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Complexity and Interaction: Blurring Borders between Physical, Computational, and Social Systems

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2013)

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Abstract

Complex systems of any kind are characterised by autonomous components interacting with each other in a non-trivial way. In this paper we discuss how the views on complexity are evolving in fields like physics, social sciences, and computer science, and – most significantly – how they are converging.

In particular, we focus on the role of interaction as the foremost dimension for modelling complexity, and discuss first how coordination via mediated interaction could determine the general dynamics of complex software system, then how this applies to complex socio-technical systems like social networks.

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References

  1. Simon, H.A.: The architecture of complexity. Proceedings of the American Philosophical Society 106(6), 467–482 (1962)

    Google Scholar 

  2. Kauffman, S.A.: Investigations. Oxford University Press (January 2003)

    Google Scholar 

  3. Wegner, P.: Why interaction is more powerful than algorithms. Communications of the ACM 40(5), 80–91 (1997)

    Article  Google Scholar 

  4. Omicini, A., Ricci, A., Viroli, M.: The multidisciplinary patterns of interaction from sciences to Computer Science. In: Goldin, D.Q., Smolka, S.A., Wegner, P. (eds.) Interactive Computation: The New Paradigm, pp. 395–414. Springer (September 2006)

    Google Scholar 

  5. Gelernter, D., Carriero, N.: Coordination languages and their significance. Communications of the ACM 35(2), 97–107 (1992)

    Article  Google Scholar 

  6. Weyns, D., Omicini, A., Odell, J.J.: Environment as a first-class abstraction in multi-agent systems. Autonomous Agents and Multi-Agent Systems 14(1), 5–30 (2007); Special Issue on Environments for Multi-agent Systems

    Google Scholar 

  7. Ricci, A., Viroli, M.: Coordination artifacts: A unifying abstraction for engineering environment-mediated coordination in MAS. Informatica 29(4), 433–443 (2005)

    Google Scholar 

  8. Omicini, A.: Agents writing on walls: Cognitive stigmergy and beyond. In: Paglieri, F., Tummolini, L., Falcone, R., Miceli, M. (eds.) The Goals of Cognition. Essays in Honor of Cristiano Castelfranchi. Tributes, vol. 20, pp. 543–556. College Publications, London (2012)

    Google Scholar 

  9. Viroli, M., Holvoet, T., Ricci, A., Schelfthout, K., Zambonelli, F.: Infrastructures for the environment of multiagent systems. Autonomous Agents and Multi-Agent Systems 14(1), 49–60 (2007) (Special Issue: Environment for Multi-Agent Systems)

    Google Scholar 

  10. Boltzmann, L.: Lectures on Gas Theory. University of California Press (1964)

    Google Scholar 

  11. Kauffman, S.A.: The Origins of Order: Self-organization and Selection in Evolution. Oxford University Press (January 1993)

    Google Scholar 

  12. Bouchaud, J.P., Potters, M.: Theory of Financial Risk and Derivative Pricing: From Statistical Physics to Risk Management, 2nd edn. Cambridge University Press, Cambridge (2003)

    Book  Google Scholar 

  13. Mantegna, R.N., Stanley, H.E.: Introduction to Econophysics: Correlations and Complexity in Finance. Cambridge University Press, Cambridge (1999)

    Book  Google Scholar 

  14. Mézard, M., Montanari, A.: Information, Physics, and Computation. Oxford University Press, Oxford (2009)

    Book  MATH  Google Scholar 

  15. Nishimori, H.: Statistical Physics of Spin Glasses and Information Processing: An Introduction. International Series of Monographs on Physics, vol. 111. Clarendon Press, Oxford (2001)

    Book  Google Scholar 

  16. Mézard, M., Parisi, G., Virasoro, M.A.: Spin Glass Theory and Beyond. An Introduction to the Replica Method and Its Applications. World Scientific Lecture Notes in Physics, vol. 9. World Scientific, Singapore (1986)

