Skip to main content
SpringerLink
Log in
Book cover

Self-organising Software pp 7–32Cite as

Self-organising Systems

  • Chapter

Part of the book series: Natural Computing Series ((NCS))

Abstract

This chapter describes the context of Self-organising Systems. First, it presents examples of diverse self-organising systems taken from natural life—living or non-living. Then, it provides an overview of software applications exhibiting self-organising behaviour.

Self-organisation and emergence in software systems.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    A spin is a tiny magnet.

  2. 2.

    Pheromones are chemical substances deposited by insects in their environment at regular intervals so that other insects sense and follow them.

  3. 3.

    PROSA stands for Product-Resource-Order-Staff Architecture.

References

  1. http://www.entropia.com (2003)

  2. http://www.gnutella.com (2003)

  3. http://www.kazaa.com (2003)

  4. http://www.ud.com (2003)

  5. http://www.swarm-bots.org/ (2005)

  6. http://www.swarmanoid.org/ (2010)

  7. http://www.symbrion.eu/ (2013)

  8. Aberer, K., Datta, A., Hauswirth, M.: P-Grid: dynamics of self-organizing processes in structured peer-to-peer systems. In: Peer-to-Peer Systems and Applications. LNCS, vol. 3485, pp. 137–153. Springer, Berlin (2005)

    Chapter  Google Scholar 

  9. Appleby, S., Steward, S.: Mobile software agents for control in telecommunications networks. BT Technol. J. 12(2), 104–113 (1994)

    Google Scholar 

  10. Babaoglu, O., Meling, H., Montresor, A.: Anthill: a framework for the development of agent-based peer-to-peer systems. In: 22th International Conference on Distributed Computing Systems (ICDCS’02), pp. 15–22. IEEE Computer Society, Los Alamitos (2002)

    Google Scholar 

  11. Bar-Yam, Y.: Dynamics of Complex Systems. Perseus Books, Cambridge (1997)

    MATH  Google Scholar 

  12. Barabási, A., Albert, R.: Emergence of scaling in random networks. Science 286(5439), 509–512 (1999)

    Article  MathSciNet  Google Scholar 

  13. Bartholdi, J.J., Eisenstein, D.D.: A production line that balances itself. Oper. Res. 44(1), 21–34 (1996)

    Article  MATH  Google Scholar 

  14. Bartholdi, J.J., Eisenstein, D.D.: Using bucket brigades to migrate from craft manufacturing to assembly lines. Manuf. Serv. Oper. Manag. 7(2), 121–129 (2005)

    Article  Google Scholar 

  15. Bartholdi, J.J., Eisenstein, D.D., Foley, R.D.: Performance of bucket brigades when work is stochastic. Oper. Res. 49(5), 710–719 (2001)

    Article  MATH  Google Scholar 

  16. Bonabeau, E., Henaux, F., Guerin, S., Snyers, D., Kuntz, P.: Routing in telecommunications networks with “smart” ant-like agents. In: Intelligent Agents for Telecommunications Applications ’98 (IATA’98) (1998)

    Google Scholar 

  17. Bonabeau, E., Dorigo, M., Théraulaz, G.: Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, London (1999)

    MATH  Google Scholar 

  18. Bonabeau, E., Dorigo, M., Theraulaz, G.: Inspiration for optimisation from social insect behaviour. Nature 406, 39–42 (2000)

    Article  Google Scholar 

  19. Brooks, R.: Artificial life: from robot dreams to reality. Nature 406, 945–947 (2000)

    Article  Google Scholar 

  20. Brueckner, S., Parunak, H.V.D.: Self-organising manet management. In: Serugendo, G., Karageorgos, A., Rana, O.F., Zambonelli, F. (eds.) Engineering Self-Organising Systems, Nature-Inspired Approaches to Software Engineering. Lecture Notes in Artificial Intelligence, vol. 2977, pp. 20–35. Springer, Berlin (2004)

    Google Scholar 

  21. Buhler, P.A., Vidal, J.M.: Towards adaptive workflow enactment using multiagent systems. Inf. Technol. Manag. 6(1), 61–87 (2005). doi:10.1007/s10799-004-7775-2

