Abstract
The convergence of technology, information environments and great power competition define today’s operating environment. Enabled by technology, the sources, speed and scale of change demand agility. To succeed, national security and defense challenges can leverage several arbitrage opportunities: a broader consideration of human behavior, deeper knowledge of complexity dynamics, smarter understanding of others’ cognitive bias as well as our own and finally sharper operating environment capabilities. These also necessitate maneuvering the underlying conflux of increasing connectivity, complexity and uncertainty across most human behavior to master operational art. Capitalizing on transformational computing power, big data, AI and computational social sciences are keys to preparing for alternative futures for our defense and security.
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References
B.W. Arthur, Positive Feedbacks in the Economy (Scientific American, 1990)
B.W. Arthur, Increasing Returns and Path Dependence in the Economy (Michigan, 1995)
B.W. Arthur, Is the information revolution over? If history is a guide, it is not, in Business 2.0 (2002)
W.R. Ashbey, An Introduction to Cybernetics (Chapman and Hall, London, 1956).
R. Axelrod, M.D. Cohen, Harnessing Complexity: Organisational Implications of a Scientific Frontier (Free Press, 2000)
J. Barksdale, https://www.goodreads.com/quotes/655987-if-we-have-data-let-s-look-at-data-if-all (2015)
A.B. Çambel, Applied Chaos Theory: A Paradigm for Complexity (Academic Press, 1993)
D. Christian, Origin Story: A Big History of Everything (Little, Brown and Company, New York, 2018).
P. DeGennaro, The power of cognitive maneuver: don’t underestimate its value. Small Wars J. (2017)
Department of Defense, Joint concept for human aspects of military operations (JC-HAMO) (2016)
Department of Defense, Joint concepts for operating in the information environment (JCOIE) (2018)
Department of Defense, Summary of the 2018 Department of Defense artificial intelligence strategy: harnessing AI to advance our security and prosperity. JAIC (2018)
J.M. Epstein, R. Axtel, Growing artificial societies: social science from the bottom up (Brookings Institution Press, 1996)
P.R. Ehrlich, P.H. Raven, Butterflies and plants: a study in co-evolution. Evolution 18, 586–608 (1964)
Forbes India, The first human genome project took 12 years, technology can now do it in 3 days (2019). https://www.forbesindia.com/article/one-ceo-club/the-first-human-genome-project-took-12-years-technology-can-now-do-it-in-3-days/58961/1
M. Gell-Mann, What is Complexity? (Complexity Journal, 1995)
M. Gladwell, Outliers: The Story of Success (Little, Brown and Company, New York, 2008).
J. Gleick, Chaos: Making a New Science (McDonald & Co, Cardinal, 1987).
L. Grossman, 2045 the year man becomes immortal. Time Magazine (2011)
E.L. Haugland, Future military intelligence CONOPS and S&T investment roadmap 2035–2050: the Cognitive War (NSI Team, 2019)
R. Hausmann et al., The Atlas of Economic Complexity (MIT Press, Cambridge, 2014).
D. Hernandez, T. Brown, AI and efficiency. OpenAI (2020).https://openai.com/blog/ai-and-efficiency/#rf3
J. Holland, Hidden Order: How Adaptation Builds Complexity (Addison Wesley, Boston, 1995).
J. Holland, Emergence: From Chaos to Order (Addison Wesley, Boston, 1998).
Human Dimension Capabilities Development Task Force (HDCDTF), Cross-cultural competence: overview of cross‐cultural training theory and practice for the army. US Army (2015)
International Business Machines, Six reasons to update your data science (2020). https://www.ibm.com/analytics/data-science
International Data Corporation, The digital universe of opportunities (2014). https://www.emc.com/leadership/digital-universe/2014iview/index.htm
S. Kauffman, Investigations (Oxford University Press, Oxford, 2000).
V.A.W.J. Marchau et al., Decision Making Under Deep Uncertainty from Theory to Practice (Springer, New York, 2019).
B. McKelvey, Self-organization, complexity catastrophe, and microstate models at the edge of chaos, in Variations in Organization Science: In Honor of Donald T. Campbell, ed. by J.A.C. Baum, B. McKelvey (Sage, 1999a)
B. McKelvey, Visionary leadership vs distributed intelligence: strategy, microcoevolution, complexity, in Proceedings of EIASM Workshop, Brussels, June 1999 (1999b)
M. Mitchell, Complexity: A Guided Tour (Oxford University Press, Oxford, 2009).
E. Mitleton-Kelly, Ten principles of complexity & enabling infrastructures in complex systems and evolutionary perspectives on organizations: the application of complexity theory to organizations. Elsevier (2003)
G. Nicolis, I. Prigogine, Exploring Complexity (W.H. Freeman, New York, 1989).
T. Pike, Analysis and artificial intelligence in integrated campaigning. SMA (2020)
RAND, Priority challenges for social and behavioral research and its modeling (2018a)
RAND, Discontinuities and distractions—rethinking security for the year 2040(2018b)
T.C. Redman, Bad data costs the U.S. $3 trillion per year. Harvard Bus. Rev. (2016)
D. Silver et al., Mastering the game of Go without human knowledge. Nature 550, 354–359 (2017)
Statistica, Number of mobile phone users worldwide from 2015 to 2020 (2020a). https://www.statista.com/statistics/274774/forecast-of-mobile-phone-users-worldwide/
Statistica, Internet of Things (IoT) connected devices installed base worldwide from 2015 to 2025 (2020b). https://www.statista.com/statistics/471264/iot-number-of-connected-devices-worldwide/
Strategic Multilayer Assessment White Paper, A cognitive capabilities agenda a multi-step approach for closing DoD’s cognitive capability gap. NSI (2017)
Strategic Multilayer Assessment Annual Conference, The evolving anatomy of conflict in a dynamically changing world. NSI (2019)
Strategic Multilayer Assessment, Complex Adaptive Systems Interview with Dr (Sean Lawson, NSI, 2019).
Strategic Multilayer Assessment Periodic Publication, On the horizon: security challenges at the Nexus of state and non-state actors and emerging/disruptive technologies. NSI (2019)
S.H. Stogatz, Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering (Westview Press, Nashville, 2015).
United States Army Training and Doctrine Command (TRADOC) and the Army Futures Command (AFC), Mad Scientist: Disruption and the Future Operational Environment Conference (2019)
M.M. Waldrop, Complexity: The Emerging Science at the Edge of Order and Chaos (Penguin, London, 1994).
D.J. Watts, S.H. Strogatz, Collective dynamics of ‘small world’ networks. Nature 393(6684), 440–442 (1998)
World Economic Forum, The Global Risks Report, 14th edn (2019)
World Economic Forum, The Global Risks Report, 15th edn (2020)
World Trade Organization, World trade developments, 2018–2019 (2020). https://www.wto.org/english/res_e/statis_e/wts2019_e/wts2019chapter03_e.pdf
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Abdollahian, M. (2021). Surfing the Conflux: Technology, Information Environments and Great Power Competition Convergence. In: Farhadi, A., Masys, A.J. (eds) The Great Power Competition Volume 1. Springer, Cham. https://doi.org/10.1007/978-3-030-64473-4_1
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