Int. J. Artif. Life Res.最新文献_第2页

Modeling Fractal Structure of Systems of Cities Using Spatial Correlation Function 基于空间关联函数的城市系统分形结构建模

Int. J. Artif. Life Res. Pub Date : 2016-06-14 DOI: 10.4018/jalr.2010102102

Yanguang Chen, Shiguo Jiang

引用次数: 23

Can Cognitive Biases in Robots Make More 'Likeable' Human-Robot Interactions than the Robots Without Such Biases: Case Studies Using Five Biases on Humanoid Robot 机器人的认知偏差能比没有这种偏差的机器人更“讨人喜欢”地进行人机交互吗:在人形机器人上使用五种偏差的案例研究

Int. J. Artif. Life Res. Pub Date : 2016-01-01 DOI: 10.4018/IJALR.2016010101

M. Biswas, J. Murray

引用次数: 1

Fractal Top for Contractive and Non-Contractive Transformations 压缩和非压缩变换的分形顶点

Int. J. Artif. Life Res. Pub Date : 2012-10-01 DOI: 10.4018/ijalr.2012100104

Sarika Jain, S. Singh, S. Mishra

引用次数: 9

Soft Computing and Learning Techniques in the Modeling of Humanistic Systems 人文系统建模中的软计算和学习技术

Int. J. Artif. Life Res. Pub Date : 2012-10-01 DOI: 10.4018/ijalr.2012100101

E. Stanley Lee

{"title":"Soft Computing and Learning Techniques in the Modeling of Humanistic Systems","authors":"E. Stanley Lee","doi":"10.4018/ijalr.2012100101","DOIUrl":"https://doi.org/10.4018/ijalr.2012100101","url":null,"abstract":"Although modern computer is the most revolutionary and most powerful tool developed in the twenty's century, it is almost useless for the application of this tool to the not well defined humanistic systems such as politics, law, or even the many hour-to-hour small decisions people make routinely and daily. This is in spite of the fact that the human action of the cognitive band, which is of the order of seconds, is much slower than the speed of the modern computer. In this paper, the author shall first examine the basic differences between the scientific systems and the humanistic systems. Then based on these resulting differences, the author shall propose a neural-soft-computing combined approach, which is naturally suited for the vague and difficult to define humanistic systems. These combined systems are developed during the last approximately twenty years. Yet, it has not applied to the humanistic systems in a systematic and extensive manner. Some of the neural-soft-computing systems, also known as neural-evolutionary operational systems are the combined use of neural network, or support vector machine, with fuzzy system or fuzzy logic and evolutionary operational techniques such as genetic algorithm. Several of these systems are summarized and discussed as to why these systems seem more promising for the handling of humanistic systems. To illustrate the effectiveness of the proposed approaches, several initial applications in the literature are summarized.","PeriodicalId":289669,"journal":{"name":"Int. J. Artif. Life Res.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133617458","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

English to Hindi Paraphrase Convention for Translating Homoeopathy Literature 顺势疗法文学的英北意译惯例

Int. J. Artif. Life Res. Pub Date : 2012-10-01 DOI: 10.4018/ijalr.2012100105

S. Dwivedi, Pramod P. Sukhadeve

引用次数: 7

Lost Student Tracking in an Incomplete and Imprecise Information Environment Using Soft Computing Paradigm 基于软计算范式的不完全不精确信息环境下走失学生追踪

Int. J. Artif. Life Res. Pub Date : 2012-10-01 DOI: 10.4018/ijalr.2012100103

S. Dash, S. Rayaguru, Satchidananda Dehuri, Sung-Bae Cho

{"title":"Lost Student Tracking in an Incomplete and Imprecise Information Environment Using Soft Computing Paradigm","authors":"S. Dash, S. Rayaguru, Satchidananda Dehuri, Sung-Bae Cho","doi":"10.4018/ijalr.2012100103","DOIUrl":"https://doi.org/10.4018/ijalr.2012100103","url":null,"abstract":"In a country like India, the growth rate of the number of academic institutions is at par with the lost student rate. Hence when a lost student is found we need to identify the student on the basis of information such as name of the student, institution name where he studies, class or branch of the student, etc. But the fact is that in most of the cases one never gets complete and precise information to identify a lost student. Hence, in such environment a soft computing model can be an attractive alternative to identify a lost student on the basis of imprecise or partial information. This paper presents a soft computing model for identifying lost student on the basis of imprecise and partial information. In this model student information is represented as a symbolic student object. Symbolic student object is further processed using a fuzzy symbolic model for identifying the lost student. The authors have devised a symbolic knowledge base which acts as a repository of information pertaining to student of different institutions that assist in creating student object and identifying the lost student. A fuzzy technique \"symbolic similarity measure\" is devised for generating symbolic student object and mapping the symbolic student object with student information present in knowledge base. This system has been tested scrupulously and an efficiency of above 90% has been achieved in identifying the lost student.","PeriodicalId":289669,"journal":{"name":"Int. J. Artif. Life Res.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133375071","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

Correctness of Self-Stabilizing Algorithms Under the Dolev Model When Adapted to Composite Atomicity Models Dolev模型下自稳定算法适用于复合原子性模型的正确性

Int. J. Artif. Life Res. Pub Date : 2012-10-01 DOI: 10.4018/ijalr.2012100102

Chih-Yuan Chen, C. Wang, T. C. Huang, Ji-Cherng Lin

引用次数: 13

Usage of Fuzzy, Rough, and Soft Set Approach in Association Rule Mining 模糊、粗糙和软集方法在关联规则挖掘中的应用

Int. J. Artif. Life Res. Pub Date : 2012-07-01 DOI: 10.4018/jalr.2012070105

S. Dash, Satchidananda Dehuri, Uma Kant Sahoo

引用次数: 8

The Social Spiders in the Clustering of Texts: Towards an Aspect of Visual Classification 文本聚类中的社会蜘蛛:视觉分类的一个方面

Int. J. Artif. Life Res. Pub Date : 2012-07-01 DOI: 10.4018/jalr.2012070101

R. M. Hamou, Abdelmalek Amine, Ahmed Chaouki Lokbani