IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Modeling Directod Local Search Strategies on Technology Landscapes and Breadth

  • Valente Houhannisian
Registered author(s):

    No abstract is available for this item.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.unitn.it/files/download/10535/091.pdf
    Our checks indicate that this address may not be valid because: 404 Not Found (http://www.unitn.it/files/download/10535/091.pdf [301 Moved Permanently]--> http://web.unitn.it/files/download/10535/091.pdf). If this is indeed the case, please notify (Roberto Gabriele)


    Download Restriction: no

    Paper provided by Department of Computer and Management Sciences, University of Trento, Italy in its series Quaderni DISA with number 091.

    as
    in new window

    Length:
    Date of creation: Jul 2004
    Date of revision: 17 Jun 2008
    Handle: RePEc:trt:disatr:091
    Contact details of provider: Postal: via Inama, 5 -- I-38100 Trento TN
    Phone: +39-0461-882126
    Fax: +39-0461-882124
    Web page: http://www.unitn.it/disa
    Email:


    More information through EDIRC

    Order Information: Postal: DISA Università degli Studi di Trento via Inama, 5 I-38122 Trento TN Italy
    Web: http://www.unitn.it/disa Email:


    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. M. L. Weitzman & K. Roberts, 1979. "Funding Criteria for Research, Development and Exploration Projects," Working papers 234, Massachusetts Institute of Technology (MIT), Department of Economics.
    2. Giovanni Dosi & Daniel Levinthal & Luigi Marengo, 2001. "Bridging Contested Terrain: Linking Incentive-Based and Learning Perspectives on Organizational Evolution," LEM Papers Series 2001/20, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Karén Hovhannisian, 2004. "Imperfect Local Search Strategies on Technology Landscapes: Satisficing, Deliberate Experimentation and Memory Dependence," Computational Economics 0405009, EconWPA.
    4. Kauffman, Stuart & Lobo, Jose & Macready, William G., 2000. "Optimal search on a technology landscape," Journal of Economic Behavior & Organization, Elsevier, vol. 43(2), pages 141-166, October.
    5. Levinthal, Daniel & March, James G., 1981. "A model of adaptive organizational search," Journal of Economic Behavior & Organization, Elsevier, vol. 2(4), pages 307-333, December.
    6. Weitzman, Martin L, 1979. "Optimal Search for the Best Alternative," Econometrica, Econometric Society, vol. 47(3), pages 641-54, May.
    7. Auerswald, Philip & Kauffman, Stuart & Lobo, Jose & Shell, Karl, 2000. "The production recipes approach to modeling technological innovation: An application to learning by doing," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 389-450, March.
    8. Vishwanath, Tara, 1988. "Parallel Search and Information Gathering," American Economic Review, American Economic Association, vol. 78(2), pages 110-16, May.
    9. Vishwanath, Tara, 1992. "Parallel Search for the Best Alternative," Economic Theory, Springer, vol. 2(4), pages 495-507, October.
    10. Lee Altenberg, 1994. "Evolving Better Representations Through Selective Genome Growth," Working Papers 94-02-008, Santa Fe Institute.
    11. Koen Frenken & Luigi Marengo & Marco Valente, 1999. "Interdependencies, nearly-decomposability and adaption," CEEL Working Papers 9903, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    12. Jan W. Rivkin, 2000. "Imitation of Complex Strategies," Management Science, INFORMS, vol. 46(6), pages 824-844, June.
    13. Sendil K. Ethiraj & Daniel Levinthal, 2004. "Modularity and Innovation in Complex Systems," Management Science, INFORMS, vol. 50(2), pages 159-173, February.
    14. Herbert A. Simon, 1996. "The Sciences of the Artificial, 3rd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262691914, June.
    15. Daniel A. Levinthal, 1997. "Adaptation on Rugged Landscapes," Management Science, INFORMS, vol. 43(7), pages 934-950, July.
    16. Fleming, Lee & Sorenson, Olav, 2001. "Technology as a complex adaptive system: evidence from patent data," Research Policy, Elsevier, vol. 30(7), pages 1019-1039, August.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:trt:disatr:091. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Roberto Gabriele)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.