The 22nd TAAI Conference 2017 Call for Papers

[vincentth...@gmail.com]

Dear all,

The 22nd Conference on Technologies and Applications of Artificial Intelligence (TAAI) 2017 will be held in National Taiwan University, Taipei, Taiwan on December 1-3 2017.

International Call For Papers
The 2017 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2017) is one of the most important annual academic meetings on Artificial Intelligence in Taiwan. The conference in 2017 will focus on the following theme: Achieving excellence through Artificial Intelligence Within the scope of this theme we are seeking paper submissions to address the following topics of particular interest include, but are not limited to:
-Agents
-AI Applications
-AI Architectures
-Automated Reasoning
-Cloud Computing in AI
-Cognitive Modeling
-Computer Games
-Intelligent Environments
-Intelligent Human-Computer Interaction
-Knowledge-Based Systems
-Knowledge Representation
-Logics in AI
-Machine Learning
-Mobile Intelligence
-Computer Supported Collaborative Learning & Personalized Learning
-Natural Language Processing
-Pattern Recognition
-Data Science
-Planning
-Computer Vision
-Data Mining
-Distributed AI
-Evolutionary Computation & Genetic Algorithms
-Probabilistic and Uncertain Reasoning
-Problem Solving and Search
-Robotics
-Fuzzy Systems
-Hybrid Systems
-Information Retrieval
-Semantic Web
-Social Computing
-Speech Recognition and Synthesis
-Intelligent E-Learning & Tutoring
-Ubiquitous Intelligent Applications
-Web Intelligence
-Big Data Analysis

IMPORTANT DATES
Submission deadline Aug. 24, 2017
Acceptance notification Oct. 07, 2017
Camera ready Oct. 21, 2017
Conference Date December 1-3, 2017

Submission Information & Guidelines
The TAAI 2017 paper template shall be used to prepare your full papers in 6 pages and short papers in 4 pages(including graphics, references and).
The papers format should follow IEEE Manuscript Templates for Conference Proceedings to prepare manuscripts.
The papers shall be submitted in English: CMT(https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FTAAI2017) and shall describe original work that has not previously been presented at TAAI.

For more detailed information, please refer:
https://www.csie.ntu.edu.tw/~taai2017/cfp.html