technological capacity to store, communicate, and compute information. Science 332, 60–65 (2011)
Hinze, T., Grützmann, K., Höckner, B., Sauer, P., Hayat, S.: Categorised counting mediated by blotting membrane systems for particle-based data mining and numerical algorithms. In: Gheorghe, M., Rozenberg, G., Salomaa, A., Sosík, P., Zandron, C. (eds.) CMC 2014. LNCS, vol. 8961, pp. 241–257. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-14370-5_15
Hinze, T., Weber, L.L., Hatnik, U.: Walking membranes: grid-exploring P systems with artificial evolution for multi-purpose topological optimisation of cascaded processes. In: Leporati, A., Rozenberg, G., Salomaa, A., Zandron, C. (eds.) CMC 2016. LNCS, vol. 10105, pp. 251–271. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-54072-6_16
Jiang, Y., Peng, H., Huang, X., Zhang, J., Shi, P.: A novel clustering algorithm based on P systems. Int. J. Innov. Comput. Inf. Control 10(2), 753–765 (2014)
Kefalas, P., Stamatopoulou, I., Eleftherakis, G., Gheorghe, M.: Transforming state-based models to P systems models in practice. In: Corne, D.W., Frisco, P., Păun, G., Rozenberg, G., Salomaa, A. (eds.) WMC 2008. LNCS, vol. 5391, pp. 260–273. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-540-95885-7_19
Lamport, L.: The temporal logics of actions. ACM Trans. Program. Lang. Syst. 16(3), 872–923 (1994)
Meyer, B.: Object-Oriented Software Construction. Prentice Hall, New York (1997)
O’Leary, D.E.: Enterprise Resource Planning Systems: Systems, Life Cycle, Electronic Commerce, and Risk. Cambridge University Press, Cambridge (2000)
Neugarten, L.: Time, age, and the life cycle. Am. J. Psychiatry 136(7), 887–894 (1979)
Stüber, G.L.: Principles of Mobile Communication. Springer, New York (2011). https://doi.org/10.1007/978-1-4614-0364-7
Wallhoff, F., Bannat, A., Gast, J., Rehrl, T., Dausinger, M., Rigoll, G.: Statistics-based cognitive human-robot interfaces for board games – let’s play!. In: Salvendy, G., Smith, M.J. (eds.) Human Interface 2009. LNCS, vol. 5618, pp. 708–715. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-02559-4_77
Witten, I.H., Frank, E., Hall, M.A., Pal, C.J.: Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann and Elsevier, Burlington (2017)
Yang, G.: Life Cycle Reliability Engineering. Wiley, Hoboken (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Hinze, T., Förster, B. (2018). Event-Based Life in a Nutshell: How Evaluation of Individual Life Cycles Can Reveal Statistical Inferences Using Action-Accumulating P Systems. In: Gheorghe, M., Rozenberg, G., Salomaa, A., Zandron, C. (eds) Membrane Computing. CMC 2017. Lecture Notes in Computer Science(), vol 10725. Springer, Cham. https://doi.org/10.1007/978-3-319-73359-3_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-73359-3_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-73358-6
Online ISBN: 978-3-319-73359-3
eBook Packages: Computer ScienceComputer Science (R0)