[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence最新文献

筛选
英文 中文
Neural logic programming 神经逻辑程序设计
T. J. Reynolds, H. Teh, B. Low
{"title":"Neural logic programming","authors":"T. J. Reynolds, H. Teh, B. Low","doi":"10.1109/TAI.1990.130385","DOIUrl":"https://doi.org/10.1109/TAI.1990.130385","url":null,"abstract":"The authors propose a programming system that combines pattern matching of Prolog with a novel approach to logic and the control of resolution. A network of nodes and arcs together with a three-valued logic is used to indicate the connections between predicates and their consequents, and to express the flow from facts and propositions of a theory to its theorems. In this way, one can handle uncertainty and negation properly in this 'neural logic network.' A neural logic program consists of a specification of network fragments, labeled with predicates and arc weights, and they can be joined dynamically to form a tree of reasoning chains. The architecture of the neural logic computational model is left open and the authors do not intend the model to be interpreted literally as a physical architecture.<<ETX>>","PeriodicalId":366276,"journal":{"name":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133853251","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: 9
On the application of stratification to requirement specifications 论分层在需求规范中的应用
D. Cooke, A. Gates
{"title":"On the application of stratification to requirement specifications","authors":"D. Cooke, A. Gates","doi":"10.1109/TAI.1990.130434","DOIUrl":"https://doi.org/10.1109/TAI.1990.130434","url":null,"abstract":"The importance of stratification to automatic program generation is considered. Stratification of the variables of a weak specification seems to hold promise in the determination of the variable type, as well as in providing guarantees concerning the consistency, completeness, and ambiguity (or lack thereof) of the requirements specification.<<ETX>>","PeriodicalId":366276,"journal":{"name":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133857416","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
Relationships in an object knowledge representation model 对象知识表示模型中的关系
José Escamilla, Patrice Jean
{"title":"Relationships in an object knowledge representation model","authors":"José Escamilla, Patrice Jean","doi":"10.1109/TAI.1990.130411","DOIUrl":"https://doi.org/10.1109/TAI.1990.130411","url":null,"abstract":"SHOOD, an object-oriented model, in which every attribute is a relationship, is discussed. Vertical relationships structuring knowledge (e.g., specialization) and horizontal relationships linking pieces of knowledge (e.g., composition) are distinguished. Here, object hierarchies (vertical) and interobject links (horizontal) are treated equally. Often, only one of these aspects is fully developed. It is suggested that vertical and horizontal relationships can be the basis of an object knowledge representation system.<<ETX>>","PeriodicalId":366276,"journal":{"name":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","volume":"82 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114012109","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: 11
A hybrid knowledge representation as a basis of requirement specification and reasoning 作为需求说明和推理基础的混合知识表示
J. Tsai, T. Weigert, Hung-Chin Jang
{"title":"A hybrid knowledge representation as a basis of requirement specification and reasoning","authors":"J. Tsai, T. Weigert, Hung-Chin Jang","doi":"10.1109/TAI.1990.130312","DOIUrl":"https://doi.org/10.1109/TAI.1990.130312","url":null,"abstract":"A hybrid knowledge representation technique is presented which is used as a basis of a requirement specification language FRORL, (frame-and-rule oriented requirements specification language). To easily represent the structure and behavior of a software system, the syntax of FRORL is based on the concepts of frames and production rules. The semantic interpretation of the FRORL language is defined using Horn-clause logic augmented with the concept of multiple inheritance. The completeness and soundness of the hybrid knowledge representation technique are proved. Based on the full machinery of Horn-clause logic, the FRORL specification modeling the world can be checked against the known constraints of a given domain, and the known facts pertaining to the software system.<<ETX>>","PeriodicalId":366276,"journal":{"name":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121078917","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: 4
Automatic elicitation of interactive rules from data with exceptions using TMS 使用TMS从具有异常的数据中自动提取交互式规则
T. Yamazaki
{"title":"Automatic elicitation of interactive rules from data with exceptions using TMS","authors":"T. Yamazaki","doi":"10.1109/TAI.1990.130316","DOIUrl":"https://doi.org/10.1109/TAI.1990.130316","url":null,"abstract":"A method for eliciting interactive rules from data with exceptions is described. This method consists of the following three steps: create a hypothesis set (rule candidates); remove exceptional data; and choose the appropriate hypothesis. For the knowledge elicitation procedure, a TMS (truth maintenance system) is useful in choosing an appropriate hypothesis and detecting exceptional data candidates. The advantage in using TMS is that rules can be incrementally elicited from the data. The validity of this method is evaluated using a simple system which elicits rules about chemical reactions from a practical chemical reaction database. A comparison of results for this method and a statistical method shows that it is more useful in eliciting interactive rules.<<ETX>>","PeriodicalId":366276,"journal":{"name":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122551277","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: 0
The neural shell: a neural network simulation tool The neural shell:一个神经网络仿真工具
S. Ahalt, P. Chen, Cheng-Tao Chou
