Knowledge Acquisition最新文献

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Locating generic tasks 定位通用任务
Knowledge Acquisition Pub Date : 1993-12-01 DOI: 10.1006/KNAC.1993.1016
K. O’Hara, N. Shadbolt
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引用次数: 12
Knowledge acquisition techniques for group decision support 群体决策支持的知识获取技术
Knowledge Acquisition Pub Date : 1993-12-01 DOI: 10.1006/KNAC.1993.1015
J. Boose, J. Bradshaw, J. Koszarek, D. B. Shema
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引用次数: 25
Operator effects in the choice of certainty factor algebras: an experimental study 确定性因子代数选择中的算子效应:实验研究
Knowledge Acquisition Pub Date : 1993-12-01 DOI: 10.1006/KNAC.1993.1014
C. Holsapple, W. Rayens, Jen-Her Wu
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引用次数: 1
Supporting preprocessing and postprocessing for machine learning algorithms: a workbench for ID3 支持机器学习算法的预处理和后处理:ID3的工作台
Knowledge Acquisition Pub Date : 1993-12-01 DOI: 10.1006/knac.1993.1013
Charalambos Tsatsarakis, D. Sleeman
{"title":"Supporting preprocessing and postprocessing for machine learning algorithms: a workbench for ID3","authors":"Charalambos Tsatsarakis,&nbsp;D. Sleeman","doi":"10.1006/knac.1993.1013","DOIUrl":"https://doi.org/10.1006/knac.1993.1013","url":null,"abstract":"<div><p>Inductive learning algorithms have been suggested as alternatives to knowledge acquisition for expert systems. However, the application of machine learning algorithms often involves a number of subsidiary tasks to be performed as well as algorithm execution itself. It is important to help the domain expert manipulate his or her data so they are suitable for a specific algorithm, and subsequently to assess the algorithm results. These activities are often called preprocessing and postprocessing. This paper discusses issues related to the application of the ID3 algorithm, an important representative of the inductive learning family. A prototype workbench which has been developed to provide an integrated approach to the application of ID3 is presented. The design rationale and the potential use of the system is justified. Finally, future directions and further enhancements of the workbench are discussed.</p></div>","PeriodicalId":100857,"journal":{"name":"Knowledge Acquisition","volume":"5 4","pages":"Pages 367-383"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/knac.1993.1013","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72083281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Knowledge acquisition techniques for group decision support 群体决策支持的知识获取技术
Knowledge Acquisition Pub Date : 1993-12-01 DOI: 10.1006/knac.1993.1015
John H. Boose, Jeffrey M. Bradshaw, Joseph L. Koszarek, David B. Shema
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引用次数: 25
Operator effects in the choice of certainty factor algebras: an experimental study 确定性因子代数选择中的算子效应的实验研究
Knowledge Acquisition Pub Date : 1993-12-01 DOI: 10.1006/knac.1993.1014
Clyde W. Holsapple, William S. Rayens, Jen-Her Wu
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引用次数: 1
Locating generic tasks 定位常规任务
Knowledge Acquisition Pub Date : 1993-12-01 DOI: 10.1006/knac.1993.1016
Kieron O'Hara, Nigel Shadbolt
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引用次数: 13
A multi-functional knowledge management system 一个多功能的知识管理系统
Knowledge Acquisition Pub Date : 1993-09-01 DOI: 10.1006/knac.1993.1011
Douglas Skuce
{"title":"A multi-functional knowledge management system","authors":"Douglas Skuce","doi":"10.1006/knac.1993.1011","DOIUrl":"https://doi.org/10.1006/knac.1993.1011","url":null,"abstract":"<div><p>We describe a general purpose knowledge management system, discussing its general goals and features, as well as its use in several very different applications. By \"multi-functional\", we mean having a wide variety of knowledge management functions such as debugging, formatting, and retrieval, and a wide variety of possible applications. The system, called CODE, functions primarily as a \"knowledge engineer's rapid prototyper\", or as a \"spreadsheet for ideas\"; one can experiment rapidly with relationships between concepts and obtain quick feedback on the desirability of changes and additions to a knowledge base. CODE's highly graphic interface permits experimentation with descriptions or definitions of concepts, which are arranged in an inheritance network using a very flexible inheritance mechanism. Several associated subsystems, such as a first order logic system and a simple natural language system, allow various types of syntactic and semantic checks to be performed if desired. We illustrate CODE's flexibility by describing three typical applications: in software engineering, terminology, and ontological design for knowledge-based systems.</p></div>","PeriodicalId":100857,"journal":{"name":"Knowledge Acquisition","volume":"5 3","pages":"Pages 305-346"},"PeriodicalIF":0.0,"publicationDate":"1993-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/knac.1993.1011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72123024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
