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Download PDF by Dieter Fensel: Problem-Solving Methods: Understanding, Description,

By Dieter Fensel

ISBN-10: 3540678166

ISBN-13: 9783540678168

This publication presents a conception, a proper language, and a realistic technique for the specification, use, and reuse of problem-solving equipment. The framework built via the writer characterizes knowledge-based platforms as a selected kind of software program structure the place the purposes are constructed through integrating wide-spread job requirements, challenge fixing equipment, and area versions: this technique turns wisdom engineering right into a software program engineering self-discipline. All in all, this paintings, as an appropriate thought of information engineering, consolidates learn paintings performed in the course of numerous a long time. the current acclaim for Internet-based providers will supply unparalleled possibilities for deploying and sharing knowledge-based prone and anyone desirous to perform this region can examine from this booklet what wisdom engineering is set.

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Problem-Solving Methods: Understanding, Description, - download pdf or read online

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Extra resources for Problem-Solving Methods: Understanding, Description, Development, and Reuse

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These assumptions put restrictions on the context of the problem-solving method, such as the domain knowledge and the possible inputs of the method or the precise definition of the goal to be achieved when applying the 7) Actually the single-fault assumption can also be viewed as a requirement on domain knowledge to represent each possible fault as a single fault (compare [Davis, 1984] and later discussions). 20 1 Making Assumptions for Efficiency Reasons problem-solving method. These restrictions enable reasoning to be performed in an efficient manner.

A chip with four ports can cause faults on each port. When we know that the individual ports never fail but only the chip as a whole, a fault on four ports can be represented as one fault of the chip. Even without such a representation change, we do not necessarily have to represent all possible fault combinations. We could, for example, exclude all combinations that are not possible or likely in the specific domain (expert knowledge). • Instead of formulating the above requirement on the domain knowledge, we can also weaken the task definition by this assumption.

One of the main principles underlying model-based diagnosis [Davis, 1984] is the use of a domain model (called Structure, Behavior, Function (SBF) models in [Chandrasekaran, 1991]). Heuristic knowledge that links symptoms with causes is no longer necessary in these systems. The domain model is used for predicting the desired device behavior, which is then compared with the observed behavior. A discrepancy indicates a symptom. General reasoning techniques such as constraint satisfaction or truth maintenance can be used to derive diagnoses that explain the actual behavior of the device using its model.

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Problem-Solving Methods: Understanding, Description, Development, and Reuse by Dieter Fensel


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