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Dual Phase Evolution and Self-organisation in Networks

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Simulated Evolution and Learning (SEAL 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5361))

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Abstract

Dual Phase Evolution (DPE) is a widespread natural process in which complex systems adapt and self-organise by switching alternately between two phases: a phase of global interactions and a phase of local interactions. We show that in evolving networks of agents, DPE can give rise to a wide variety of topologies. In particular, it can lead to the spontaneous emergence of stabilising modular structure.

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References

  1. Paperin, G., Green, D.G., Sadedin, S., Leishman, T.G.: A Dual Phase Evolution model of adaptive radiation in landscapes. In: Randall, M., Abbass, H.A., Wiles, J. (eds.) ACAL 2007. LNCS (LNAI), vol. 4828, pp. 131–143. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  2. Albert, R., Barabási, A.L.: Topology of Evolving Networks: Local Events and Universality. Physical Review Letters 85, 5234–5237 (2000)

    Article  Google Scholar 

  3. Watts, D.J., Strogatz, S.H.: Collective dynamics of ’small-world’ networks. Nature 393, 409–410 (1998)

    Article  Google Scholar 

  4. Erdös, P., Rényi, A.: On the Evolution of Random Graphs Magyar Tudományos Akadémia. Matematikai Kutató Intézetének Közleményei 5, 17–61 (1960)

    Google Scholar 

  5. Bak, P.: How Nature Works: The Science of Self-Organized Criticality. Springer, Heidelberg (1999)

    MATH  Google Scholar 

  6. Green, D.G.: Emergent Behaviour in Biological Systems. In: Green, D.G., Bossomaier, T.R.J. (eds.) Complex Systems: From Biology to Computation, pp. 24–33. IOS Press, Amsterdam (1993)

    Google Scholar 

  7. Green, D.G.: Self-Organization in complex systems. In: Bossomaier, T.R.J., Green, D.G. (eds.) Complex Systems, pp. 7–41. Cambridge University Press, Cambridge (2000)

    Google Scholar 

  8. Green, D.G., Kirley, M.G.: Adaptation, diversity and spatial patterns. International Journal of Knowledge-Based Intelligent Engineering Systems 4, 184–190 (2000)

    Google Scholar 

  9. Green, D.G., Leishman, T.G., Sadedin, S.: Dual phase evolution: a mechanism for self-organization in complex systems. InterJournal Complex Systems (2006)

    Google Scholar 

  10. Kirley, M.G., Li, X., Green, D.G.: The cellular genetic algorithm. In: McKay, B., Yao, X., Newton, C.S., Kim, J.-H., Furuhashi, T. (eds.) SEAL 1998. LNCS, vol. 1585, pp. 93–100. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  11. LiveGraph - a framework for real-time data visualisation, analysis and logging (accessed on 01.03.2008), http://www.live-graph.org

  12. Bearman, P.S., Moody, J., Stovel, K.: Chains of Affection: The Structure of Adolescent Romantic and Sexual Networks. American Journal of Sociology 110, 44–91 (2004)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Faculty of Information Technology, Monash University, Clayton Campus, Building 63, Wellington Road, Clayton, 3800, Victoria, Australia

    Greg Paperin, David G. Green & Tania G. Leishman

Authors
  1. Greg Paperin
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  2. David G. Green
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  3. Tania G. Leishman
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Editor information

Editors and Affiliations

  1. School of Computer Science and information Technology, RMIT University, VIC 3001, Melbourne, Australia

    Xiaodong Li

  2. Melbourne School Engineering, Department of Computer Science and Software Engineering, The University of Melbourne, VIC 3001, Melbourne, Australia

    Michael Kirley

  3. School of Mathematics, Statistics and Computer Science, Victoria University of Wellington, P.O. Box 600, 6140, Wellington, New Zealand

    Mengjie Zhang

  4. Faculty of Information Technology, Monash University, Clayton Campus, VIC 3800, Australia

    David Green

  5. School of Computer Science and Information Technology, RMIT University, VIC 3001, Melbourne, Australia

    Vic Ciesielski

  6. School of Information Technology and Electrical Engineering, Australian Defence Force Academy, University of New South Wales, Canberra, Australia

    Hussein Abbass

  7. School of Computer Science, University of Adelaide, SA 5005, Adelaide, Australia

    Zbigniew Michalewicz

  8. Faculty of Information and Communication Technologies, Swinburne University of Technology, Melbourne, Australia

    Tim Hendtlass

  9. Indian Institute of Technology Kanpur, Department of Mechanical Engineering, Kanpur Genetic Algorithms Laboratory (KanGAL), 208016, Kanpur, Uttar Pradesh, India

    Kalyanmoy Deb

  10. Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, 117576, Singapore

    Kay Chen Tan

  11. Institute AIFB, University of Karlsruhe, 76128, Karlsruhe, Germany

    Jürgen Branke

  12. Xi’an Jiaotong-Liverpool University, 215123, Suzhoum, China

    Yuhui Shi

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© 2008 Springer-Verlag Berlin Heidelberg

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Paperin, G., Green, D.G., Leishman, T.G. (2008). Dual Phase Evolution and Self-organisation in Networks. In: Li, X., et al. Simulated Evolution and Learning. SEAL 2008. Lecture Notes in Computer Science, vol 5361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89694-4_58

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  • DOI: https://doi.org/10.1007/978-3-540-89694-4_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89693-7

  • Online ISBN: 978-3-540-89694-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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