    Google Scholar 

  17. Contucci, P., Giardinà, C.: Perspectives on Spin Glasses. Cambridge University Press, Cambridge (2012)

    Book  Google Scholar 

  18. Stanley, H.E.: Econophysics and the current economic turmoil. American Physical Society News 17(11), 8 (2008); The Back Page

    Google Scholar 

  19. Watts, D.J., Strogatz, S.H.: Collective dynamics of ‘small-world’ networks. Nature 393(6684), 440–442 (1998)

    Article  Google Scholar 

  20. Granovetter, M.S.: The strength of weak ties. American Journal of Sociology 78(6), 1360–1380 (1973)

    Article  Google Scholar 

  21. FaceBook: Home page, http://www.facebook.com

  22. LiquidFeedback: Home page, http://liquidfeedback.org

  23. Ciancarini, P.: Coordination models and languages as software integrators. ACM Computing Surveys 28(2), 300–302 (1996)

    Article  Google Scholar 

  24. Ciancarini, P., Omicini, A., Zambonelli, F.: Coordination technologies for Internet agents. Nordic Journal of Computing 6(3), 215–240 (1999)

    Google Scholar 

  25. Gelernter, D.: Generative communication in Linda. ACM Transactions on Programming Languages and Systems 7(1), 80–112 (1985)

    Article  MATH  Google Scholar 

  26. Arbab, F.: Reo: A channel-based coordination model for component composition. Mathematical Structures in Computer Science 14, 329–366 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  27. Wegner, P.: Coordination as constrained interaction (extended abstract). In: Hankin, C., Ciancarini, P. (eds.) COORDINATION 1996. LNCS, vol. 1061, pp. 15–17. Springer, Heidelberg (1996)

    Chapter  Google Scholar 

  28. Zavattaro, G.: On the incomparability of Gamma and Linda. Technical Report SEN-R9827, CWI, Amsterdam, The Netherlands (October 1998)

    Google Scholar 

  29. Denti, E., Natali, A., Omicini, A.: On the expressive power of a language for programming coordination media. In: 1998 ACM Symposium on Applied Computing, SAC 1998, Atlanta, GA, USA, February 27-March 1, pp. 169–177. ACM (1998); Special Track on Coordination Models, Languages and Applications

    Google Scholar 

  30. Omicini, A.: Nature-inspired coordination for complex distributed systems. In: Fortino, G., Badica, C., Malgeri, M., Unland, R. (eds.) Intelligent Distributed Computing VI. SCI, vol. 446, pp. 1–6. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  31. Theraulaz, G., Bonabeau, E.: A brief history of stigmergy. Artificial Life 5(2), 97–116 (1999)

    Article  Google Scholar 

  32. Ricci, A., Omicini, A., Viroli, M., Gardelli, L., Oliva, E.: Cognitive stigmergy: Towards a framework based on agents and artifacts. In: Weyns, D., Van Dyke Parunak, H., Michel, F. (eds.) E4MAS 2006. LNCS (LNAI), vol. 4389, pp. 124–140. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  33. O’Reilly, T.: What is Web 2.0: Design patterns and business models for the next generation of software. Communications & Strategies 65(1st Quarter), 17–37 (2007)

    Google Scholar 

  34. Verhagen, H., Noriega, P., Balke, T., de Vos, M. (eds.): Social Coordination: Principles, Artefacts and Theories (SOCIAL.PATH), AISB Convention 2013, University of Exeter, UK, April 3-5. The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (2013)

    Google Scholar 

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Omicini, A., Contucci, P. (2013). Complexity and Interaction: Blurring Borders between Physical, Computational, and Social Systems. In: Bǎdicǎ, C., Nguyen, N.T., Brezovan, M. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2013. Lecture Notes in Computer Science(), vol 8083. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40495-5_1

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  • DOI: https://doi.org/10.1007/978-3-642-40495-5_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40494-8

  • Online ISBN: 978-3-642-40495-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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