Skip to main content

Intelligence: The Interdependence of Independent Members of Teams

  • Conference paper
  • First Online:
  • 1558 Accesses

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 15))

Abstract

With ad hoc models of individuals that often fail to replicate, social science has been unable to generalize theory into physics models of social reality that benefit the new field of robotic teams. For example, Shannon’s information theory and the social sciences, including economics, assume that the individual observation of individual behavior records the true perceptions of the actual behaviors that have occurred, including for the self-reports of self-observed behavior. In computational social science, this phenomenon has been informally labeled as the “god’s eye view”, indicating that the “computer” within which computational thoughts and actions occur knows immediately whatever thought or action a computational agent holds or takes. In the social sciences this phenomenon allows social scientists to assume that self-reported behavior is actual behavior (e.g., but if true, deception would not exist), justifying the replacement of models of physical behavior with cognitive models. We claim that this assumption is unsupported by the evidence, including the laboratory finding agreeing with religious beliefs that cooperation provides for the best social good. At the heart of these rational, but false, models, interdependence is seen as a constraint (information theory) or experimental confound (cognitive models) that must be overcome to confirm a-theoretical models based on methodological individualism (MI). By replacing MI with quantum-like models, we have found that only a competition among teams establishes social reality; that the sum of non-affiliated individuals, as neutrals, determines the team that best captures reality; and that best performing teams maximize their search of the environment for solutions to the problems they were designed to solve, while the poorer performers search for better mates (e.g., business mergers) or seek to jettison weaker mates (e.g., business spinoffs). We extend these findings with relative entropy to show that poorly performing teams are improperly fitted. We conclude that, like entanglement at the atomic level, interdependence at the social level is the primary resource that ordinary humans exploit to innovate and promote social welfare.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Ahdieh, R.G.: Beyond individualism and economics. https://ssrn.com/abstract=1518836. Accessed 12 May 2009

  2. Ambrose, S.H.: Paleolithic technology and human evolution. Science 291, 1748–1753 (2001). Andrade, G., Stafford, E.: Investigating the economic role of mergers (Working Paper 00-006). Cambridge, MA (1999)

    Google Scholar 

  3. AP: Deadly Gunfire Traded in Kashmir. New York Times, 15 August 2015. http://www.nytimes.com/2015/08/16/world/asia/deadly-gunfire-traded-in-kashmir.html

  4. Arrow, K.J.: A difficulty in the concept of social welfare. J. Polit. Econ. 58(4), 328–346 (1950)

    Article  Google Scholar 

  5. Baker, G.: Michael Hayden Says U.S. Is Easy Prey for Hackers. Former CIA and NSA chief says ‘shame on us’ for not protecting critical information better. Interview by the Wall Street Journal’s editor in chief, 21 June 2015. http://www.wsj.com/articles/michael-hayden-says-u-s-is-easy-prey-for-hackers-1434924058

  6. Barabási, A.L.: Network science: Understanding the internal organization of complex systems. Invited Talk 2012 AAAI Spring Symposium Series, Stanford University, AAAI Publications (2012)

    Google Scholar 

  7. Bohr, N.: Science and the unity of knowledge. In: Leary, L. (ed.) The Unity of Knowledge, pp. 44–62. Doubleday, New York (1955)

    Google Scholar 

  8. Centola, D., Macy, M.: Complex contagions and the weakness of long ties. Am. J. Sociol. 113(3), 702–734 (2007)

    Article  Google Scholar 

  9. Chagnon, N.A.: Life histories, blood revenge, and warfare in a tribal population. Science 243, 985–992 (1998)

    Google Scholar 

  10. Cohen, J.: Science News & Analyses, HIV prevention and cure insights come from failure and success. Science 335, 1291 (2012)

    Article  Google Scholar 

  11. Conant, R.C.: Laws of information which govern systems. IEEE Trans. Syst. Man Cybern. 6, 240–255 (1976)

    Article  MathSciNet  MATH  Google Scholar 

  12. Cummings, J.: Team Science successes and challenges. In: National Science Foundation Sponsored Workshop on Fundamentals of Team Science and the Science of Team Science, Bethesda, MD, 2 June 2015

    Google Scholar 

  13. Cushing, L.: A heavy tale of Kaiser ships, graveyards, and uncles. 19 November 2014. http://kaiserpermanentehistory.org/tag/kaiser-shipyards/

  14. Duhigg, C.: What Google Learned From Its Quest to Build the Perfect Team. New research reveals surprising truths about why some work groups thrive and others falter. New York Times Magazine, 25 February 2016. http://www.nytimes.com/2016/02/28/magazine/what-google-learned-from-its-quest-to-build-the-perfect-team.html

  15. Hackman, J.R.: Six common misperceptions about teamwork. Harvard Business Review blogs (2011).https://hbr.org/2011/06/six-common-misperceptions-abou

  16. Jacobs, A.: Tianjin Officials Struggle to Contain Fallout as Angry Relatives Demand Answers. New York Times, 15 August 2015. http://www.nytimes.com/2015/08/16/world/asia/china-tianjin-blasts-chemical-containment.html

