Titlebook: Interactive Collaborative Information Systems; Robert Babu?ka,Frans C. A. Groen Book 2010 Springer-Verlag Berlin Heidelberg 2010 Bayesian

Maudlin

書目名稱Interactive Collaborative Information Systems影響因子(影響力)




書目名稱Interactive Collaborative Information Systems影響因子(影響力)學(xué)科排名




書目名稱Interactive Collaborative Information Systems網(wǎng)絡(luò)公開度




書目名稱Interactive Collaborative Information Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Interactive Collaborative Information Systems被引頻次




書目名稱Interactive Collaborative Information Systems被引頻次學(xué)科排名




書目名稱Interactive Collaborative Information Systems年度引用




書目名稱Interactive Collaborative Information Systems年度引用學(xué)科排名




書目名稱Interactive Collaborative Information Systems讀者反饋




書目名稱Interactive Collaborative Information Systems讀者反饋學(xué)科排名

fertilizer

Efficient Methods for Near-Optimal Sequential Decision Making under Uncertaintyhms for making near-optimal sequential decisions under uncertainty about the environment. Due to the uncertainty, such algorithms must not only learn from their interaction with the environment but also perform as well as possible while learning is taking place.

類型

Map-Based Support for Effective Collaboration in Micro-mobile Virtual Teamsealing maxim “two heads are better than one.” Sometimes the job requires bringing people together who are dispersed across different geographical locations to work on a common task using information and communication technologies. These teams are often called virtual teams [36].

幾何學(xué)家

Robert Babu?ka,Frans C. A. GroenRecent Results in Interactive Collaborative Information Systems

煞費(fèi)苦心

Studies in Computational Intelligencehttp://image.papertrans.cn/i/image/470470.jpg

PANIC

978-3-642-26320-0Springer-Verlag Berlin Heidelberg 2010

逢迎春日

Interactive Collaborative Information Systems978-3-642-11688-9Series ISSN 1860-949X Series E-ISSN 1860-9503

調(diào)整校對(duì)

1860-949X f technology in decision making. Human decision making has its li- tations in terms of information-processing capacity. We need new technology to cope with the increasingly complex and information-rich nature of our modern society. This is particularly true for critical environments such as crisis m

Minatory

Adaptive Hierarchical Multi-agent Organizationsarch and rescue task in the RoboCupRescue simulation environment. The first two of these organizations are static, and the third is able to adapt its structure. An empirical study on the performance of these three organizations shows that the dynamic organization performs better than the two static organizations.

CLEAR

Context-Aware Multimodal Human–Computer Interactionnt views of crises suffer from problems identified in [60]: (a) the setting of events is constantly changing, (b) the information is distributed across geographically distant locations, and (c) the complexity of the crisis management organization makes it difficult and time consuming to collaborate and verify obtained information.