Web Intell. Agent Syst.最新文献_第10页

Utilization of intelligent agents for supporting citizens in their access to e-government services 利用智能代理支援市民使用电子政府服务

Web Intell. Agent Syst. Pub Date : 2007-08-01 DOI: 10.5555/1377776.1377779

P. D. Meo, G. Quattrone, G. Terracina, D. Ursino

引用次数: 8

Context-sensitive text mining and belief revision for intelligent information retrieval on the web 面向网络智能信息检索的上下文敏感文本挖掘与信念修正

Web Intell. Agent Syst. Pub Date : 2003-12-01 DOI: 10.5555/1016416.1016417

Raymond Y. K. Lau

引用次数: 38

Composite match autocompletion (COMMA): A semantic result-oriented autocompletion technique for e-marketplaces 复合匹配自动完成(逗号):用于电子市场的一种面向结果的语义自动完成技术

Web Intell. Agent Syst. Pub Date : 1900-01-01 DOI: 10.3233/WIA-140284

R. Porrini, M. Palmonari, Giuseppe Vizzari

引用次数: 2

Estimating the size and evolution of categorised topics in web directories 估计网络目录中分类主题的大小和演变

Web Intell. Agent Syst. Pub Date : 1900-01-01 DOI: 10.3233/WIA-2010-0179

I. Anagnostopoulos, C. Anagnostopoulos

{"title":"Estimating the size and evolution of categorised topics in web directories","authors":"I. Anagnostopoulos, C. Anagnostopoulos","doi":"10.3233/WIA-2010-0179","DOIUrl":"https://doi.org/10.3233/WIA-2010-0179","url":null,"abstract":"In this paper a statistical approach for estimating the evolution of categorized web page populations in web directories is proposed. The proposal is based on the capture-recapture method used in wildlife biological studies and it is modified according to the necessary assumptions and amendments for conducting the experiments on the web. During these experiments, web pages are likened to animals and the specific categories of web pages are likened to particular species of animals whose abundance, birth and survival rates are estimated. The capture-recapture model followed is a model that allows us to consider the populations under study as open. Thus, in the course of time the population evolves, meaning that new web pages are inserted in the study, while others are removed or become inactive, resembling the natural processes of migration or death. Artificial intelligence classifiers, capable of categorizing web pages, play the role of the biologists who recognize the species under study. In our work, four different simulations were conducted in order to evaluate the robustness of the model followed on the web paradigm, based on four different real classification cases. The paper provides the implementation details of our proposed web-based capture-recapture model, along with its initial assessment.","PeriodicalId":263450,"journal":{"name":"Web Intell. Agent Syst.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120997708","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

Introducing Web Intelligence for communities 为社区引入网络智能

Web Intell. Agent Syst. Pub Date : 1900-01-01 DOI: 10.3233/WIA-2012-0233

L. Vercouter, P. Maret

引用次数: 8

Large-scale cooperative task distribution on peer-to-peer networks 点对点网络上的大规模协作任务分配

Web Intell. Agent Syst. Pub Date : 1900-01-01 DOI: 10.3233/WIA-130263

Daniel R. Karrels, Gilbert L. Peterson, B. Mullins

引用次数: 1

Improving cognitive agent decision making: Experience trajectories as plans 改进认知代理决策:经验轨迹作为计划

Web Intell. Agent Syst. Pub Date : 1900-01-01 DOI: 10.3233/WIA-140296

J. Pfau, Samin Karim, M. Kirley, L. Sonenberg

{"title":"Improving cognitive agent decision making: Experience trajectories as plans","authors":"J. Pfau, Samin Karim, M. Kirley, L. Sonenberg","doi":"10.3233/WIA-140296","DOIUrl":"https://doi.org/10.3233/WIA-140296","url":null,"abstract":"In task environments with large state and action spaces, the use of temporal and state abstraction can potentially improve the decision making performance of agents. However, existing approaches within a reinforcement learning framework typically identify possible subgoal states and instantly learn stochastic subpolicies to reach them from other states. In these circumstances, exploration of the reinforcement learner is unfavorably biased towards local behavior around these subgoals; temporal abstractions are not exploited to reduce required deliberation; and the benefit of employing temporal abstractions is conflated with the benefit of additional learning done to define subpolicies. In this paper, we consider a cognitive agent architecture that allows for the extraction and reuse of temporal abstractions in the form of experience trajectories from a bottom-level reinforcement learning module and a top-level module based on the BDI (Belief-Desire-Intention) model. Here, the reuse of trajectories depends on the situation in which their recording was started. We investigate the efficacy of our approach using two well-known domains – the pursuit and the taxi domains. Detailed simulation experiments demonstrate that the use of experience trajectories as plans acquired at runtime can reduce the amount of decision making without significantly affecting asymptotic performance. The combination of temporal and state abstraction leads to improved performance during the initial learning of the reinforcement learner. Our approach can significantly reduce the number of deliberations required.","PeriodicalId":263450,"journal":{"name":"Web Intell. Agent Syst.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128676971","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

Predicting personality traits of microblog users 预测微博用户的个性特征

Web Intell. Agent Syst. Pub Date : 1900-01-01 DOI: 10.3233/WIA-140295

Shuotian Bai, Sha Yuan, Bibo Hao, T. Zhu

{"title":"Predicting personality traits of microblog users","authors":"Shuotian Bai, Sha Yuan, Bibo Hao, T. Zhu","doi":"10.3233/WIA-140295","DOIUrl":"https://doi.org/10.3233/WIA-140295","url":null,"abstract":"Personality can be defined as a set of characteristics which makes a person unique. Psychological theory suggests that people’s behavior is a reflection of personality. Therefore, it is feasible to predict personality through behavior. Conventional personality assessment is performed by self-report inventory. Participants need to fill in a tedious inventory to get their personality scores. In the large-scale investigation, every returned inventory needs manual computation, which costs much manual efforts and cannot be done in real time. In order to avoid these shortages, this research aims to objectively predict the Big-Five personality from the usage records of Sina Microblog. Since its initial launch in December, 2005, Sina Microblog has been the leading microblogging service provider in China. Millions of users upload and download resources via microblogging status everyday. Therefore, by conducting an online user survey of 444 active users, this paper analyzes the relation modes between personality and online behavior. Furthermore, this research proposes multi-task regression and incremental regression to predict the BigFive personality from online behaviors. The results indicate that correlation factors are significant between different personality dimensions. Besides, our training data set is reliable enough and multi-task regression performs better than other modeling algorithms.","PeriodicalId":263450,"journal":{"name":"Web Intell. Agent Syst.","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129655052","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

Collective iterative allocation: Enabling fast and optimal group decision makingThe role of group knowledge, optimism, and decision policies in distributed coordination 集体迭代分配:使快速和最优的群体决策成为可能。群体知识、乐观主义和决策策略在分布式协调中的作用

Web Intell. Agent Syst. Pub Date : 1900-01-01 DOI: 10.3233/WIA-2010-0177

Christian Guttmann, M. Georgeff, Iyad Rahwan

引用次数: 5

Fuzzy neural Web agents for efficient NBA scouting 高效NBA球探的模糊神经网络代理

Web Intell. Agent Syst. Pub Date : 1900-01-01 DOI: 10.3233/WIA-2008-0128

M. Atlas, Yanqing Zhang

引用次数: 3