    Article  Google Scholar 

  22. Bussmann, S., Jennings, N.R., Wooldridge, M.: Multiagent Systems for Manufacturing Control. Springer, Berlin (2004)

    Google Scholar 

  23. Buyurgan, N., Meyyappan, L., Saygin, C., Dagli, C.H.: Real-time routing selection for automated guided vehicles in a flexible manufacturing system. Int. J. Manuf. Technol. Manag. 18(2), 169–181 (2007)

    Article  Google Scholar 

  24. Camazine, S., Deneubourg, J.L., Franks, N.R., Sneyd, J., Théraulaz, G., Bonabeau, E.: Self-Organization in Biological Systems. Princeton University Press, Princeton (2001). 2nd edn. (2003)

    Google Scholar 

  25. Cardelli, L.: Machines of systems biology. In: Bulletin of the EATCS 93, pp. 176–204 (2007)

    Google Scholar 

  26. Castro, L.D., Timmis, J.: Artificial Immune Systems: A New Computational Intelligence Approach. Springer, Berlin (2002)

    MATH  Google Scholar 

  27. Chen, Q., Hsu, M., Dayal, U., Griss, M.: Multi-agent cooperation, dynamic workflow and XML for e-commerce automation. In: Sierra, C., Gini, M., Rosenschein, J.S. (eds.) Proceedings of the Fourth International Conference on Autonomous Agents, Barcelona, Catalonia, Spain, pp. 255–263. ACM, New York (2000)

    Chapter  Google Scholar 

  28. Christensen, J.H.: Holonic manufacturing systems: initial architecture and standards directions. In: Proceedings of the First European Conference on Holonic Manufacturing Systems (1994)

    Google Scholar 

  29. Clair, G., Kaddoum, E., Gleizes, M.P., Picard, G.: Self-regulation in self-organising multi-agent systems for adaptive and intelligent manufacturing control. In: Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO’08, 20–24 October 2008, pp. 107–116. IEEE Computer Society, Los Alamitos (2008)

    Chapter  Google Scholar 

  30. Craig, W.R.: Flocks, herds and schools: a distributed behavioral model. SIGGRAPH Comput. Graph. 21(4), 25–34 (1987)

    Article  Google Scholar 

  31. Deneubourg, J.L., Goss, S., Franks, N., Sendova-Franks, A., Detrain, C., Chretien, L.: The dynamics of collective sorting robot-like ants and ant-like robots—simulation of animal behaviour. In: Meyer, J., Wilson, S. (eds.) First International Conference on Simulation of Adaptive Behaviour, pp. 356–363. MIT Press, Cambridge (1991)

    Google Scholar 

  32. Di Caro, G., Dorigo, M.: Ant colonies for adaptive routing in packet switched communication networks. In: Proceedings of PPSN V—Fifth International Conference on Parallel Problem Solving from Nature. Lecture Notes in Computer Science. Springer, Berlin (1998)

    Google Scholar 

  33. Di Marzo Serugendo, G., Karageorgos, A., Rana, O.F., Zambonelli, F. (eds.): Engineering Self-Organising Systems: Nature-Inspired Approaches to Software Engineering. Lecture Notes in Computer Science, vol. 2977. Springer, Berlin (2004)

    MATH  Google Scholar 

  34. Di Marzo Serugendo, G., Gleizes, M.P., Karageorgos, A.: Self-organisation in multi-agent systems. Knowl. Eng. Rev. 20(2), 165–189 (2005)

    Article  Google Scholar 

  35. Ducatel, K., Bogdanowicz, M., Scapolo, F., Leitjen, J., Burgelman, J.C.: Scenarios for ambient intelligence in 2010. Technical Report, Institute for Prospective Technological Studies (2001)

    Google Scholar 

  36. Endy, D.: Foundations for engineering biology. Nature 438, 449–453 (2005)

    Article  Google Scholar 

  37. Faloutsos, M., Faloutsos, P., Faloutsos, C.: On power-law relationships of the Internet topology. In: Proceedings of the Special Interest Group on Data Communications (ACM SIGCOMM’99), pp. 251–262. ACM, New York (1999)

    Google Scholar 

  38. Fernandez-Marquez, J.L., Arcos, J.L., Di Marzo Serugendo, G.: A decentralized approach for detecting dynamically changing diffuse event sources in noisy WSN environments. In: International Conference on Self-Adaptive and Self-Organising Systems (SASO’10). IEEE Computer Society, Los Alamitos (2010)

