The Complex Dynamics of Technological Innovation: A Comparison of Models Using Cellular Automata

Systems Research and Behavioral Science

Volumn 19, Issue 6, 2002, Pages 563-575

  Leydesdorff, Loet ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

Cellular automaton; Complexity; Innovation; Interpretation; Simulation

Indexed keywords

CELLULAR AUTOMATA;

AUTOMATA THEORY; COMPUTER SIMULATION; SOCIAL ASPECTS;

LARGE SCALE SYSTEMS;

EID: 0036431234     PISSN: 10927026     EISSN: None     Source Type: Journal    
DOI: 10.1002/sres.482     Document Type: Article

References (29)

1. Allen P. 1994. Evolutionary complex systems: models of technology change. In Evolutionary Economics and Chaos Theory: New Directions in Technology Studies, Leydesdorff L, Van den Besselaar P (eds). Pinter: London; 1-17.
2. Arrow KJ. 1962. The economic implications of learning by doing. Review of Economic Studies 29:155-173.
3. Arthur WB. 1988. Competing technologies. In Technical Change and Economic Theory, Dosi G, Freeman C, Nelson R, Silverberg G, Soete L (eds). Pinter: London; 590-607.
4. Arthur WB. 1989. Competing technologies, increasing returns, and lock-in by historical events. Economic Journal 99:116-131.
5. Axelrod R. 1997. The dissemination of culture: a model with local convergence and global polarization. Journal of Conflict Resolution 41: 203-226.
6. Bruckner E, Ebeling W, Jiménez Montaño MA, Scharnhorst A. 1994. Hyperselection and innovation described by a stochastic model of technological evolution. In Evolutionary Economics and Chaos Theory: New Directions in Technology Studies, Leydesdorff L, Van den Besselaar P (eds). Pinter: London; 79-90.
7. Casti J. 1989. Alternate Realities. Wiley: New York.
8. David P. 1985. Clio and the economics of QWERTY. American Economic Review 75(2): 332-337.
9. David PA. 1999. At last, a remedy for chronic QWERTY-skepticism! Paper presented at the European Summer School in Industrial Dynamics, Carsège, 5-12 September.
10. David PA. 2000. Path dependence and varieties of learning in the evolution of technological practice. In Technological Innovation as an Evolutionary Process, Ziman J (ed.). Cambridge University Press: Cambridge, UK; 118-133.
11. Epstein JM, Axtell R. 1996. Growing Artificial Societies: Social Science from the Bottom Up. Brookings Institution Press: Washington, DC.
12. Frenken K. 2000. A complexity approach to innovation networks: the case of the aircraft industry (1909-1997). Research Policy 29(2): 257-272.
13. Kauffman SA. 1993. The Origins of Order: Self-Organization and Selection in Evolution, Oxford University Press: New York.
14. Kauffman SA. 1995. At Home in the Universe. Oxford University Press: Oxford.
15. Langton CG. 1989. Artificial Life. Addison-Wesley: Redwood City, CA.
16. Leydesdorff L. 2000. The triple helix: an evolutionary model of innovations. Research Policy 29(2): 243-255.
17. Leydesdorff L. 2001 a. Technology and culture: the dissemination and the potential 'lock-in' of new technologies. Journal of Artificial Societies and Social Simulation 4(3): paper 5 online at http://jasss.soc.surrey.ac.uk/4/3/5.html
18. Leydesdorff L. 2001b. A Sociological Theory of Communication: The Self-Organization of the Knowledge-Based Society. Universal Publishers: Parkland, FL. Online at http://www.upublish.com/books/leydesdorff.htm
19. Leydesdorff L, Van den Besselaar P. 1998a. Technological development and factor substitution in a non-linear model. Journal of Social and Evolutionary Systems 21(2): 173-192.
20. Leydesdorff L, Van den Besselaar P. 1998b. Competing technologies: lock-ins and lock-outs. In Computing Anticipatory Systems: CASYS - First International Conference, AIP Conference Proceedings 437, American Institute of Physics, Dubois DM (ed.). Woodbury: New York; 309-323.
21. Liebowitz SJ, Margolis SE. 1999. Winners, Losers and Microsoft: Competition and Antitrust in High Technology. Independent Institute: Oakland, CA.
22. Luhmann N. 1984. Soziale Systeme: Grundriß einer allgemeinen Theorie. Suhrkamp: Frankfurt a. M. [Social Systems. Stanford University Press: Stanford, CA, 1995.]
23. Luhmann N. 1984. Soziale Systeme: Grundriß einer allgemeinen Theorie. Suhrkamp: Frankfurt a. M. [Social Systems. Stanford University Press: Stanford, CA, 1995.]
24. Malerba F, Nelson R, Orsenigo L, Winter S. 1999. 'History-friendly' models of industry evolution: the computer industry. Industrial and Corporate Change 8: 3-35. Online at http://www3.oup.co.uk/indcor/hdb/Volume_08/Issue_01/
25. Nelson RR, Winter SG. 1975. Growth theory from an evolutionary perspective: the differential productivity growth puzzle. American Economic Review 65: 338-344.
26. Nelson RR, Winter SG. 1982. An Evolutionary Theory of Economic Change. Belknap Press: Cambridge, MA.
27. Rosen R. 1978. Fundamentals of Measurement and Representation of Natural Systems. Elsevier: New York.
28. Scharnhorst A. 1998. Citation-networks, science landscapes and evolutionary strategies. Scientometrics 43(1): 95-106.
29. Schumpeter J. 1943. Socialism, Capitalism and Democracy. Allen & Unwin: London.