中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

7 records (took 0.023 seconds)

    A METHOD FOR OPTIMAL SEARCH ON A TECHNOLOGY LANDSCAPE
    1.
    发明申请
    A METHOD FOR OPTIMAL SEARCH ON A TECHNOLOGY LANDSCAPE 审中-公开
    一种对技术景观进行最佳搜索的方法

    公开(公告)号：WO0013072A3

    公开(公告)日：2000-06-29

    申请号：PCT/US9919916

    申请日：1999-08-31

    Applicant: BIOS GROUP LP ,  KAUFFMAN STUART A ,  LOBO JOSE ,  MACREADY WILLIAM G

    Inventor： KAUFFMAN STUART A ,  LOBO JOSE ,  MACREADY WILLIAM G

    IPC: G06F17/10 ,  G06Q10/00 ,  G06F9/455 ,  G06F17/11 ,  G06F17/50

    CPC classification number: G06Q10/04 ,  G06Q30/0283

    Abstract: Technological change at the film-level has commonly been modeled as random sampling from a fixed distribution of possibilities. Such models, however, typically ignore empirically important aspects of the firm's search process, notably the observation that the present state of the firm guides future innovation. We explicitly treat this aspect of the firm's search for technological improvements by introducing a "technology landscape" (Fig. 6) into an otherwise standard dynamic programming setting where the optimal strategy is to assign a reservation price to each possible technology. Search is modeled as movement, constrained by the cost of innovation, over the technology landscape. Simulations (Fig. 6) are presented on a stylized technology landscape while analytic results are derived using landscapes that are similar to Markov random fields.

    Abstract translation: 电影级别的技术变革通常被模拟为从固定分配可能性的随机抽样。 然而，这种模式通常忽略了企业搜索过程的实证重要方面，特别是对企业目前状况指导未来创新的观察。 我们通过将“技术环境”（图6）引入到其他标准的动态规划设置中，明确地对待公司寻求技术改进的方面，其中最佳策略是为每个可能的技术分配预留价格。 搜索被建模为运动，受创新成本的限制，超过了技术格局。 模拟（图6）呈现在风格化的技术景观上，而分析结果是使用与马尔可夫随机场相似的景观得出的。

    A method for optimal search on a technology landscape
    6.
    发明专利
    A method for optimal search on a technology landscape 未知

    公开(公告)号：AU5699699A

    公开(公告)日：2000-03-21

    申请号：AU5699699

    申请日：1999-08-31

    Applicant: BIOS GROUP LP

    Inventor： KAUFFMAN STUART A ,  LOBO JOSE ,  MACREADY WILLIAM G

    IPC: G06F17/10 ,  G06Q10/00

    Abstract: Technological change at the firm-level has commonly been modeled as random sampling from a fixed distribution of possibilities. Such models, however, typically ignore empirically important aspects of the firm's search process, notably the observation that the present state of the firm guides future innovation. In this paper we explicitly treat this aspect of the firm's search for technological improvements by introducing a "technology landscape" into an otherwise standard dynamic programming setting where the optimal strategy is to assign a reservation price to each possible technology. Search is modeled as movement, constrained by the cost of innovation, over the technology landscape. Simulations are presented on a stylized technology landscape while analytic results are derived using landscapes that are similar to Markov random fields. We find that early in the search for technological improvements, if the initial position is poor or average, it is optimal to search far away on the technology landscape; but as the firm succeeds in finding technological improvements it is optimal to confine search to a local region of the landscape. We obtain the result that there are diminishing returns to search without having to make the assumption that the firm's repeated draws from the search space are independent and identically distributed.

Patent Agency Ranking