In this thesis we are concerned with managing the time and space efficiency of reasoning about complex devices, involving tasks that span their life-cycle from design to manufacture and maintenance in the field. An integral part of building and maintaining systems involves representing and reasoning with design descriptions for a collection of tasks. These include verifying the correctness of a design, simulating a design to predict the output of the device for a given set of inputs, generating tests to verify the correct operation of a device, and diagnosing a device with a failure. Each of these tasks can be viewed from the AI perspective as reasoning over a collection of facts in a knowledge base.


Search Space Test Generation Abstraction Level Design Formulation Inference Procedure 
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

© Kluwer Academic Publishers 1987

Authors and Affiliations

  • Narinder Singh
    • 1
  1. 1.Stanford UniversityUSA

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