AAAI——C4P推荐指数
难 度：★★★★★
权 威：★★★★★
关注度：★★★★★
无论AAAI这个会议你是否熟悉，乍一看这简称就不由得感觉牛逼（有种被triple kill的感觉，还有IEEE等）。
AAAI，即The Associationfor Advancement of Artificial Intelligence（国际人工智能协会）的简称，该组织每年举办的学术会议AAAI Conference on Artificial Intelligence是该领域公认的权威性顶级会议，会议也以AAAI为简称。
到底这个会有多牛？实话讲，我不知道（自知能力有限，没有投过）。但CCF人工智能领域会议排名No.1的头衔，给人感觉，这就是AI领域的“中神通王重阳”。到这里可能就有争论了，倒不是NIPS，ICML，CVPR这些会议不如AAAI，只是这三个会议分别偏重于自然语言处理，机器学习和模式识别，而AAAI则是人工智能领域的综合性会议。因此，个人认为大家不分伯仲，都是顶级A类会议。
由于Scope涉及人工智能各个领域，据不可靠网络信息，每年该会议约接收2500余篇稿件，录用500篇左右，录用率在24%-28%之间。从录用率和收录篇数上看，AAAI可能比某些变态级顶级会议还是要稍微仁慈一些的。下图给出了近五年的会议论文收录情况，2018年的情况如何，就看你敢不敢试试啦！
一般来说，从会议近年的sessions可以大致了解到该会议收录稿件的方向，如果你的文章正好能命中且强相关，录用概率可能将会提高（当然不排除会议为您的Contribution设立新的session的可能性）。但像AAAI这样的综合性会议，session太多了，我们这里只给出AAAI 2017的Technical Sessions的链接（http://www.aaai.org/Conferences/AAAI/2017/aaai17program.pdf），有兴趣的可以自行去看。
说了这么多没用，下面该划重点了：
Winter is not coming yet, AAAI 2018 deadline is coming！
AAAI 2018
摘要截稿：2017-09-08
全文截稿：2017-09-11
开会时间：2018-02-02
名称：AAAI Conference onArtificial Intelligence
领域：人工智能
难度：★★★★★
CCF分类：A类
地点：New Orleans, USA
网址：http://www.aaai.org/Conferences/AAAI/aaai18.php
The purpose of the AAAI conference series is to promote research in artificial intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers in AI and its affiliated disciplines. AAAI-18 is the Thirty-Second AAAI Conference on Artificial Intelligence. It will continue the tradition of previous AAAI conferences with technical paper presentations, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, all selected according to the highest standards. AAAI-18 will also include additional programs for students and young researchers.
AAAI-18 welcomes submissions reporting research that advances artificial intelligence, broadly conceived. The conference scope includes all subareas of AI and machine learning. These include (but are not limited to) traditional topics such as search, planning, knowledge representation, reasoning, natural language processing, robotics and perception, multiagent systems, statistical learning, and deep learning. We expressly encourage work that cuts across technical areas, or develops AI techniques in the context of important application domains, such as healthcare, sustainability, transportation, and commerce.
For 2018, the Program Cochairs have absorbed the Cognitive Systems and Computational Sustainability tracks into the main conference technical program, with provision for distinguished oversight of reviews. In addition, the cochairs have initiated an Emerging Topics program which, this year, will encourage submissions and community building in the area of Human-AI Collaboration. Further details are listed below.
