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Interdisciplinary Principles of Field-Like Coordination in the Case of Self-Organized Social Systems1

Authors: D. Plikynas, S. Masteika, A. Budrionis

Abstract:

This interdisciplinary research aims to distinguish universal scale-free and field-like fundamental principles of selforganization observable across many disciplines like computer science, neuroscience, microbiology, social science, etc. Based on these universal principles we provide basic premises and postulates for designing holistic social simulation models. We also introduce pervasive information field (PIF) concept, which serves as a simulation media for contextual information storage, dynamic distribution and organization in social complex networks. PIF concept specifically is targeted for field-like uncoupled and indirect interactions among social agents capable of affecting and perceiving broadcasted contextual information. Proposed approach is expressive enough to represent contextual broadcasted information in a form locally accessible and immediately usable by network agents. This paper gives some prospective vision how system-s resources (tangible and intangible) could be simulated as oscillating processes immersed in the all pervasive information field.

Keywords: field-based coordination, multi-agent systems, information-rich social networks, pervasive information field

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1086155

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References:


[1] Plikynas D.: A virtual field-based conceptual framework for the simulation of complex social systems. Journal of Systems Science and Complexity 23, 232-248 (2010)
[2] Yokoi H., Mizuno T., Takita M., Kakazu Y.: Amoeba searching behavior model using vibrating potential field. In: 34th SICE Annual Conference (SICE '95), pp. 1297 - 1302. Hokkaido University (1995)
[3] Hameroff S.: Quantum computation in brain microtubules? The Penrose-Hameroff 'Orch OR' model of consciousness. Philosophical Transactions: Mathematical, Physical and Engineering Sciences 356 (1743), 1869-1896 (1998)
[4] Popp F.A., Chang J.J., Herzog A., Yan Z., Yan Y.: Evidence of nonclassical (squeezed) light in biological systems. Physics letters A 293, 98-102 (2002)
[5] Rossi C., Foletti A., Magnani A., Lamponi S.: New perspectives in cell communication: bioelectromagnetic interactions. Seminars in Cancer biology 21(3), 207-214 (2011)
[6] McFadden J.: The Conscious Electromagnetic Information (CEMI) Field Theory. Journal of Consciousness Studies, 9(8), 45-60.
[7] John E. R.: The neurophysics of consciousness. Brain Research Reviews, 39, 1-28 (2002)
[8] MacLennan B.J.: Field computation in natural and artificial intelligence. Information Sciences, 119, 73-89 (1999)
[9] Mamei M., Zambonelli F.: Fieldāˆ’based coordination for pervasive multi-agent systems. Springer-Verlag, Berlin (2006)
[10] Mulle-Schloer C., Sick B.: Emergence in Organic Computing Systems: Discussion of a Controversial Concept. Autonomic and Trusted Computing. In: LNCS, pp. 1-16. Springer 4158 (2006)
[11] Servat D., Drogoul A.: Combining amorphous computing and reactive. In: AMAS-02, pp. 441-448. ACM, Bologna, Italy (2002)
[12] Laszlo E.: The Systems View of the World: A Holistic Vision for Our Time (Advances in Systems Theory, Complexity, and the Human Sciences) (2nd ed.). Hampton Press, Inc., Cresskill, NJ, US (1996)
[13] Osipov G. V., Kurths J., Zhou C.: Synchronization in Oscillatory Networks. Springer Series in Synergetics, Berlin (2007)
[14] MacLennan B.J.: Field computation in motor control. In: Self- Organization, Computational Maps and Motor Control, pp. 37-73. Elsevier, Amsterdam (1997)