Titlebook: Artificial Intelligence Applications and Innovations; 10th IFIP WG 12.5 In Lazaros Iliadis,Ilias Maglogiannis,Harris Papadopo Conference pr

特征

憲法沒有

Predicting Information Diffusion Patterns in Twitterof the tweet as well as the user profile that created the initial tweet. Our results show that we can predict the Tweet-Pattern with good accuracy. Moreover, we show that influential networks within the Twitter graph tend to use different Tweet-Patterns.

釋放

Pert敏捷

Extending the Kouretes Statechart Editor for Generic Agent Behavior Developmentunderlying framework is written in C++. This way a user can program physical (robots) or software agents that can be executed on any platform using any compatible software framework. This paper demonstrates the transparent use of the extended KSE in the SimSpark 3D soccer simulation and the Wumpus world.

該得

1868-4238 Innovations, AIAI 2014, held in Rhodes, Greece, in September 2014. The 33 revised full papers and 29 short papers presented were carefully reviewed and selected from numerous submissions. They are organized in the following topical sections: learning-ensemble learning; social media and mobile appli

CANON

寄生蟲

Hierarchic Fuzzy Approach Applied in the Development of an Autonomous Architecture for Mobile Agentsd points. The system establishes a viable route in a scenario with obstacles. Simulations in virtual environment are used to ensure the autonomy of the developed controller. Initial results demonstrate the success of this proposal.

progestogen

degradation

Fall Detection Using Commodity Smart Watch and Smart PhoneAndroid device (i.e a smart phone) and allows the efficient transmission, storage and processing of motion data. The paper includes the details of the stream data capture and processing methodology, along with an initial evaluation of the achieved accuracy in detecting falls.

CURT

Modeling ReTweet Diffusion Using Emotional Contentation of spreading of a new post which could be retweeted by the users in a particular network. The classification model is intended as a tool for sponsors and people of marketing to specify the tweets that spread more in Twitter network.