Natalia López, M. Núñez, Ismael Rodríguez, F. Rubio
{"title":"Introducing the golden section to computer science","authors":"Natalia López, M. Núñez, Ismael Rodríguez, F. Rubio","doi":"10.1109/COGINF.2002.1039299","DOIUrl":"https://doi.org/10.1109/COGINF.2002.1039299","url":null,"abstract":"The golden section appears in nature showing that this magical number represents the right answer for finding the optimal solution to many covering problems. We claim that it can also be quite profitable using this number in the context of computer science. This assertion is contrasted by showing how to solve two quite different (classes of) computer science problems on the basis of the golden section. For each problem, an algorithm is given, and its results are compared with those of other methods, showing the advantages of our approach.","PeriodicalId":250129,"journal":{"name":"Proceedings First IEEE International Conference on Cognitive Informatics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126923675","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}
{"title":"Concurrent self-organizing maps for pattern classification","authors":"V. Neagoe, A. Ropot","doi":"10.1109/COGINF.2002.1039311","DOIUrl":"https://doi.org/10.1109/COGINF.2002.1039311","url":null,"abstract":"We present a new neural classification model called concurrent self-organizing maps (CSOM), representing a winner-takes-all collection of small SOM networks. Each SOM of the system is trained individually to provide best results for one class only. We have considered two significant applications: face recognition and multispectral satellite image classification. For the first application, we have used the ORL database of 400 faces (40 classes). With CSOM (40 small linear SOMs), we have obtained a recognition score of 91%, while using a single big SOM one obtains a score of 83.5% only! For second application, we have classified the multispectral pixels belonging to a LANDSAT TM image with 7 bands into seven thematic categories. The experimental results lead to the recognition rate Of 95.29% using CSOM (7 circular SOMs), while with a single big SOM, one obtains a 94.31% recognition rate. Simultaneously, CSOM leads to a significant reduction of training time by comparison to SOM.","PeriodicalId":250129,"journal":{"name":"Proceedings First IEEE International Conference on Cognitive Informatics","volume":"434 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122880570","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}
{"title":"Mining fuzzy rules in a donor database for direct marketing by a charitable organization","authors":"Keith C. C. Chan, Wai-Ho Au, B. Choi","doi":"10.1109/COGINF.2002.1039304","DOIUrl":"https://doi.org/10.1109/COGINF.2002.1039304","url":null,"abstract":"Given a donor database by a charitable organization in Hong Kong, we propose to use a new data mining technique to discover fuzzy rules for direct marketing. The discovered fuzzy rules employ linguistic terms, which are natural for human users to understand because of the affinity with the human knowledge representations, to represent the association relationships revealed in the data. The proposed approach utilizes an objective measure to distinguish interesting associations from uninteresting ones. Furthermore, it allows the ranking of discovered rules according to an uncertainty measure and allows quantitative values to be inferred by the discovered fuzzy rules. The domain expert from the organization is interested at finding how the response of a donor is affected by his demographics (e.g., age, education, occupation, salary, etc.) and his donation histories (e.g., the average yearly donation frequency, the average monthly donation amount, etc.). We applied the proposed approach to the donor database in order-to mine a set of fuzzy rules. The experimental results showed that our approach is able to achieve accurate prediction of donor's response. By examining the discovered rules, the domain expert has found some unexpected patterns and formulated some direct mail strategies for future use.","PeriodicalId":250129,"journal":{"name":"Proceedings First IEEE International Conference on Cognitive Informatics","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131931998","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}
{"title":"Scientific curve classification by combining simple algorithms","authors":"J. Parker","doi":"10.1109/COGINF.2002.1039301","DOIUrl":"https://doi.org/10.1109/COGINF.2002.1039301","url":null,"abstract":"The problem of classifying scientific data, in this case measurements from a respirometer, is addressed. The use of shape and of multiple classification algorithms operating on the same data is discussed. The combination of many diverse methods increases the reliability of the classifier and should allow a wider variety of input data to be processed.","PeriodicalId":250129,"journal":{"name":"Proceedings First IEEE International Conference on Cognitive Informatics","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133111526","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}
{"title":"From embodied cognitive science to synthetic psychology","authors":"Michael R.W. Dawson","doi":"10.1109/COGINF.2002.1039276","DOIUrl":"https://doi.org/10.1109/COGINF.2002.1039276","url":null,"abstract":"One new tradition that has emerged from early research on autonomous robots is embodied cognitive science. This paper describes the relationship between embodied cognitive science and a related tradition, synthetic psychology. It is argued that while both are synthetic, embodied cognitive science is anti-representational while synthetic psychology still appeals to representations. It is further argued that modern connectionism offers a medium for conducting synthetic psychology, provided that researchers analyze the internal representations that their networks develop. Some case studies that illustrate this approach are presented in brief.","PeriodicalId":250129,"journal":{"name":"Proceedings First IEEE International Conference on Cognitive Informatics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131519057","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}