  17. Jones, E.E.: Major developments in five decades of social psychology. In: Gilbert, D.T., Fiske, S.T., Lindzey, G. (eds.) The Handbook of Social Psychology, vol. V1, 4th edn., pp. 3–57. McGraw-Hill, Boston (1998)

    Google Scholar 

  18. Judd, C.M., McClelland, G.H.: Measurement. In: Gilbert, D.T., Fiske, S.T., Lindzey, G. (eds.) The Handbook of Social Psychology, vol. 1, 4th edn., pp. 3–57. McGraw-Hill, Boston (1998)

    Google Scholar 

  19. Kantor, J., Streitfeld, D.: Inside Amazon: Wrestling Big Ideas in a Bruising Workplace. The company is conducting an experiment in how far it can push white-collar workers to get them to achieve its ever-expanding ambitions. New York Times, 15 August 2015. http://www.nytimes.com/2015/08/16/technology/inside-amazon-wrestling-big-ideas-in-a-bruising-workplace.html?_r=0

  20. Kelley, H.H.: Lewin, situations, and interdependence. J. Soc. Issues 47, 211–233 (1992)

    Article  Google Scholar 

  21. Kotter, J.P.: Leading Change: Why Transformation Efforts Fail. Harvard Business Review. https://hbr.org/2007/01/leading-change-why-transformation-efforts-fail/ar/1. January 2007

  22. Lawless, W.F., Akiyoshi, M., Angjellari-Dajcic, F., Whitton, J.: Public consent for the geologic disposal of highly radioactive wastes and spent nuclear fuel. Int. J. Environ. Stud. 71(1), 41–62 (2014)

    Article  Google Scholar 

  23. Lawless, W.F.: Preventing (another) Lubitz: the thermodynamics of teams and emotion. In: Atmanspacher, H., Filk, T., Pothos, E. (eds.) Quantum Interactions, LNCS, vol. 9535, pp. 207–215. Springer, Cham (2016)

    Chapter  Google Scholar 

  24. Lawless, W.F., Sofge, D.A., Chaudron, L., Bartheye, O.: Bistability, Nash equilibria, (relatively) dark collectives and social physics. Modeling the social behavior of teams. J. Enterp. Transform. 5(4), 241–274 (2016)

    Article  Google Scholar 

  25. Lewin, K.: Field Theory and Social Science. Harper, Manhattan (1951)

    Google Scholar 

  26. Martyushev, L.M.: Entropy and entropy production: old misconceptions and new breakthroughs. Entropy 15, 1152–1170 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  27. Newell, A.: Unified Theories of Cognition. Harvard University Press, Cambridge (1994)

    Google Scholar 

  28. Nicolis, G., Prigogine, I.: Exploring Complexity. Freeman, New York (1989)

    MATH  Google Scholar 

  29. Nosek, B.A.: Estimating the reproducibility of psychological science, Science 349(6251), 943-aac4716:1–8. http://www.sciencemag.org/content/349/6251/aac4716.full.pdf (2015)

  30. Paine, N.: The Patriots’ Opponents Won’t Let Spygate Die, But Did It Really Matter? fivethirtyeight, 7 August 2014. http://fivethirtyeight.com/datalab/the-patriots-opponents-wont-let-spygate-die-but-did-it-really-matter/

  31. Cohen, L.: Time-frequency Analysis: Theory and Applications. Prentice Hall Signal Processing Series. Prentice Hall, Upper Saddle River (1995)

    Google Scholar 

  32. Shafir, E., Simonson, I., Tversky, A.: Reason-based choice. Cognition 49, 11–36 (1993)

    Article  Google Scholar 

  33. Rand, D.G., Nowak, M.A.: Human cooperation. Cogn. Sci. 17(8), 413–425 (2013)

    Google Scholar 

  34. Smith, A.: An Inquiry into the Nature and Causes of the Wealth of Nations. University of Chicago Press, Chicago (1776, 1977)

    Google Scholar 

  35. Wissner-Gross, A.D., Freer, C.E.: Causal entropic forces. Phys. Rev. Lett. 110(168702), 1–5 (2013)

    Google Scholar 

  36. Wong, E., Gough, N., Stevenson, A.: In China, a Forceful Crackdown in Response to Stock Market Crisis. New York Times, 9 September 2015. http://www.nytimes.com/2015/09/10/world/asia/in-china-a-forceful-crackdown-in-response-to-stock-market-crisis.html?_r=0

  37. Wickens, C.D.: Engineering Psychology and Human Performance, 2nd edn.. Merrill, Columbus (1992)

    Google Scholar 

  38. WP: White Paper. European governance (COM (2001) 428 final; Brussels, 25.7.2001). Brussels, Commission of European Community (2001)

    Google Scholar 

  39. Zell, E., Krizan, Z.: Do people have insight into their abilities? Perspect. Psych. Sci. 9(2), 111–125 (2014)

    Article  Google Scholar 

Download references

Acknowledgements

The author thanks Ms Kimberly Laraine Yarbrough Butler for her help in editing the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to W. F. Lawless .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Lawless, W.F. (2018). Intelligence: The Interdependence of Independent Members of Teams. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-56994-9_45

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-56994-9_45

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56993-2

  • Online ISBN: 978-3-319-56994-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics