Autogenetic Network Theory

  • A. Nikonov
  • A. von MüllerEmail author
Part of the On Thinking book series (ONTHINKING, volume 4)


Autogenetic network theory is a minimalistic toy model for a physical world built up by elements and relations. There is no fundamental background spacetime merely representing a stage for the dynamics of matter. Instead constellations of simple objects generate spacetime in an emergent fashion. Since there are no intrinsic weights of the elements or relations, the primary goal of the theory is to explore if a single class of parameterless links can account for a richer variety of physical characteristics of spacetime, forces and matter. In this introduction the basic building blocks of the theory are characterised and their correspondence to the typical spacetime background based representation of physics is motivated. Furthermore it is demonstrated how the network description could possibly solve some inconsistencies of standard physics as the analysis of the black hole entropy. In addition, as the factual perspective alone may not be sufficient for the complete understanding of the physical world, a possible integration of the triality account philosophy and the network representation of physics is proposed.


Black Hole Partial Order Black Hole Entropy Maximum Entropy Principle Partial Order Relation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Baez JC (2001) The meaning of Einstein’s equation. arXiv:gr-qc/0103044Google Scholar
  2. 2.
    Barbour J, Phister H (1995) Mach’s principle. Birkhäuser, BostonzbMATHGoogle Scholar
  3. 3.
    Bekenstein JD (1973) Black holes and entropy. Phys Rev D 7:2333–2346CrossRefADSMathSciNetGoogle Scholar
  4. 4.
    Caticha A (2010) Entropic dynamics, time and quantum theory. arXiv:1005.2357Google Scholar
  5. 5.
    Dowker F (2005) Causal set and deep structure of spacetime. arXiv:gr-qc/0508109Google Scholar
  6. 6.
    Doyle PG, Snell JL (1984) Random walks and electrical networks. Mathematical Association of America, WashingtonGoogle Scholar
  7. 7.
    Hawking S (1975) Commun Math Phys 43:199–203CrossRefADSMathSciNetGoogle Scholar
  8. 8.
    Jaynes ET (2003) Probability theory: the logic of science. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  9. 9.
    Klein DJ, Randic M (1993) Resistance distance. J Math Chem 12:81–95CrossRefMathSciNetGoogle Scholar
  10. 10.
    Krioukov D et al (2012) Network cosmology. arXiv:gr-qc/1203.2109Google Scholar
  11. 11.
    Samuel Clarke DD (1717) A collection of papers, which passed between the late learned Mr. Leibniz, and Dr. Clarke, in the years 1715 and 1716Google Scholar
  12. 12.
    Wheeler JA (1983) Law without law. In: Wheeler JA, Zurek WF (eds) Quantum theory and measurement, Princeton series of physics. Princeton University Press, PrincetonCrossRefGoogle Scholar
  13. 13.
    Wheeler JA (1991) Sakharov revisited: “It from Bit”. In: Proceedings of the first international A D Sakharov memorial conference on physics, Moscow, USSRGoogle Scholar
  14. 14.
    Wheeler JA, Feynman RP (1949) Classical electrodynamics in terms of direct interparticle action. Rev Mod Phys 21:425–433CrossRefADSzbMATHMathSciNetGoogle Scholar
  15. 15.
    Wittgenstein L (1922) Tractatus logico-philosophicus, Routledge & Kegan Paul LTD, LondonzbMATHGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Parmenides Center for the Study of ThinkingMunichGermany
  2. 2.Mathematics DepartmentLMUMunichGermany
  3. 3.Philosophy DepartmentLMUMunichGermany

Personalised recommendations