Providing descriptive power to guided self-elicitation 为引导性自我启发提供描述性力量
Knowledge Acquisition Pub Date : 1993-09-01 DOI: 10.1006/knac.1993.1012
Glenn G. Shephard
{"title":"Providing descriptive power to guided self-elicitation","authors":"Glenn G. Shephard","doi":"10.1006/knac.1993.1012","DOIUrl":"https://doi.org/10.1006/knac.1993.1012","url":null,"abstract":"<div><p>Recent exploratory research developed and tested a guided self-elicitation (GSE) methodology. With GSE, an expert is enabled to capture his/her own performed expertise as production rule-instances. GSE is based on published cognitive research, using a production system view of conscious cognitive information processing and certain demonstrated human abilities: for identifying and categorizing perception, rehearsing and reconstituting prior thought processes and verbal reporting of concurrent cognitive information processing. Experimentally self-elicited decision analyst expertise (leading subjective probability assessment interviews) demonstrates that performed expertise can consist of complex rule-processed knowledge forms. An object model for representing complex knowledge forms is proposed and discussed.</p></div>","PeriodicalId":100857,"journal":{"name":"Knowledge Acquisition","volume":"5 3","pages":"Pages 347-366"},"PeriodicalIF":0.0,"publicationDate":"1993-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/knac.1993.1012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72123025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Models: toward integrated knowledge modeling environments 模型:面向集成知识建模环境
Knowledge Acquisition Pub Date : 1993-09-01 DOI: 10.1006/knac.1993.1010
Mihai Barbuceanu
{"title":"Models: toward integrated knowledge modeling environments","authors":"Mihai Barbuceanu","doi":"10.1006/knac.1993.1010","DOIUrl":"https://doi.org/10.1006/knac.1993.1010","url":null,"abstract":"<div><p>Building knowledge-based problem solvers requires an intellectually challenging modeling stage whose dominance over other activities is now widely recognized. In spite of this, current languages and environments leave the modeling activity on the shoulders of the human, concentrating on the routine programming aspect. Next generation languages and tools will have to explicitly support modeling in the first place. This paper presents a proposal for such a next generation knowledge modeling environment and discusses some steps we have made in this direction. Unlike existing programming environments, knowledge modeling environments focus on manipulating explicit, declarative specifications of problem-solving models which must be acquired, organized, modified, explained, validated, simulated and, eventually, translated into performance computer languages. Programming is only one of the activities supported in such an environment. This paper also discusses the knowledge modeling language we have developed as the foundation of the modeling environment. This language extends term classification technology with refinement, constraints, patterns and events, actions and methods, in order to support the description of both domain and control specifications required by problem-solving models. To substantiate the claims about the adequacy of the language, the paper presents two important modeling applications. The first is developing a full KADS language on top of it and the second is modeling a well known generic problem solving method, \"propose-and-revise\".</p></div>","PeriodicalId":100857,"journal":{"name":"Knowledge Acquisition","volume":"5 3","pages":"Pages 245-304"},"PeriodicalIF":0.0,"publicationDate":"1993-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/knac.1993.1010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72071077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 19
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