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Towards Structured software Cognitive complexity measurement with Granular Computing strategies 基于粒度计算策略的结构化软件认知复杂度测量
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250713
Benjapol Auprasert, Y. Limpiyakorn
{"title":"Towards Structured software Cognitive complexity measurement with Granular Computing strategies","authors":"Benjapol Auprasert, Y. Limpiyakorn","doi":"10.1109/COGINF.2009.5250713","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250713","url":null,"abstract":"Cognitive complexity measures quantify human difficulty in understanding the source code based on cognitive informatics foundation. The discipline derives cognitive complexity on a basis of fundamental software factors i.e. inputs, outputs, and internal processing architecture. The invention of Cognitive Functional Size (CFS) stands out as the breakthrough to software complexity measures. Several subsequent research has tried to enhance CFS to fully consider more factors, such as information contents in the form of identifiers and operators. However, these existing approaches quantify the factors separately without considering the relationships among them. This paper presents an approach to integrating Granular Computing into the new measure called Structured Cognitive Information Measure or SCIM. The proposed measure unifies and re-organizes complexity factors analogous to human cognitive process. Empirical studies were conducted to evaluate the virtue of SCIM, including theoretical validation through nine Weyuker's properties. The universal applicability of granular computing concepts is also demonstrated.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132038792","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
Studies on consistence of the knowledge simplification of an uncertain system 不确定系统知识简化的一致性研究
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250765
H. Zeng, Xiaohui Zeng
{"title":"Studies on consistence of the knowledge simplification of an uncertain system","authors":"H. Zeng, Xiaohui Zeng","doi":"10.1109/COGINF.2009.5250765","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250765","url":null,"abstract":"In this paper, we discuss the knowledge redundancy and the knowledge simplification of an uncertain system based on theoretical aspects of rough sets and information entropy. The consistence of analysis on knowledge redundancy and the knowledge simplification is set up. The relationship of information entropy and knowledge significance is drawn on the information dependence of condition attributes and decision condition attributes. A new approach of analysis on knowledge redundancy and the knowledge simplification based on information entropy is presented. The theoretical analysis and the proposed method are validated by some of examples here.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116407620","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
MIC_FS : A novel model for feature selection by mutual information guided by clustering MIC_FS:一种基于聚类的互信息特征选择新模型
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250706
Ming Yang, Ping Yang
{"title":"MIC_FS : A novel model for feature selection by mutual information guided by clustering","authors":"Ming Yang, Ping Yang","doi":"10.1109/COGINF.2009.5250706","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250706","url":null,"abstract":"Feature selection is an important problem for pattern classification systems. There are many methods for feature selection available, in which the feature selection method based on mutual information proposed by authors of Ref.[13] is one of the more effective approaches. However, it is often difficult to compute the mutual information for the continuous data whether using discretization strategy or directly employing density estimation method(e.g., Parzen windows). So, in this paper, we propose a novel model for feature selection by mutual information guided by clustering(MIC_FS). According to MIC_FS, a novel algorithm for feature selection(AMICFS) is introduced. In newly developed algorithm AMICFS, the mutual information between two features can be directly induced by the unsupervised fuzzy c-means clustering, and meanwhile the significance of features and the relevancy between features are simultaneously considered, hence a more effectively ranked feature list can be efficiently obtained in most cases. The experiments on 6 real-life benchmark datasets show that AMICFS is better or comparable as compared to Fisher Score.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126157980","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: 3
Analyzing skill sets with or-relation tables in knowledge spaces 使用知识空间中的或关系表分析技能集
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250759
Feifei Xu, D. Miao, Yiyu Yao, Lai Wei
{"title":"Analyzing skill sets with or-relation tables in knowledge spaces","authors":"Feifei Xu, D. Miao, Yiyu Yao, Lai Wei","doi":"10.1109/COGINF.2009.5250759","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250759","url":null,"abstract":"The disjunctive model of skill map in knowledge spaces can be interpreted based on an or-binary relation table between skills and questions. There may exist skills that are the union of other skills. Omitting these skills will not change the knowledge structure. Finding a minimal skill set may be formulated similar to the problem of attribute reduction in rough set theory, where an and-binary relation table is used. In this paper, an or-relation skill-question table is considered for a disjunctive model of knowledge spaces. A minimal skill set is defined and an algorithm for finding the minimal skill set is proposed. An example is used to illustrate the basic idea.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128215966","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
A high level model of a conscious embodied agent 有意识的具身者的高级模型
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.4018/jssci.2010070105
J. Wiedermann
{"title":"A high level model of a conscious embodied agent","authors":"J. Wiedermann","doi":"10.4018/jssci.2010070105","DOIUrl":"https://doi.org/10.4018/jssci.2010070105","url":null,"abstract":"We describe a simple yet cognitively powerful architecture of an embodied conscious agent. The architecture incorporates a mechanism for mining, representing, processing and exploiting semantic knowledge. This mechanism is based on two complementary internal world models which are built automatically. One model (based on artificial mirror neurons) is used for mining and capturing the “syntax” of the recognized part of the environment while the second one (based on neural nets) for its semantics. Jointly, the models support algorithmic processes underlying phenomena similar in important aspects to higher cognitive functions such as imitation learning and the development of communication, language, thinking and consciousness.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"83 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114334353","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: 10