    Google Scholar 

  39. Flake, G.W., Lawrence, S., Giles, C.L., Coetzee, F.M.: Self-organisation and identification of web communities. Computer 35(3), 66–71 (2002)

    Article  Google Scholar 

  40. Forrest, S., Hofmeyer, S.A., Somayaji, A., Longstaff, T.A.: A sense of self for Unix processes. In: Proceedings of the IEEE Symposium on Research in Security and Privacy, pp. 120–128. IEEE Computer Society, Los Alamitos (1996)

    Google Scholar 

  41. Foukia, N.: IDReAM: intrusion detection and response executed with agent mobility. In: International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS’05), Utrecht, The Netherlands, pp. 264–270. IEEE Press, New York (2005)

    Chapter  Google Scholar 

  42. Georgé, J.P., Peyruqueou, S., Régis, C., Glize, P.: Experiencing self-adaptive MAS for real-time decision support systems. In: Demazeau, Y., Pavón, J., Corchado, J., Bajo, J. (eds.) 7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2009). Advances in Intelligent and Soft Computing, vol. 55, pp. 302–309. Springer, Berlin (2009)

    Chapter  Google Scholar 

  43. Grassé, P.P.: La reconstruction du nid et les coordinations interindividuelles chezbellicositermes natalensis etcubitermes sp la théorie de la stigmergie: Essai d’interprétation du comportement des termites constructeurs. Insectes Soc. 6(1), 41–80 (1959). doi:10.1007/BF02223791

    Article  MathSciNet  Google Scholar 

  44. Gross, R., Dorigo, M.: Towards group transport by swarms of robots. Int. J. Bio-Inspired Comput. 1(1/2), 1–13 (2009)

    Article  Google Scholar 

  45. Haken, H.: Synergetics: an introduction. Springer, Berlin (1978), reedited (1983)

    MATH  Google Scholar 

  46. Hardaker, G., Graham, G.: Energizing your e-commerce through self-organising collaborative marketing networks. Tech. Rep. (2002)

    Google Scholar 

  47. Helal, S., Wang, M.: Service centric brokering in dynamic e-business agent communities. J. Electron. Commer. Res. 2(1), 32–47 (2001). Special Issue on Intelligent Agents in E-commerce

    Google Scholar 

  48. Heylighen, F.: The science of self-organization and adaptivity. In: Kiel, L.D. (ed.) Knowledge Management, Organizational Intelligence and Learning, and Complexity, The Encyclopedia of Life Support Systems, EOLSS, pp. 253–280. Eolss Publishers, Oxford (2001)

    Google Scholar 

  49. Holland, O., Melhuis, C.: Stigmergy, self-organisation and sorting in collective robotics. Artif. Life 5(2), 173–202 (1999)

    Article  Google Scholar 

  50. Horst, F.W., Muddassar, F.: A comprehensive review of nature inspired routing algorithms for fixed telecommunication networks. J. Syst. Archit. 52(8), 461–484 (2006)

    Article  Google Scholar 

  51. Hulaas, J., Binder, W., Di Marzo Serugendo, G.: Enhancing Java grid computing security with resource control. In: International Conference on Grid Services Engineering and Management (GSEM’04) (2004)

    Google Scholar 

  52. Itao, T., Suda, T., Aoyama, T.: Jack-in-the-net: adaptive networking architecture for service emergence. In: Asian-Pacific Conference on Communications (2001)

    Google Scholar 

  53. Jelasity, M., Babaoglu, O.: T-man: Gossip-based overlay topology management. In: Engineering Self-Organizing Systems. LNCS, vol. 3910, pp. 1–15. Springer, Berlin (2006)

    Google Scholar 

  54. Jennings, N.R., Wooldridge, M.J. (eds.): Agent Technology: Foundations, Applications and Markets. Springer, Berlin (1998). This is a cross-referenced BOOK (collection) entry

    MATH  Google Scholar 

  55. Kari, L., Rosenberg, G.: The many facets of natural computing. Commun. ACM 51(10), 72–83 (2008)

    Article  Google Scholar 

  56. Karuna, H., Valckenaers, P., Saint-Germain, B., Verstraete, P., Zamfirescu, C.B., Van Brussek, H.: Emergent forecasting using stigmergy approach in manufacturing coordination and control. In: Engineering Self-Organizing Applications (ESOA’04), pp. 210–226. Springer, Berlin (2004)

