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An Evolutionary Approach to Real-Time Conflict: Beware the ‘Language that Speaks Itself’

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Carl von Clausewitz, the Fog-of-War, and the AI Revolution

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Abstract

We examine real-time critical processes through an evolutionary lens, finding that protracted conflict between cognitive entities can trigger a self-referential, coevolutionary bootstrap dynamic, virtually a ‘language that speaks itself’. Such phenomena do not permit simple command-loop interventions in John Boyd’s sense and are very hard to contain.

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References

  • Champagnat, N., R. Ferriere, and S. Meleard. 2006. Unifying evolutionary dynamics: From individual stochastic process to macroscopic models. Theoretical Population Biology 69: 297–321.

    Article  MATH  Google Scholar 

  • Dembo, A., and O. Zeitouni. 1998. Large deviations and applications, 2nd ed. New York: Springer.

    Book  MATH  Google Scholar 

  • Eldredge, N., and S. Gould. 1972. Punctuated equilibrium: An alternative to phyletic gradualism. In Models in Paleobiology, ed. T. Schopf, 82–115. San Francisco: Cooper and Co.

    Google Scholar 

  • Emery, M. 1989. Stochastic calculus in manifolds. Springer, New York: Universititext Series.

    Book  MATH  Google Scholar 

  • Goldenfeld, N., and C. Woese. 2010. Life is physics: Evolution as a collective phenomenon far from equilibrium. arXiv: 1011.4125v1 [q-bio.PE]

  • Gould, S.J. 2002. The structure of evolutionary theory. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Hodgson, G., and T. Knudsen. 2010. Darwin’s Conjecture: The search for general principles of social and economic evolution. Chigago, IL: University of Chicago Press.

    Book  Google Scholar 

  • Langton, C. 1992. Life at the edge of chaos. In Artificial Life II, ed. C. Langton, C. Taylor, J. Farmer, and S. Rasmussen. Reading MA: Addison-Wesley.

    Google Scholar 

  • Mao, X. 2007. Stochastic differential equations and applications, 2nd ed. Philadelphia: Woodhead Publishing.

    MATH  Google Scholar 

  • Pettini, M. 2007. Geometry and topology in Hamiltonian dynamics. New York: Springer.

    Book  MATH  Google Scholar 

  • Sereno, M. 1991. Four analogies between biological and cultural/linguistic evolution. Journal of Theoretical Biology 151: 467–507.

    Article  Google Scholar 

  • Von Neumann, J. 1966. Theory of self-reproducing automata. University of Illinois Press.

    Google Scholar 

  • Wallace, R. 2010. Expanding the modern synthesis. Comptes Rendus Biologies 333: 701–709.

    Article  Google Scholar 

  • Wallace, R. 2011. A formal approach to evolution as self-referential language. BioSystems 106: 36–44.

    Article  Google Scholar 

  • Wallace, R. 2013. A new formal approach to evolutionary processes in socioeconomic systems. Journal of Evolutionary Economics 23: 1–15.

    Article  Google Scholar 

  • Wallace, R. 2014. A new formal perspective on ‘Cambrian explosions’. Comptes Rendus Biologies 337: 1–5.

    Article  Google Scholar 

  • Wallace, R. 2015a. An ecosystem approach to economic stabilization: Escaping the neoliberal wilderness. London: Routledge.

    Google Scholar 

  • Wallace, R. 2017b. Computational Psychiarty: A systems biology approach to the epigenetics of mental disorders. New York: Springer.

    Book  Google Scholar 

  • Wallace, R. 2018. Canonical instabilities of autonomous vehicle systems: The unsettling reality behind the dreams of greed. New York: Springer.

    Book  MATH  Google Scholar 

  • Wallace, R., and R. Fullilove. 2014. State policy and the political economy of criminal enterprise: Mass incarceration and persistent organized hyperviolence in the USA. Structural Change and Economic Dynamics 31: 17–31.

    Article  Google Scholar 

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Wallace, R. (2018). An Evolutionary Approach to Real-Time Conflict: Beware the ‘Language that Speaks Itself’. In: Carl von Clausewitz, the Fog-of-War, and the AI Revolution. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-74633-3_6

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  • DOI: https://doi.org/10.1007/978-3-319-74633-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74632-6

  • Online ISBN: 978-3-319-74633-3

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