Showing papers in "Knowledge Based Systems in 1987"
16 citations
TL;DR: An attempt to apply AI techniques is introduced, and the organization of an expert image analysis system for chromosome classification is described, mainly at a conceptual level, which adopts a hierarchical hypothesize-and-verify paradigm.
Abstract: Automation of chromosome analysis has long been considered as a very difficult task. Efforts to computerize some or all of the procedures using various conventional pattern recognition techniques have had only limited success. In this paper the previous work in this domain is briefly reviewed, with a discussion of the limitations of the existing approaches. An attempt to apply AI techniques is introduced, and the organization of an expert image analysis system for chromosome classification is described, mainly at a conceptual level. Based on the proposed architecture, the low-level processes (segmentation, feature extraction) and the high-level processes (classifications or interpretations) can be carried out in a knowledge-guided fashion with a combinational use of image processing and pattern recognition knowledge, as well as expert chromosome classification knowledge embedded in a rule-based structure. A knowledge-based chromosome image analysis scheme is presented which adopts a hierarchical hypothesize-and-verify paradigm. Example rules are given to illustrate how they can be used in this scheme.
13 citations
TL;DR: An expert system for the selection and preliminary design of engineering earth retaining structures is described and how the knowledge was acquired from textbooks, questionnaires and interviews is described.
Abstract: This paper describes an expert system for the selection and preliminary design of engineering earth retaining structures. It describes the domain and how the knowledge was acquired from textbooks, questionnaires and interviews. Details of the implementation of RETWALL using the expert system shell BUILD are provided, as is a full script of a session.
11 citations
TL;DR: The way in which various forms of commonsense reasoning can be integrated to provide such decisions is described and three structural types of knowledge defined over data, and four strategies for exploiting these structures, are identified.
Abstract: Any intelligent problem solving system should be able, given the known data on a case, to decide whether some item of information is true, false or unknown. In this paper the way in which various forms of commonsense reasoning can be integrated to provide such decisions is described. To this end three structural types of knowledge defined over data, and four strategies for exploiting these structures, are identified. ‘Decide-Status’ integrates the reasoning strategies into a task frame. This frame structure not only integrates the reasoning but also affords the appropriate facilities for providing strategic justifications for its conclusions, if required.
7 citations
TL;DR: The background, functionality, implementation and use of TOP-ONE are described, stressing that applications of knowledge-based systems technology to data processing environments will achieve full success only when existing systems and existing conventional data are incorporated within the applications.
Abstract: Transaction Oriented Prolog-Online Environment is a multi-user, mainframe implementation of the logic programming language Prolog, specially designed and developed for the data processing environment. This article describes the background, functionality, implementation and use of TOP-ONE, stressing that applications of knowledge-based systems technology to data processing environments will achieve full success only when existing systems and existing conventional data are incorporated within the applications.
2 citations