OpenCogPrime: A cognitive synergy based architecture for artificial general intelligence OpenCogPrime:基于认知协同的通用人工智能架构
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250807
B. Goertzel
{"title":"OpenCogPrime: A cognitive synergy based architecture for artificial general intelligence","authors":"B. Goertzel","doi":"10.1109/COGINF.2009.5250807","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250807","url":null,"abstract":"OpenCogPrime (OCP), a comprehensive architecture for artificial general intelligence (AGI) is briefly overviewed. Aimed in the long term at AGI at the human level and beyond, the current partial implementation of OCP is being used for applications such as controlling virtual pets in virtual worlds and inferring novel conclusions from sets of semantic relations extracted from natural language. The key aspects of OCP are described here in the context of the theoretical foundation of “cognitive synergy theory”; and the current implementation status is briefly reviewed.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"57 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114559347","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: 34
Research on idle speed control for EFI gasoline engine with ETB 带ETB的电喷汽油机怠速控制研究
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250744
Qian Xiong, Jinliang Shi, G. Chen, Zeng Peng
{"title":"Research on idle speed control for EFI gasoline engine with ETB","authors":"Qian Xiong, Jinliang Shi, G. Chen, Zeng Peng","doi":"10.1109/COGINF.2009.5250744","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250744","url":null,"abstract":"This paper researches on some factors that can control engine speed and develop algorithm to control the engine idle speed. By managing the intake air mass and spark advance angle together, this algorithm can make the engine running as stable as possible. Experiments on one vehicle which adopt the electronic control throttle body show that the new control algorithm provides good idle speed control.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130129484","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
Segmentation of consumer's purchase behavior based on neural network 基于神经网络的消费者购买行为分割
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250679
Chong Wang, Yanqing Wang
{"title":"Segmentation of consumer's purchase behavior based on neural network","authors":"Chong Wang, Yanqing Wang","doi":"10.1109/COGINF.2009.5250679","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250679","url":null,"abstract":"The present algorithms for artificial neural network, to a certain extent, have various questions such as computational complexity, low accuracy and narrow scope of application. This paper presents a new algorithm for extracting accurate and comprehensible rules from databases via trained artificial neural network using genetic algorithm. The new algorithm does not depend on the ANN training algorithms; also it does not modify the training results. The genetic algorithm is used to find the optimal values of input attributes (chromosome), Xm, which maximize the output function ϕk of output node k. The function ϕk is nonlinear exponential function. The optimal chromosome is decoded and used to obtain a rule belonging to class k. The good result is achieved by applying the new algorithm to a given database for customers buying MP3.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"41 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133041984","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
Amplification of signal features using variance fractal dimension trajectory 利用方差分维轨迹放大信号特征
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.4018/jcini.2010100101
W. Kinsner, W. Grieder
{"title":"Amplification of signal features using variance fractal dimension trajectory","authors":"W. Kinsner, W. Grieder","doi":"10.4018/jcini.2010100101","DOIUrl":"https://doi.org/10.4018/jcini.2010100101","url":null,"abstract":"This paper describes how the selection of parameters for the variance fractal dimension (VFD) multiscale time-domain algorithm can create an amplification of the fractal dimension trajectory that is obtained for a natural-speech waveform in the presence of ambient noise. The technique is based on the variance fractal dimension trajectory (VFDT) algorithm that is used not only to detect the external boundaries of an utterance, but also its internal pauses representing the unvoiced speech. The VFDT algorithm can also amplify internal features of phonemes. This fractal feature amplification is accomplished when the time increments are selected in a dyadic manner rather than selecting the increments in a unit distance sequence. These amplified trajectories for different phonemes are more distinct, thus providing a better characterization of the individual segments in the speech signal. This approach is superior to other energy-based boundary-detection techniques. These observations are based on extensive experimental results on speech utterances digitized at 44.1 kilosamples per second, with 16 bits in each sample.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117262201","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: 35
Perspectives on Cognitive Informatics and Cognitive Computing: Summary of the Panel of IEEE ICCI'09 认知信息学和认知计算的观点:IEEE ICCI'09小组会议综述
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250815
Yingxu Wang, G. Baciu, Yiyu Yao, Bo Zhang, W. Kinsner, Chu-Ren Huang, Keith C. C. Chan, B. Goertzel, D. Miao, K. Sugawara, Guoyin Wang, Jane You, Du Zhang, Ning Zhong, Haibin Zhu
{"title":"Perspectives on Cognitive Informatics and Cognitive Computing: Summary of the Panel of IEEE ICCI'09","authors":"Yingxu Wang, G. Baciu, Yiyu Yao, Bo Zhang, W. Kinsner, Chu-Ren Huang, Keith C. C. Chan, B. Goertzel, D. Miao, K. Sugawara, Guoyin Wang, Jane You, Du Zhang, Ning Zhong, Haibin Zhu","doi":"10.1109/COGINF.2009.5250815","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250815","url":null,"abstract":"Cognitive Informatics (CI) is a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science that investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. This paper summarizes the presentations of a set of 14 position papers in the ICCI'09 Panel on Cognitive Informatics and Cognitive Computing contributed from invited panelists who are part of the world's renowned researchers and scholars in the field of cognitive informatics and cognitive computing.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130693238","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
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