{"title":"Integrating cognitive support with CASE-tools for design recovery","authors":"J. Jahnke","doi":"10.1109/COGINF.2002.1039292","DOIUrl":"https://doi.org/10.1109/COGINF.2002.1039292","url":null,"abstract":"Reverse engineering (RE) activities account for the largest part of current expenses in software maintenance. The RE support provided by existing design tools is limited to simple mappings of idioms in the source code to diagrammatic primitives. Human analysts still have to go through the laborious task of manually detecting patterns and creating higher abstractions. Perhaps the most important challenge in automating RE is to deal with the imperfect knowledge inherently involved in the detection process. Recently, a number of researchers have developed prototypes of design tools with knowledge-based RE capabilities. For several reasons these research prototypes are rarely acceptable for industrial-strength applications. Consequently, innovative technologies often have difficulties reaching their target audience. We try to address this issue by adopting established design tools and extending them with knowledge-based RE functionality. This paper reports on the development of such an extension component and contains a case study that shows the feasibility of this approach.","PeriodicalId":250129,"journal":{"name":"Proceedings First IEEE International Conference on Cognitive Informatics","volume":"10 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120928433","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}
{"title":"A new mathematical notation for describing notion and thought in software design","authors":"Yingxu Wang","doi":"10.1109/COGINF.2002.1039298","DOIUrl":"https://doi.org/10.1109/COGINF.2002.1039298","url":null,"abstract":"Conventional software description is algorithm-based. However, a large part of things in software description are nonalgorithmic and nonfunctional, such as those of system architectures, dynamic behaviors, performance, and quality. Therefore, contemporary concept in software description has been shifted from algorithms to software architectures and behaviors. Software behaviors can be modeled as a 3D representation comprising mathematical operations, event/process timing, and memory manipulation. This paper introduces the real-time process algebra (RTPA) that serves as an expressive notation system for describing thoughts and notions in software design. RTPA is used to address the 3D problem in component-based software description and specification. Case studies on applications of RTPA in component-based software engineering are demonstrated with real-world examples.","PeriodicalId":250129,"journal":{"name":"Proceedings First IEEE International Conference on Cognitive Informatics","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127470374","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}
{"title":"Informatics and distributed representation; taking issue with disembodied realism","authors":"A. Bryant","doi":"10.1109/COGINF.2002.1039279","DOIUrl":"https://doi.org/10.1109/COGINF.2002.1039279","url":null,"abstract":"My paper offers a critique of some of the key assumptions that are prevalent in research and related work in informatics. Many of these have had a constraining effect on conceptual progress in the field, and particularly in areas that seek to include cognition. I deal with the rationalist and realist assumptions, and what has been termed the functionalist view of representation.","PeriodicalId":250129,"journal":{"name":"Proceedings First IEEE International Conference on Cognitive Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124365440","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}
{"title":"Face recognition using a fuzzy-Gaussian neural network","authors":"V. Neagoe, I. Iatan","doi":"10.1109/COGINF.2002.1039318","DOIUrl":"https://doi.org/10.1109/COGINF.2002.1039318","url":null,"abstract":"We present a face recognition approach using a new version of Chen and Teng's (1998) fuzzy neural network, which we have modified from an identifier into a neurofuzzy classifier called fuzzy-Gaussian neural network (FGNN). We have deduced modified equations for training the FGNN. Our presented face recognition cascade has two stages: (a) feature extraction using either principal component analysis (PCA) or the discrete cosine transform (DCT); and (b) pattern classification using the FGNN. We have performed software implementation of the algorithm and experimented the face recognition task for a database of 100 images (10 classes). The recognition score has been 100% (for the test lot) for almost all the considered variants of feature extraction. We have also compared the performances of the FGNN with those obtained using a classical multilayer fuzzy perceptron (FP). We can deduce a significant advantage of the proposed FGNN over FP.","PeriodicalId":250129,"journal":{"name":"Proceedings First IEEE International Conference on Cognitive Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130602327","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}
{"title":"Experience using formal methods for capturing requirements of Web-based applications","authors":"Abdesselam Redouane","doi":"10.1109/COGINF.2002.1039300","DOIUrl":"https://doi.org/10.1109/COGINF.2002.1039300","url":null,"abstract":"The current practice in capturing requirements of Web-based applications is accomplished by an ad-hoc and informal manner. We investigate the use of formal methods to formalize the requirements of a Web-based application. We have used a simple yet powerful Definitional Specification Language (DSL) for this task. DSL is based on first order predicate calculus, and has three main concepts: a resource, a transitional, and a state type. These concepts help in specifying dynamic behaviors and the resultant specification is clear with no cumbersome manipulation of time variables. A brief description of DSL is given before we provide the informal requirements of our Web-based application. We formalize the requirements using DSL and describe how this is done. We conclude that the benefits gained with such formalization have made the development clear and minimized the cycle of fix-and-test.","PeriodicalId":250129,"journal":{"name":"Proceedings First IEEE International Conference on Cognitive Informatics","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134228083","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}