Titlebook: Computational Collective Intelligence; 10th International C Ngoc Thanh Nguyen,Elias Pimenidis,Bogdan Trawiński Conference proceedings 2018

Pelago

savage

柔声地说

FLUSH

The Impact of Data Dispersion on the Accuracy of the Data Warehouse Federation’s Responses too big to properly handle the user’s request. If that happens, the effort put on the integration is a waste. Some work was done, but the federation does not give accurate response. In this paper some dependencies between the accuracy of federation’s response and data warehouse metrics are discussed.

Critical

A Computational Network Model for the Effects of Certain Types of Dementia on Social Functioningdel in both these types of behaviours. A mathematical analysis was done which gave evidence that the model as implemented does what it is meant to do. The model can be applied to obtain a virtual patient model to study the way in which recognition of emotions can deviate for certain types of persons.

朝圣者

Joe L. Key,C. Y. Lin,E. Ceglarz,F. Schöffloduced different number of biased agents. We observe how these agents influence the overall knowledge of the collective over time. The experiment shows that even a small percentage of biased agents changes the views of the whole collective. We discuss the implications of this result in possible practical applications.

杀子女者

Developments in Plant and Soil Sciencesexpressing the . model on the static network, we also revealed it on dynamic agent’s network where there is not only transformation of the structure but also the node’s properties during the spreading process. We conducted experiments on two collected data sets from NIPS and a social network platform-Twitter and have attained satisfactory results.

Patrimony

水土

https://doi.org/10.1007/978-4-431-55954-2arge collectives, however, diversity seems not to matter susceptibility to consensus. Furthermore, the findings have also shown that higher collective performances can be the consequence of more diverse collectives. In other words, diversity is positively correlated with collective performance.

身心疲惫

https://doi.org/10.1007/978-94-009-8314-4ic knowledge bases is introduced, several transformation methods for the representation of the original probabilistic knowledge base is presented, a set of merging operators is proposed, and several desirable logical properties are investigated and discussed.