    Google Scholar 

  57. Kaufman, S.: At Home in the Universe: The Search for the Laws of Self-Organization and Complexity. Oxford University Press, London (1995)

    Google Scholar 

  58. Kephart, J.O., Chess, D.M.: The vision of autonomic computing. Computer 36(1), 41–50 (2003). doi:10.1109/MC.2003.1160055

    Article  MathSciNet  Google Scholar 

  59. Ko, S.Y., Gupta, I., Jo, Y.: Novel mathematics-inspired algorithms for self-adaptive peer-to-peer computing. In: International Conference on Self-Adaptive and Self-Organising Systems (SASO’07) (2007)

    Google Scholar 

  60. Koestler, A.: The Ghost in the Machine. Hutchison and Co, London (1967), the Danube edn.

    Google Scholar 

  61. Levi, P., Kernbach, S. (eds.): Symbiotic Multi-Robot Organisms. Cognitive Systems Monographs, vol. 7. Springer, Berlin (2010)

    MATH  Google Scholar 

  62. Li, Y., Chen, F., Sun, X., et al.: Self-adaptive resource management for large-scale shared clusters. J. Comput. Sci. Technol. 25(5), 945–957 (2010)

    Article  MathSciNet  Google Scholar 

  63. Luhmann, N.: Familiarity, confidence, trust: problems and alternatives. In: Gambetta, D. (ed.) Trust: Making and Breaking Cooperative Relations, pp. 213–237 (2000). Chap. 13. Published Online http://www.sociology.ox.ac.uk/papers/gambetta213-237.pdf

    Google Scholar 

  64. Lynden, S., Rana, O.F.: Coordinated learning to support resource management in computational grids. In: Second IEEE Conference on Peer-to-Peer Computing (P2P 2002), pp. 81–89. IEEE Computer Society, Los Alamitos (2002)

    Google Scholar 

  65. Mamei, M., Vasirani, M., Zambonelli, F.: Self-organizing spatial shapes in mobile particles: the TOTA approach. In: Brueckner, S., Di Marzo Serugendo, G., Karageorgos, A., Nagpal, R. (eds.) Engineering Self-Organising Systems. Lecture Notes in Computer Science, vol. 3464, pp. 138–153. Springer, Berlin (2005)

    Chapter  Google Scholar 

  66. Martin-Flatin, J., Sventek, J., Geihs, K.: Self-managed systems and services. Commun. ACM 49(3), 36–39 (2006)

    Article  Google Scholar 

  67. Martino, S.: A mobile agent approach to intrusion detection. Tech. Rep., Joint Research Center—Institute for Systems, Informatics and Safety (1999)

    Google Scholar 

  68. Maturana, H.R., Varela, F.J.: Autopoiesis and Cognition: The Realization of the Living. Boston Studies in the Philosophy of Science. Springer, Berlin (1991). 2nd edn. (1980), 1st edn. (1973)

    Google Scholar 

  69. Mazhar, N., Farooq, M.: BeeAIS: artificial immune system security for nature inspired, MANET routing protocol, BeeAdHoc. In: Artificial Immune Systems. LNCS, vol. 4628, pp. 370–381. Springer, Berlin (2007)

    Chapter  Google Scholar 

  70. McHugh, P., Merli, G., Wheeler, W.A.: Beyond Business Process Reengineering: Towards the Holonic Enterprise. Wiley, New York (1995)

    Google Scholar 

  71. Meyyappan, L., Soylemezoglu, A., Saygin, C., Dagli, C.H.: A wasp-based control model for real-time routing of parts in a flexible manufacturing system. Int. J. Comput. Integr. Manuf. 21(3), 259–268 (2008)

    Article  Google Scholar 

  72. Microsoft: Dynamic systems 2007: Get started with dynamic systems technology today. Tech. Rep. (2007)

    Google Scholar 

  73. Mills, K.: A brief survey of self-organization in wireless sensor networks. Wirel. Commun. Mob. Comput. 7, 823–834 (2007)

