• Eugene Fink
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 110)


Abstraction search dates back to the early days of artificial intelligence. The central idea is to identify important aspects of a given problem, construct a solution outline that ignores less significant aspects, and use it to guide the search for a complete solution. The applications of this approach take different shapes, and their utility varies widely across systems and domains. The related analytical models give disparate efficiency predictions for specific abstraction techniques; however, researchers agree that a proper abstraction can enhance almost all search systems.


Primary Effect Inference Rule Component Graph Abstract Solution Logistics Domain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Eugene Fink
    • 1
  1. 1.Computer Science and EngineeringUniversity of South FloridaTampaUSA

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