National security as a socio/computational process

Corporate Strategies under International Terrorism and Adversity

Volumn , Issue , 2006, Pages 38-55

  Boisot, Max ^a   McKelvey, Bill ^b  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84882034406     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (26)

1. Anthony, M. and P.L. Bartlett (1999), Neural Network Learning: Theoretical Foundations, New York: Cambridge University Press.
2. Ashby, W.R. (1956), An Introduction to Cybernetics, London: Chapman & Hall.
3. Ashby, W.R. (1962), 'Principles of the self-organizing system', in H. von Foerster and G.W. Zopf (eds), Principles of Self-Organization, New York: Pergamon, pp. 255-78.
4. Bénard, H. (1901), 'Les tourbillons cellulaires dans une nappe Liquide transportant de la chaleur par convection en régime permanent', Annales de Chimie et de Physique, 23, 62-144.
5. Berlekamp, E., J.H. Conway and R.K. Guy (1982), Winning Ways, London: Academic Press.
6. Boisot, M. (1998), Knowledge Assets, New York: Oxford University Press.
7. Boisot, M. and B. McKelvey (2004), 'Counter-terrorism as neighborhood watch: a socio/computational approach for getting patterns from dots', working paper, The Sol Snider Center, The Wharton School, University of Pennsylvania, Philadelphia, PA.
8. Carley, K.M. (1996), 'A comparison of artificial and human organizations', Journal of Economic Behavior and Organization, 31, 175-91.
9. Carley, K.M. and D.M. Svoboda (1996), 'Modelling organizational adaptation as a simulated annealing process', Sociological Methods and Research, 25, 138-68.
10. Gell-Mann, M. (1994), The Quark and the Jaguar, Freeman, New York.
11. Gilbert, N. and K.G. Troitzsch (1999), Simulation for the Social Scientist, Philadelphia, PA: Open University Press.
12. Hassoun, M.H. (1995), Fundamentals of Artificial Neural Networks, Cambridge, MA: MIT/Bradford Press.
13. Kaplan, D. (2000), Structural Equation Modelling: Foundations and Extensions, Thousand Oaks, CA: Sage.
14. LeBaron, B. (2000), 'Volatility magnification and persistence in an agent based financial market', working paper, Graduate School of International Economics and Finance, Brandeis University, Waltham, MA.
15. McKelvey, B. (2001), 'Energizing order-creating networks of distributed intelligence', International Journal of Innovation Management, 5, 181-212.
16. McKelvey, B. (2003), 'Emergent order in firms: complexity science vs. the entanglement trap', in E. Mitleton-Kelly (ed.), Complex Systems and Evolutionary Perspectives on Organizations, Amsterdam: Elsevier Science, pp. 99-125.
17. McKelvey, B. (2004), 'Toward a 0th law of thermodynamics: order-creation complexity dynamics from physics and biology to bioeconomics', Journal of Bioeconomics, 6, 65-96.
18. McKelvey, B. (2005), 'Microstrategy from macroleadership: distributed intelligence via new science', in A.Y. Lewin and H.W. Volberda (eds), Mobilizing the Self-Renewing Organization, New York: Palgrave/Macmillan.
19. Mitchell, M. (1996), An Introduction to Genetic Algorithms, Boston, MA: MIT Press.
20. Omnès, R. (1999), Understanding Quantum Mechanics, Princeton, NJ: Princeton University Press.
21. Schelling, T.S. (1971), 'Dynamic models of segregation', Journal of Mathematical Sociology, 1, 143-86.
22. Sklar, L. (1995), 'Philosophy of Science', in R. Audi (ed.), The Cambridge Dictionary of Philosophy, Cambridge, UK: Cambridge University Press, pp. 611-15.
23. Strathern, M. (2003), 'The symmetries and redundancies of terror - notes', working paper, Cranfield School of Management, Cranfield University, UK.
24. von Neumann, J. (1951), 'The general and logical theory of automata', in L.A. Jeffress (ed.), Cerebral Mechanisms in Behavior - The Hixon Symposium, New York: Wiley, pp. 1-41.
25. Wasserman, S. and K. Faust (1994), Social Network Analysis: Methods and Applications, New York: Cambridge University Press.
26. Zipf, G.K. (1949), Human Behavior and the Principle of Least Effort: An Introduction to Human Ecology, Cambridge, MA: Addison-Wesley.