    Article  MathSciNet  Google Scholar 

  74. Montresor, A., Meling, H., Babaoglu, O.: Messor: load-balancing through a swarm of autonomous agents. In: Moro, G., Koubarakis, M. (eds.) Agents and Peer-to-Peer Computing. Lecture Notes in Artificial Intelligence, vol. 2530, pp. 125–137. Springer, Berlin (2003)

    Chapter  Google Scholar 

  75. Nedelec, F., Surrey, T., Karsenti, E.: Self-organisation and forces in the microtubule cytoskeleton. Curr. Opin. Cell Biol. 15(2), 118–124 (2003)

    Article  Google Scholar 

  76. Nicolis, G., Prigogine, I.: Self-Organization in Non-Equilibrium Systems. Wiley, New York (1977)

    Google Scholar 

  77. O’Hare, G.M.P., Jennings, N.R. (eds.): Foundations of Distributed Artificial Intelligence. Software Agents. Wiley, London (1996)

    Google Scholar 

  78. Parunak, H.V.D.: Synthetic pheromone mechanisms for coordination of unmanned vehicles. In: AAMAS, Bologna, Italy (2002)

    Google Scholar 

  79. Parunak, H.V.D., VanderBok, R.S.: Managing emergent behavior in distributed control systems. In: ISA-Tech’97, Anaheim (1997)

    Google Scholar 

  80. Picard, G., Gleizes, M.P.: The adelfe methodology: designing adaptive cooperative multi-agent systems. In: Bergenti, F., Gleizes, M.P., Zambonelli, F. (eds.) Methodologies and Software Engineering for Agent Systems. The Agent-Oriented Software Engineering Handbook, vol. 11. Kluwer Academic, Amsterdam (2004)

    Chapter  Google Scholar 

  81. Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach. Prentice Hall Series. Prentice Hall, New York (1995)

    MATH  Google Scholar 

  82. Schoonderwoerd, R., Holland, O., Bruten, J.: Ant-like agents for load balancing in telecommunications networks. In: 1st International Conference on Autonomous Agents, pp. 209–216. IEEE Computer Society, Los Alamitos (1997)

    Chapter  Google Scholar 

  83. Searle, J.R.: The Rediscovery of the Mind. MIT Press, Cambridge (1992)

    Google Scholar 

  84. Seeley, T.D.: When is self-organization used in biological systems? Biol. Bull. 202, 314–318 (2002)

    Article  Google Scholar 

  85. Shen, W., Norrie, D.H.: Agent-based systems for intelligent manufacturing: a state-of-the-art survey. Knowl. Inf. Syst. 1(2), 129–156 (1999)

    Google Scholar 

  86. Smartdust project. http://robotics.eecs.berkeley.edu/~pister (2003)

  87. Stewart, M.: The Coevolving Organization. Decomplexity Associates LtD, Rutland (2001)

    Google Scholar 

  88. Thakoor, S., Morookian, J.M., Chahl, J., Hine, B., Zornetzer, S.: Bees: exploring mars with bioinspired technologies. Computer 37(9), 36–47 (2004)

    Article  Google Scholar 

  89. Ueda, K.: Emergent synthesis approaches to biological manufacturing systems. In: Cunha, P.F., Maropoulos, P.G. (eds.) Digital Enterprise Technology: Perspectives and Future Challenges, pp. 25–34. Springer, New York (2007)

    Google Scholar 

  90. Ueda, K., Markus, A., Monostori, L., Kals, H.J.J., Arai, T.: Emergent synthesis methodologies for manufacturing. CIRP Ann. Manuf. Technol. 50(2), 535–551 (2001). doi:10.1016/S0007-8506(07)62994-1

    Article  Google Scholar 

  91. Ulieru, M.: Emergence of holonic enterprises from multi-agent systems: a fuzzy evolutionary approach. In: Soft Computing Agents, vol. 13, pp. 187–215. IOS Press, Amsterdam (2002)

    Google Scholar 

  92. Ulieru, M.: Internet-enabled soft computing holarchies for e-health applications (soft computing enhancing the Internet and the Internet enhancing soft computing). In: Zadeh, L.A., Nikravesh, M. (eds.) New Directions in Enhancing the Power of the Internet. Springer, Berlin (2003)

    Google Scholar 

  93. Ulieru, M.: Adaptive information infrastructures for the e-society. In: Brueckner, S., Serugendo, G.D.M., Karageorgos, A., Nagpal, R. (eds.) Engineering Self-Organising Systems: Methodologies and Applications. Lecture Notes in Artificial Intelligence, vol. 3464, pp. 32–51. Springer, Berlin (2005)

    Chapter  Google Scholar 

  94. Valckenaers, P., Brussel, H.V.: Holonic manufacturing execution systems. CIRP Ann. Manuf. Technol. 54(1), 427–432 (2005)

    Article  Google Scholar 

  95. Valckenaers, P., Brussel, H.V., Kollingbaum, M., Bochmann, O.: Multi-agent coordination and control using stigmergy applied in manufacturing control. In: Luck, M., Marik, V., Stepankova, O., Trappl, R. (eds.) Multi-Agent Systems and Applications, 9th ECCAI Advance Cource ACAI 2001 and AgentLink’s 3rd European Agent Systems Summer School, EASS 2001, Selected Tutorial Papers, vol. 2086, pp. 317–334. Springer, Berlin (2001)

    Google Scholar 

  96. Van Brussel, H., Wyns, J., Valckenaers, P., Bongaerts, L., Peeters, P.: Reference architecture for holonic manufacturing systems: Prosa. Comput. Ind. 37(3), 255–274 (1998). doi:10.1016/S0166-3615(98)00102-X

    Article  Google Scholar 

  97. Visual behaviours for mobile robots project. http://www.isr.ist.utl.pt/vislab/projects.html (2003)

  98. Viroli, M., Zambonelli, F.: A biochemical approach to adaptive service ecosystems. Inf. Sci. 180(10), 1876–1892 (2010)

    Article  Google Scholar 

  99. Visconti, A., Tahayori, H.: Detecting misbehaving nodes in MANET with an artificial immune system based on type-2 fuzzy sets. In: IEEE Proceedings of the 4th International Conference for Internet Technology and Secured Transactions (ICITST09). IEEE Computer Society, Los Alamitos (2009)

    Google Scholar 

  100. Vittikh, V.A., Skobelev, P.O.: Multi-agent systems for modelling of self-organization and cooperation processes. In: XIII International Conference on the Application of Artificial Intelligence in Engineering, Galway, Ireland, pp. 91–96 (2002)

    Google Scholar 

  101. Werbach, K.: Syndication—the emerging model for business in the Internet era. Harvard Bus. Rev. 78, 85–93 (2000)

    Google Scholar 

  102. Wokoma, I., Sacks, L., Marshall, I.: Biologically inspired models for sensor network design. In: London Communications Symposium (2002)

    Google Scholar 

  103. Wrzesinska, G., Maassen, J., Bal, H.: Self-adaptive applications on the Grid. In: 12th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (2007)

    Google Scholar 

  104. Zhang, X., Norrie, D.H.: Holonic control at the production and controller levels. In: Proceedings of the 2nd International Workshop on Intelligent Manufacturing Systems, pp. 215–224 (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Birkbeck College, University of London, London, UK

    Giovanna Di Marzo Serugendo

  2. IRIT, Université Paul Sabatier, Toulouse, France

    Marie-Pierre Gleizes

  3. Technological Educational Institute of Larissa, Larissa, Greece

    Anthony Karageorgos

Authors
  1. Giovanna Di Marzo Serugendo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marie-Pierre Gleizes
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Anthony Karageorgos
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Anthony Karageorgos .

Editor information

Editors and Affiliations

  1. Centre Universitaire d'Informatique, Université de Genève, route de Drize 7, Carouge, 1227, Geneve, Switzerland

    Giovanna Di Marzo Serugendo

  2. , Institut de Recherche, Université Paul Sabatier, route de Narbonne 118, Toulouse, 31062, France

    Marie-Pierre Gleizes

  3. of Larissa, Dept. of Forestry, Technological Education Institute, Terma Mavromihali, Karditsa, 431 00, Greece

    Anthony Karageorgos

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Di Marzo Serugendo, G., Gleizes, MP., Karageorgos, A. (2011). Self-organising Systems. In: Di Marzo Serugendo, G., Gleizes, MP., Karageorgos, A. (eds) Self-organising Software. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17348-6_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-17348-6_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17347-9

  • Online ISBN: 978-3-642-17348-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation