On autonomy and emergence in self-organizing systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5343 LNCS, Issue , 2008, Pages 157-169

  Holzer, Richard ^a   De Meer, Hermann ^a   Bettstetter, Christian ^b  

^a UNIVERSITY OF PASSAU   (Germany)

^b UNIVERSITY OF KLAGENFURT   (Austria)

Author keywords

Autonomy; Emergence; Mathematical modeling; Self organziation; Systems

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTER SYSTEMS; COMPUTERS; MATHEMATICAL MODELS;

AUTONOMY; DISCRETE COMPLEXES; EMERGENCE; MULTIGRAPHS; SELF-ORGANIZING SYSTEMS; SELF-ORGANZIATION; STOCHASTIC AUTOMATON;

STOCHASTIC SYSTEMS;

EID: 58349110543     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-92157-8_14     Document Type: Conference Paper

References (18)

1. De Meer, H., Koppen, C.: Characterization of self-organization. In: Steinmetz, R., Wehrle, K. (eds.) Peer-to-Peer Systems and Applications. LNCS, vol. 3485, pp. 227-246. Springer, Heidelberg (2005)
2. Heylighen, F.P.: 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 Publishers (2003)
3. Nicolis, G., Prigogine, I.: Self-Organization in Non-Equilibrium Systems: From Dissipative Structures to Order Through Fluctuations. Wiley, Chichester (1977)
4. Haken, H.: Synergetics and the Problem of Selforganization. In: Self-organizing Systems: An Interdisciplinary Approach, pp. 9-13. Campus Verlag (1981)
5. Shalizi, C.R.: Causal Architecture, Complexity and Self-Organization in Time Series and Cellular Automata. PhD thesis, University of Wisconsin-Madison (2001)
6. von Foerster, H.: On Self-Organizing Systems and their Environments. In: Self-Organizing Systems, pp. 31-50. Pergamon, Oxford (1960)
7. Ashby, W.R.: Principles of Self-organization. In: Principles of Self-organization, pp. 255-278. Pergamon, Oxford (1962)
8. Heylighen, F., Joslyn, C.: Cybernetics and second order cybernetics. In: Encyclopaedia of Physical Science & Technology, vol. 4, pp. 155-170 (2001)
9. Gershenson, C.: Design and Control of Self-organizing Systems. PhD thesis, Vrije Universiteit Brussel, Brussels, Belgium (May 2007)
10. Boceara, N.: Modeling Complex Systems. Springer, Heidelberg (2004)
11. Holzer, R., de Meer, H.: On modeling of self-organizing systems. In: Autonomics 2008 (2008)
12. Di Marzo Serugendo, G., Foukia, N., Hassas, S., Karageorgos, A., Mostéfaoui, S.K., Rana, O.F., Ulieru, M., Valckenaers, P., Van Aart, C.: Self-organisation: Paradigms and applications. In: ESOA 2003. LNCS, vol. 2977, pp. 1-19. Springer, Heidelberg (2004)
13. Gerhenson, C., Heylighen, F.: When can we call a system self-organizing? In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds.) ECAL 2003. LNCS (LNAI), vol. 2801, pp. 606-614. Springer, Heidelberg (2003)
14. Cover, T.M., Thomas, J.A.: Elements of Information Theory, 2nd edn. Wiley, Chichester (2006)
15. Shannon, C.E.: A mathematical theory of communication. Bell System Technical Journal 27, 379-423 (1948)
16. Dessalles, J.L., Phan, D.: Emergence in multi-agent systems:cognitive hierarchy, detection, and complexity reduction. In: Computing in Economics and Finance 2005, vol. 257. Society for Computational Economics (November 2005)
17. Tyrrell, A., Auer, G., Bettstetter, C.: Biologically inspired synchronization for wireless networks. In: Dressler, F., Carreras, I. (eds.) Advances in Biologically Inspired Information Systems: Models, Methods, and Tools. Studies in Computational Intelligence, vol. 69, pp. 47-62. Springer, Heidelberg (1979)
18. Mirollo, R., Strogatz, S.: Synchronization of pulse-coupled biological oscillators. SIAM Journal of Applied Mathematics 50, 1645-1662 (1990)