{"title":"The neural shell: a neural network simulation tool","authors":"S. Ahalt, P. Chen, Cheng-Tao Chou","doi":"10.1109/TAI.1990.130320","DOIUrl":"https://doi.org/10.1109/TAI.1990.130320","url":null,"abstract":"A neural network simulator, the neural shell was developed to simplify the design and use of neural networks. The neural shell is a prototyping environment which runs on workstations and additionally supports the execution of large neural-network simulations on Cray supercomputers. Descriptions are given of the Neural Shell Window, the configuration window, the graphics display window, file requirements and the self-documentation facility.<<ETX>>","PeriodicalId":366276,"journal":{"name":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126191380","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: 7
KNOWBEL: a hybrid expert system building tool KNOWBEL:混合专家系统构建工具
J. Mylopoulos, Huaiqing Wang, A. Kushniruk
{"title":"KNOWBEL: a hybrid expert system building tool","authors":"J. Mylopoulos, Huaiqing Wang, A. Kushniruk","doi":"10.1109/TAI.1990.130451","DOIUrl":"https://doi.org/10.1109/TAI.1990.130451","url":null,"abstract":"KNOWBEL is a tool offering the knowledge representation language Telos and the logic programming system MRS for the development of an expert system. Telos is a tightly integrated hybrid knowledge representation scheme, offering facilities for structuring a knowledge base as well as an assertional sublanguage for expressing deductive rules and integrity constraints. Unlike Prolog, MRS provides facilities for customizing an expert system inference engine. The KNOWBEL architecture clearly separates the knowledge and implementation levels for a knowledge base and its associated operations. KNOWBEL also supports temporal reasoning, extensive constraint enforcement, and a user-friendly window-based interface.<<ETX>>","PeriodicalId":366276,"journal":{"name":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125215150","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: 1
A knowledge-based environment for assessment of color similarity 基于知识的色彩相似度评估环境
E. Binaghi, A. Ventura, A. Rampini, R. Schettini
{"title":"A knowledge-based environment for assessment of color similarity","authors":"E. Binaghi, A. Ventura, A. Rampini, R. Schettini","doi":"10.1109/TAI.1990.130436","DOIUrl":"https://doi.org/10.1109/TAI.1990.130436","url":null,"abstract":"A discussion is given on a knowledge-based approach to the representation and implementation of the similarity evaluation of colors; all the aspects involved in color description and the relationships between color descriptions and similarity judgments may be explicitly represented in a quantitative, rigorous and reliable way. The authors choose CIELUV, which provides a flexible and powerful numerical description of color appearance, as the color description space and fuzzy logic as the knowledge representation language for modelling human judgments in the universe of discourse of CIELUV measures. An explanatory example of color image retrieval based on similarity measure is provided to aid the presentation of tools and strategies of the knowledge-based environment.<<ETX>>","PeriodicalId":366276,"journal":{"name":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126407381","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: 5
A knowledge-based graphic description tool for understanding engineering drawings 用于理解工程图纸的基于知识的图形描述工具
Yong-Qing Cheng, Jing-Yu Yang
{"title":"A knowledge-based graphic description tool for understanding engineering drawings","authors":"Yong-Qing Cheng, Jing-Yu Yang","doi":"10.1109/TAI.1990.130439","DOIUrl":"https://doi.org/10.1109/TAI.1990.130439","url":null,"abstract":"A knowledge-based graphic description tool (KGDT) that is used to recognize and understand engineering drawings is described. This tool basically consists of a concept description network, a graphic description language, a physical description framework, a set of image processing modules, a matcher, a rule-based inference engine, an interpreter, and a blackboard control architecture. The matcher recognizes all graphic symbols and characters in the engineering drawing based on the various properties of the different graphic symbols and characters that are extracted by the low-level image processing routines. The rule-based inference engine is built to infer possible relations among graphic symbols and generate a relational graph. The interpreter is used to generate an acceptable explanation in terms of traversal of the relational graph. The interactions among the interpreter, the matcher, the inference engine, and the image processing routines are controlled by the blackboard control architecture.<<ETX>>","PeriodicalId":366276,"journal":{"name":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127382345","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: 4
A neural architecture applied to the enhancement of noisy binary images without prior knowledge 一种应用于无先验知识的噪声二值图像增强的神经结构
F. Shih, J. Moh, Henry Bourne
{"title":"A neural architecture applied to the enhancement of noisy binary images without prior knowledge","authors":"F. Shih, J. Moh, Henry Bourne","doi":"10.1109/TAI.1990.130423","DOIUrl":"https://doi.org/10.1109/TAI.1990.130423","url":null,"abstract":"The authors present the formulation of an improved neural architecture, a modified adaptive resonance theory (ART), for the enhancement of binary images in the presence of noise. The two-layer ART model developed by G.A. Carpenter and S. Grossberg (1987) is further incorporated into a four-layer network. The operation and performance of ART1 in classifying binary input patterns is first investigated. Based on ART1, a noise filtering architecture is devised whereby preestablished recognition categories are used as region or contour detection exemplars in order to fill in the gaps and smooth the contours of a noisy binary image without any prior knowledge of the image itself.<<ETX>>","PeriodicalId":366276,"journal":{"name":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116771229","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: 9
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信